{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T22:26:58Z","timestamp":1768343218445,"version":"3.49.0"},"reference-count":126,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T00:00:00Z","timestamp":1620259200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The rapid development in wireless technologies is positioning the Internet of Things (IoT) as an essential part of our daily lives. Localization is one of the most attractive applications related to IoT. In the past few years, localization has been gaining attention because of its applicability in safety, health monitoring, environment monitoring, and security. As a result, various localization-based wireless frameworks are being presented to improve such applications\u2019 performances based on specific key performance indicators (KPIs). Therefore, this paper explores the recently proposed localization schemes in IoT. Initially, this paper explains the major KPIs of localization. After that, a thorough comparison of recently proposed localization schemes based on the KPIs is presented. The comparison includes an overview, architecture, network structure, performance parameters, and target KPIs. At the end, possible future directions are presented for the researchers working in this domain.<\/jats:p>","DOI":"10.3390\/s21093228","type":"journal-article","created":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T11:10:27Z","timestamp":1620299427000},"page":"3228","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["A Systematic Review of Location Aware Schemes in the Internet of Things"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8965-2790","authenticated-orcid":false,"given":"Muneeb A.","family":"Khan","sequence":"first","affiliation":[{"name":"Department of Software, Sangmyung University, Cheonan 31066, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6512-1562","authenticated-orcid":false,"given":"Abdul","family":"Saboor","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering (ESAT), KU Leuven, 3000 Leuven, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyun-chul","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Software, Sangmyung University, Cheonan 31066, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4010-232X","authenticated-orcid":false,"given":"Heemin","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Software, Sangmyung University, Cheonan 31066, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,5,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.chb.2018.09.001","article-title":"Internet use and job satisfaction","volume":"90","author":"Castellacci","year":"2019","journal-title":"Comput. Hum. Behav."},{"key":"ref_2","first-page":"286","article-title":"Negative outcomes of Internet use: A qualitative analysis in the homes of families with different educational backgrounds","volume":"35","author":"Scheerder","year":"2019","journal-title":"Inf. Soc."},{"key":"ref_3","unstructured":"World Internet Users Statistics and 2020 World Population Stats (2021, March 29). Internet World Stats. Available online: https:\/\/www.internetworldstats.com\/stats.htm."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.future.2018.09.058","article-title":"Internet of things forensics: Recent advances, taxonomy, requirements, and open challenges","volume":"92","author":"Yaqoob","year":"2019","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_5","first-page":"154","article-title":"A review on the different types of internet of things (IoT)","volume":"11","author":"Srinivasan","year":"2019","journal-title":"J. Adv. Res. Dyn. Control. Syst."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"101913","DOI":"10.1016\/j.adhoc.2019.101913","article-title":"Machine learning for wireless communications in the Internet of Things: A comprehensive survey","volume":"93","author":"Jagannath","year":"2019","journal-title":"Ad Hoc Netw."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1109\/MNET.001.1900087","article-title":"Radio resource management in NB-IoT systems: Empowered by interference prediction and flexible duplexing","volume":"34","author":"Malik","year":"2019","journal-title":"IEEE Netw."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1084","DOI":"10.1016\/j.procs.2019.04.154","article-title":"Dorm: Narrowband iot development platform and indoor deployment coverage analysis","volume":"151","author":"Khan","year":"2019","journal-title":"Procedia Comput. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.inffus.2018.09.013","article-title":"Machine learning algorithms for wireless sensor networks: A survey","volume":"49","author":"Kumar","year":"2019","journal-title":"Inf. Fusion"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"23022","DOI":"10.1109\/ACCESS.2020.2970118","article-title":"Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios","volume":"8","author":"Shafique","year":"2020","journal-title":"IEEE Access"},{"key":"ref_11","unstructured":"(2021, March 29). Cisco Annual Internet Report-Cisco Annual Internet Report (2018\u20132023) White Paper. Available online: https:\/\/www.cisco.com\/c\/en\/us\/solutions\/collateral\/executive-perspectives\/annual-internet-report\/white-paper-c11-741490.html#:~:text=By%202023%2C%20global%20fixed%20broadband,average%20mobile%20connection%20by%202023."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"82721","DOI":"10.1109\/ACCESS.2019.2924045","article-title":"A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures","volume":"7","author":"Hassija","year":"2019","journal-title":"IEEE Access"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Hamdan, O., Shanableh, H., Zaki, I., Al-Ali, A.R., and Shanableh, T. (2019, January 11\u201313). IoT-Based Interactive Dual Mode Smart Home Automation. Proceedings of the 2019 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA.","DOI":"10.1109\/ICCE.2019.8661935"},{"key":"ref_14","unstructured":"Trappey, A.J.C., Trappey, C.V., Govindarajan, U.H., and Sun, J.J.H. (2019). Patent Value Analysis Using Deep Learning Models\u2014The Case of IoT Technology Mining for the Manufacturing Industry. IEEE Trans. Eng. Manag., 1\u201313."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"62962","DOI":"10.1109\/ACCESS.2019.2913984","article-title":"Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions","volume":"7","author":"Saleem","year":"2019","journal-title":"IEEE Access"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Saboor, A., Mustafa, A., Ahmad, R., Khan, M.A., Haris, M., and Hameed, R. (2019, January 13\u201315). Evolution of Wireless Standards for Health Monitoring. Proceedings of the 2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON), Jaipur, India.","DOI":"10.1109\/IEMECONX.2019.8877040"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2605","DOI":"10.1109\/JIOT.2017.2785861","article-title":"Energy Efficiency Optimization with SWIPT in MIMO Broadcast Channels for Internet of Things","volume":"5","author":"Tang","year":"2018","journal-title":"IEEE Internet Things J."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1007\/s10462-018-9648-9","article-title":"A review on intelligent process for smart home applications based on IoT: Coherent taxonomy, motivation, open challenges, and recommendations","volume":"53","author":"Zaidan","year":"2020","journal-title":"Artif. Intell. Rev."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Rahman, A., Li, T., and Wang, Y. (2020). Recent advances in indoor localization via visible lights: A survey. Sensors, 20.","DOI":"10.3390\/s20051382"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Elbes, M., Alrawashdeh, T., Almaita, E., AlZu\u2019bi, S., and Jararweh, Y. (2020). A platform for power management based on indoor localization in smart buildings using long short-term neural networks. Trans. Emerg. Telecommun. Technol., e3867.","DOI":"10.1002\/ett.3867"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Giri, A., Dutta, S., and Neogy, S. (2020). Fuzzy logic-based range-free localization for wireless sensor networks in agriculture. Advanced Computing and Systems for Security, Springer.","DOI":"10.1007\/978-981-13-8962-7_1"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"McAllister, T.D., El-Tawab, S., and Heydari, M.H. (2017, January 28). Localization of Health Center Assets Through an IoT Environment (LoCATE). Proceedings of the 2017 Systems and Information Engineering Design Symposium (SIEDS), Charlottesville, VA, USA.","DOI":"10.1109\/SIEDS.2017.7937703"},{"key":"ref_23","first-page":"69","article-title":"Research of node localization algorithm based on wireless sensor networks in marine environment monitoring","volume":"18","author":"Song","year":"2018","journal-title":"J. Comput. Methods Sci. Eng."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Ramnath, S., Javali, A., Narang, B., Mishra, P., and Routray, S.K. (2017, January 19\u201320). IoT based localization and tracking. Proceedings of the 2017 International Conference on IoT and Application (ICIOT), Nagapattinam, India.","DOI":"10.1109\/ICIOTA.2017.8073629"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2028","DOI":"10.1109\/COMST.2018.2798591","article-title":"Location of Things (LoT): A Review and Taxonomy of Sensors Localization in IoT Infrastructure","volume":"20","author":"Shit","year":"2018","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"3565","DOI":"10.1109\/COMST.2019.2921972","article-title":"A state-of-the-art survey on multidimensional scaling-based localization techniques","volume":"21","author":"Saeed","year":"2019","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1016\/j.procs.2019.04.068","article-title":"Comparative study on range free localization algorithms","volume":"151","author":"Shakshuki","year":"2019","journal-title":"Procedia Comput. Sci."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1117\/12.542491","article-title":"Impact of energy depletion and reliability on wireless sensor network connectivity","volume":"5440","author":"Lee","year":"2004","journal-title":"Digit. Wirel. Commun. VI"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2011","DOI":"10.1109\/COMST.2018.2803740","article-title":"How Can Heterogeneous Internet of Things Build Our Future: A Survey","volume":"20","author":"Qiu","year":"2018","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.adhoc.2015.05.014","article-title":"An efficient user authentication and key agreement scheme for heterogeneous wireless sensor network tailored for the Internet of Things environment","volume":"36","author":"Farash","year":"2016","journal-title":"Ad Hoc Netw."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.aeue.2017.10.034","article-title":"Node-power-based MAC protocol with adaptive listening period for wireless sensor networks","volume":"84","author":"Ramadan","year":"2018","journal-title":"AEU Int. J. Electron. Commun."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"264","DOI":"10.7326\/0003-4819-151-4-200908180-00135","article-title":"Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement","volume":"151","author":"Moher","year":"2009","journal-title":"Ann. Intern. Med."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2568","DOI":"10.1109\/COMST.2019.2911558","article-title":"A survey of indoor localization systems and technologies","volume":"21","author":"Zafari","year":"2019","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1327","DOI":"10.1109\/COMST.2016.2632427","article-title":"Recent advances in indoor localization: A survey on theoretical approaches and applications","volume":"19","author":"Yassin","year":"2016","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.cosrev.2018.09.001","article-title":"Indoor location identification technologies for real-time IoT-based applications: An inclusive survey","volume":"30","author":"Oguntala","year":"2018","journal-title":"Comput. Sci. Rev."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"3607","DOI":"10.1109\/COMST.2018.2855063","article-title":"A survey of enabling technologies for network localization, tracking, and navigation","volume":"20","author":"Laoudias","year":"2018","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1186\/s13673-019-0207-4","article-title":"Indoor acoustic localization: A survey","volume":"10","author":"Liu","year":"2020","journal-title":"Hum. Centric Comput. Inf. Sci."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1109\/COMST.2018.2867935","article-title":"Indoor positioning technologies without offline fingerprinting map: A survey","volume":"21","author":"Jang","year":"2018","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1109\/COMST.2015.2448632","article-title":"A survey of fingerprint-based outdoor localization","volume":"18","author":"Vo","year":"2015","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1963","DOI":"10.1109\/COMST.2018.2806558","article-title":"A survey of positioning systems using visible LED lights","volume":"20","author":"Zhuang","year":"2018","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Do, T.H., and Yoo, M. (2016). An in-depth survey of visible light communication based positioning systems. Sensors, 16.","DOI":"10.3390\/s16050678"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2836","DOI":"10.1109\/COMST.2017.2703620","article-title":"Localization and positioning systems for emergency responders: A survey","volume":"19","author":"Ferreira","year":"2017","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2933232","article-title":"A survey on wireless indoor localization from the device perspective","volume":"49","author":"Xiao","year":"2016","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1347","DOI":"10.1109\/COMST.2016.2637663","article-title":"A survey of selected indoor positioning methods for smartphones","volume":"19","author":"Davidson","year":"2016","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"176767","DOI":"10.1109\/ACCESS.2019.2957753","article-title":"Indoor Smartphone Localization: A Hybrid WiFi RTT-RSS Ranging Approach","volume":"7","author":"Guo","year":"2019","journal-title":"IEEE Access"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"3119","DOI":"10.36478\/jeasci.2019.3119.3129","article-title":"Detection and Tracking Survey for Smart Home Using Wireless Sensor Network","volume":"14","author":"Jadaa","year":"2019","journal-title":"J. Eng. Appl. Sci"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"3533","DOI":"10.1109\/JSEN.2014.2329391","article-title":"A stable routing framework for tree-based routing structures in WSNs","volume":"14","author":"Delaney","year":"2014","journal-title":"IEEE Sens. J."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1016\/j.compeleceng.2013.06.014","article-title":"A dynamic lookahead tree based tracking algorithm for wireless sensor networks using particle filtering technique","volume":"40","author":"Alaybeyoglu","year":"2014","journal-title":"Comput. Electr. Eng."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1016\/j.protcy.2014.10.271","article-title":"Low power prediction mechanism for wsn-based object tracking","volume":"17","author":"Mirsadeghi","year":"2014","journal-title":"Procedia Technol."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Gupta, A., Patil, S., and Zaveri, M. (2012, January 11\u201313). Lost target recovery in wireless sensor network using tracking. Proceedings of the 2012 International Conference on Communication Systems and Network Technologies, Rajkot, Gujarat, India.","DOI":"10.1109\/CSNT.2012.83"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Rouhani, S., and Haghighat, A.T. (2015, January 13\u201315). Boundary static clustering target tracking in wirless sensor networks. Proceedings of the 2015 6th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Dallas-Fortworth, TX, USA.","DOI":"10.1109\/ICCCNT.2015.7395202"},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Wahdan, M.A., Al-Mistarihi, M.F., and Shurman, M. (2015, January 25\u201329). Static cluster and dynamic cluster head (SCDCH) adaptive prediction-based algorithm for target tracking in wireless sensor networks. Proceedings of the 2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, Croatia.","DOI":"10.1109\/MIPRO.2015.7160342"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1270","DOI":"10.1109\/TSP.2015.2498126","article-title":"Multiple target tracking in urban environments","volume":"64","author":"Zhou","year":"2015","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1016\/j.procs.2015.08.065","article-title":"Multi-Camera Activation Scheme for Target Tracking with Dynamic Active Camera Group and Virtual Grid-Based Target Recovery","volume":"58","author":"Amudha","year":"2015","journal-title":"Procedia Comput. Sci."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Bhowmik, S., Das, S., and Giri, C. (2016, January 21\u201324). Tree based tracking target in wireless sensor network. Proceedings of the 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Jaipur, India.","DOI":"10.1109\/ICACCI.2016.7732077"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"980","DOI":"10.1016\/j.protcy.2016.05.215","article-title":"Particle filters for multiple target tracking","volume":"24","author":"Jinan","year":"2016","journal-title":"Procedia Technol."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1952","DOI":"10.1007\/s11227-016-1898-1","article-title":"Improved clustering algorithms for target tracking in wireless sensor networks","volume":"73","author":"Darabkh","year":"2017","journal-title":"J. Supercomput."},{"key":"ref_58","first-page":"83","article-title":"Using clustering for target tracking in vehicular ad hoc networks","volume":"9","author":"Khakpour","year":"2017","journal-title":"Veh. Commun."},{"key":"ref_59","first-page":"3365","article-title":"Prediction Based Moving Object Tracking in Wireless Sensor Network","volume":"4","author":"Joshi","year":"2017","journal-title":"Int. Res. J. Eng. Technol."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1550147717703115","DOI":"10.1177\/1550147717703115","article-title":"ASMT: An augmented state-based multi-target tracking algorithm in wireless sensor networks","volume":"13","author":"Xiao","year":"2017","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1007\/s11235-016-0245-4","article-title":"Energy-efficient node position identification through payoff matrix and variability analysis","volume":"65","author":"Silva","year":"2017","journal-title":"Telecommun. Syst."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1016\/j.cose.2017.06.009","article-title":"Secure and reliable object tracking in wireless sensor networks","volume":"70","author":"Oracevic","year":"2017","journal-title":"Comput. Secur."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1109\/JSEN.2017.2766630","article-title":"Tracking of mobile sensors using belief functions in indoor wireless networks","volume":"18","author":"Alshamaa","year":"2017","journal-title":"IEEE Sens. J."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Chen, Y.M., Tsai, C.L., and Fang, R.W. (2017, January 20\u201322). TDOA\/FDOA mobile target localization and tracking with adaptive extended Kalman filter. Proceedings of the 2017 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO), Prague, Czech Republic.","DOI":"10.1109\/ICCAIRO.2017.47"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.aeue.2018.03.019","article-title":"Dual head static clustering algorithm for wireless sensor networks","volume":"88","author":"Panag","year":"2018","journal-title":"AEU Int. J. Electron. Commun."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1580","DOI":"10.1109\/TCYB.2018.2805717","article-title":"Adaptive consensus-based distributed target tracking with dynamic cluster in sensor networks","volume":"49","author":"Zhang","year":"2018","journal-title":"IEEE Trans. Cybern."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Qian, H., Fu, P., Li, B., Liu, J., and Yuan, X. (2018). A novel loss recovery and tracking scheme for maneuvering target in hybrid WSNs. Sensors, 18.","DOI":"10.3390\/s18020341"},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Zhang, C., and Fei, S. (2018, January 25\u201327). A Movement Algorithm for Target Group Tracking in Wireless Sensor Networks. Proceedings of the 2018 37th Chinese Control Conference (CCC), Wuhan, China.","DOI":"10.23919\/ChiCC.2018.8484081"},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Li, W., and Han, C. (December, January 30). A Novel Sensor Selection Algorithm for Multi-Target Tracking in Wireless Sensor Networks. Proceedings of the 2018 Chinese Automation Congress (CAC), Xi\u2019an, China.","DOI":"10.1109\/CAC.2018.8623307"},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Darabkh, K.A., and Alsaraireh, N.R. (2018, January 19\u201322). A yet efficient target tracking algorithm in wireless sensor networks. Proceedings of the 2018 15th International Multi-Conference on Systems, Signals & Devices (SSD), Yasmine Hammamet, Tunisia.","DOI":"10.1109\/SSD.2018.8570404"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1504\/IJAHUC.2018.096081","article-title":"High-performance target tracking scheme with low prediction precision requirement in WSNs","volume":"29","author":"Liu","year":"2018","journal-title":"Int. J. Ad Hoc Ubiquitous Comput."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"24846","DOI":"10.1109\/ACCESS.2018.2830762","article-title":"Reliable and cooperative target tracking based on WSN and WiFi in indoor wireless networks","volume":"6","author":"Luo","year":"2018","journal-title":"IEEE Access"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"25764","DOI":"10.1109\/ACCESS.2018.2835162","article-title":"Genetic fuzzy tree based node moving strategy of target tracking in multimodal wireless sensor network","volume":"6","author":"Yu","year":"2018","journal-title":"IEEE Access"},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Vil\u00e0-Valls, J., Closas, P., Bugallo, M.F., and M\u00edguez, J. (2018, January 28\u201331). Distributed Multiple Gaussian Filtering for Multiple Target Localization in Wireless Sensor Networks. Proceedings of the 2018 52nd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA.","DOI":"10.1109\/ACSSC.2018.8645554"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"1925","DOI":"10.1007\/s11277-019-06660-z","article-title":"An Efficient Target Tracking in Directional Sensor Networks Using Adapted Unscented Kalman Filter","volume":"109","author":"Hosseinpour","year":"2019","journal-title":"Wirel. Pers. Commun."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.inffus.2018.04.002","article-title":"Trust-based distributed Kalman filtering for target tracking under malicious cyber attacks","volume":"46","author":"Liang","year":"2019","journal-title":"Inf. Fusion"},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"1550147719892203","DOI":"10.1177\/1550147719892203","article-title":"Exploiting cooperative sensing for accurate target tracking in industrial Internet of things","volume":"15","author":"Khan","year":"2019","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"45994","DOI":"10.1109\/ACCESS.2019.2909667","article-title":"Object Tracking Based on Compressive Features and Extreme Learning Machine","volume":"7","author":"Liu","year":"2019","journal-title":"IEEE Access"},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"40488","DOI":"10.1109\/ACCESS.2019.2904731","article-title":"LEMOn: Wireless Localization for IoT Employing a Location-Unaware Mobile Unit","volume":"7","author":"Nguyen","year":"2019","journal-title":"IEEE Access"},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"101415","DOI":"10.1109\/ACCESS.2019.2930735","article-title":"Efficient and accurate target localization in underwater environment","volume":"7","author":"Ullah","year":"2019","journal-title":"IEEE Access"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"3473","DOI":"10.1109\/JSEN.2019.2892590","article-title":"SWiBluX: Multi-Sensor Deep Learning Fingerprint for precise real-time indoor tracking","volume":"19","year":"2019","journal-title":"IEEE Sens. J."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"67745","DOI":"10.1109\/ACCESS.2019.2918256","article-title":"Multi-sensor multi-target tracking using probability hypothesis density filter","volume":"7","author":"Liu","year":"2019","journal-title":"IEEE Access"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"184676","DOI":"10.1109\/ACCESS.2019.2957973","article-title":"Adaptive Fuzzy Tree System for Target Tracking in Mission Critical Sensor Networks","volume":"7","author":"Liu","year":"2019","journal-title":"IEEE Access"},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"841","DOI":"10.21629\/JSEE.2019.05.03","article-title":"Augmented input estimation in multiple maneuvering target tracking","volume":"30","author":"Mahmoudreza","year":"2019","journal-title":"J. Syst. Eng. Electron."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"10782","DOI":"10.1109\/ACCESS.2020.2965300","article-title":"Hybrid Maps Enhanced Localization System for Mobile Manipulator in Harsh Manufacturing Workshop","volume":"8","author":"Li","year":"2020","journal-title":"IEEE Access"},{"key":"ref_86","unstructured":"Fruhwirth-Reisinger, C., Krispel, G., Possegger, H., and Bischof, H. (2020, January 3\u20135). Towards Data-driven Multi-target Tracking for Autonomous Driving. Proceedings of the 25th Computer Vision Winter Workshop (CVWW), Rogaska Slatina, Slovenia."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"33178","DOI":"10.1109\/ACCESS.2020.2974038","article-title":"Smartphone-Based Indoor Localization with Integrated Fingerprint Signal","volume":"8","author":"Li","year":"2020","journal-title":"IEEE Access"},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"102067","DOI":"10.1016\/j.adhoc.2019.102067","article-title":"Indoor localization using time difference of arrival with UWB signals and unsynchronized devices","volume":"99","author":"Ezpeleta","year":"2020","journal-title":"Ad Hoc Netw."},{"key":"ref_89","doi-asserted-by":"crossref","unstructured":"Wang, Y., Yan, Y., Li, Z., and Cheng, L. (2020). A Mobile Localization Method in Smart Indoor Environment Using Polynomial Fitting for Wireless Sensor Network. J. Sens., 2020.","DOI":"10.1155\/2020\/6787252"},{"key":"ref_90","doi-asserted-by":"crossref","unstructured":"Alakhras, M., Hussein, M., and Oussalah, M. (2020). Location fixing and fingerprint matching fingerprint map construction for indoor localization. J. Sens., 2020.","DOI":"10.1155\/2020\/7801752"},{"key":"ref_91","unstructured":"Yucer, S., Tektas, F., Kilinc, M.V., Kandemir, I., Celebi, H., Genc, Y., and Akgul, Y.S. (2020). RSSI-based Outdoor Localization with Single Unmanned Aerial Vehicle. arXiv."},{"key":"ref_92","doi-asserted-by":"crossref","unstructured":"Chen, Y.S., Hsu, C.S., Huang, C.Y., and Hung, H.M. (2019, January 28\u201330). Outdoor Localization for LoRaWans Using Semi-Supervised Transfer Learning with Grid Segmentation. Proceedings of the 2019 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS), Singapore.","DOI":"10.1109\/VTS-APWCS.2019.8851646"},{"key":"ref_93","doi-asserted-by":"crossref","unstructured":"Haris, M., Franzius, M., and Bauer-Wersing, U. (2019, January 3\u20138). Robust Outdoor Self-localization In Changing Environments. Proceedings of the 2019 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China.","DOI":"10.1109\/IROS40897.2019.8967549"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"664","DOI":"10.1109\/TMC.2019.2897561","article-title":"Real-time Crowd Monitoring using Seamless Indoor-Outdoor Localization","volume":"19","author":"Kulshrestha","year":"2019","journal-title":"IEEE Trans. Mob. Comput."},{"key":"ref_95","doi-asserted-by":"crossref","unstructured":"Sun, Y., Shang, J., and Yang, Y. (2018). Indoor and Outdoor Seamless Localization Method Based on GNSS and WLAN. International Conference in Communications, Signal Processing, and Systems, Springer.","DOI":"10.1007\/978-981-13-6504-1_167"},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/j.jnca.2017.09.003","article-title":"SmartITS: Smartphone-based identification and tracking using seamless indoor-outdoor localization","volume":"98","author":"Kulshrestha","year":"2017","journal-title":"J. Netw. Comput. Appl."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1109\/MCOM.2015.7321972","article-title":"Security and privacy in localization for underwater sensor networks","volume":"53","author":"Li","year":"2015","journal-title":"IEEE Commun. Mag."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3362036","article-title":"Overcoming Security Vulnerabilities in Deep Learning\u2013based Indoor Localization Frameworks on Mobile Devices","volume":"18","author":"Tiku","year":"2019","journal-title":"ACM Trans. Embed. Comput. Syst. (TECS)"},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"122492","DOI":"10.1109\/ACCESS.2019.2937975","article-title":"DeepTAL: Deep Learning for TDOA-Based Asynchronous Localization Security with Measurement Error and Missing Data","volume":"7","author":"Xue","year":"2019","journal-title":"IEEE Access"},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"2551","DOI":"10.1109\/TIFS.2019.2902826","article-title":"Adversarial learning for constrained image splicing detection and localization based on atrous convolution","volume":"14","author":"Liu","year":"2019","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"546","DOI":"10.1109\/JIOT.2016.2557487","article-title":"A Secure and Efficient ID-Based Aggregate Signature Scheme for Wireless Sensor Networks","volume":"4","author":"Shen","year":"2017","journal-title":"IEEE Internet Things J."},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"6132","DOI":"10.1109\/JIOT.2019.2957314","article-title":"FESDA: Fog-Enabled Secure Data Aggregation in Smart Grid IoT Network","volume":"7","author":"Saleem","year":"2019","journal-title":"IEEE Internet Things J."},{"key":"ref_103","doi-asserted-by":"crossref","unstructured":"Qureshi, U.M., Umair, Z., and Hancke, G.P. (2019). Evaluating the implications of varying Bluetooth low energy (BLE) transmission power levels on wireless indoor localization accuracy and precision. Sensors, 19.","DOI":"10.3390\/s19153282"},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"10862","DOI":"10.1109\/JSEN.2020.2993795","article-title":"Dynamic Slot Allocation Using Non Overlapping Backoff Algorithm in IEEE 802.15.6 WBAN","volume":"20","author":"Saboor","year":"2020","journal-title":"IEEE Sens. J."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"1550147719900093","DOI":"10.1177\/1550147719900093","article-title":"In-vehicle localization based on multi-channel Bluetooth Low Energy received signal strength indicator","volume":"16","author":"Yuan","year":"2020","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1016\/j.compeleceng.2017.11.021","article-title":"Deploying charging nodes in wireless rechargeable sensor networks based on improved firefly algorithm","volume":"72","author":"Yang","year":"2018","journal-title":"Comput. Electr. Eng."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"8543","DOI":"10.1109\/JSEN.2018.2883786","article-title":"On Research Challenges in Hybrid Medium-Access Control Protocols for IEEE 802.15.6 WBANs","volume":"19","author":"Saboor","year":"2019","journal-title":"IEEE Sens. J."},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"2652","DOI":"10.1109\/TWC.2019.2906309","article-title":"Localization of energy harvesting empowered underwater optical wireless sensor networks","volume":"18","author":"Saeed","year":"2019","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_109","doi-asserted-by":"crossref","unstructured":"Del Prete, M., Decarli, N., Masotti, D., Dardari, D., and Costanzo, A. (2018, January 10\u201315). Exploitation of multi-sine intermodulation for passive backscattering UWB localization. Proceedings of the 2018 IEEE\/MTT-S International Microwave Symposium-IMS, Philadelphia, PA, USA.","DOI":"10.1109\/MWSYM.2018.8439523"},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"105670","DOI":"10.1016\/j.ijmecsci.2020.105670","article-title":"Designing a phononic crystal with a defect for energy localization and harvesting: Supercell size and defect location","volume":"179","author":"Jo","year":"2020","journal-title":"Int. J. Mech. Sci."},{"key":"ref_111","doi-asserted-by":"crossref","unstructured":"Shearwood, J., Hung, D.M.Y., Cross, P., Preston, S., and Palego, C. (2018, January 10\u201315). Honey-bee localization using an energy harvesting device and power based angle of arrival estimation. Proceedings of the 2018 IEEE\/MTT-S International Microwave Symposium-IMS, Philadelphia, PA, USA.","DOI":"10.1109\/MWSYM.2018.8439173"},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"2254","DOI":"10.1016\/j.rser.2017.08.066","article-title":"Forecasting daily global solar irradiance generation using machine learning","volume":"82","author":"Sharma","year":"2018","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"14013","DOI":"10.1007\/s10586-018-2171-6","article-title":"Wind power generation fault diagnosis based on deep learning model in internet of things (IoT) with clusters","volume":"22","author":"Chen","year":"2019","journal-title":"Clust. Comput."},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"1127","DOI":"10.1109\/LCOMM.2017.2657618","article-title":"SDN-Based Anchor Scheduling Scheme for Localization in Heterogeneous WSNs","volume":"21","author":"Zhu","year":"2017","journal-title":"IEEE Commun. Lett."},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/LSENS.2020.2971555","article-title":"Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach","volume":"4","author":"Nabati","year":"2020","journal-title":"IEEE Sens. Lett."},{"key":"ref_116","doi-asserted-by":"crossref","unstructured":"Singh, S., Kumar, K., and Gupta, S. (2020, January 18\u201319). Machine Learning based Indoor Localization Techniques for Wireless Sensor Networks. Proceedings of the 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), Greater Noida, India.","DOI":"10.1109\/ICACCCN51052.2020.9362802"},{"key":"ref_117","unstructured":"Akhil, K., and Sinha, S. (2020, January 24\u201325). Self-Localization in Large Scale Wireless Sensor Network Using Machine Learning. Proceedings of the 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), Vellore, India."},{"key":"ref_118","doi-asserted-by":"crossref","unstructured":"Konecny, J., Prauzek, M., Martinek, R., Michalek, L., and Tomis, M. (2018, January 17\u201320). Real-time Patient Localization in Urgent Care: System Design and Hardware Perspective. Proceedings of the 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom), Ostrava, Czech Republic.","DOI":"10.1109\/HealthCom.2018.8531110"},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1109\/JSYST.2015.2411745","article-title":"The critical patients localization algorithm using sparse representation for mixed signals in emergency healthcare system","volume":"12","author":"Wan","year":"2015","journal-title":"IEEE Syst. J."},{"key":"ref_120","doi-asserted-by":"crossref","unstructured":"Sierotowicz, M., Connan, M., and Castellini, C. (2020). Human-In-The-Loop Assessment of an Ultralight, Low-Cost Body Posture Tracking Device. Sensors, 20.","DOI":"10.3390\/s20030890"},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"519","DOI":"10.20965\/jaciii.2019.p0519","article-title":"Human Posture Recognition for Estimation of Human Body Condition","volume":"23","author":"Quan","year":"2019","journal-title":"J. Adv. Comput. Intell. Intell. Inform."},{"key":"ref_122","doi-asserted-by":"crossref","first-page":"8958","DOI":"10.1109\/JIOT.2019.2925567","article-title":"Localization and clustering based on swarm intelligence in UAV networks for emergency communications","volume":"6","author":"Arafat","year":"2019","journal-title":"IEEE Internet Things J."},{"key":"ref_123","doi-asserted-by":"crossref","unstructured":"Saboor, A., Ahmad, R., Ahmed, W., and Alam, M.M. (2018, January 27\u201330). A Unique Backoff Algorithm in IEEE 802.15.6 WBAN. Proceedings of the 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), Chicago, IL, USA.","DOI":"10.1109\/VTCFall.2018.8690812"},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1109\/TII.2020.2979690","article-title":"An Indoor Localization Algorithm based on Modified Joint Probabilistic Data Association for Wireless Sensor Network","volume":"17","author":"Cheng","year":"2020","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_125","doi-asserted-by":"crossref","first-page":"1944","DOI":"10.1109\/TASLP.2019.2935837","article-title":"Indoor Multiple Sound Source Localization via Multi-Dimensional Assignment Data Association","volume":"27","author":"Dang","year":"2019","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"key":"ref_126","doi-asserted-by":"crossref","unstructured":"Ge, T., Tharmarasa, R., Lebel, B., Florea, M., and Kirubarajan, T. (2019, January 2\u20135). Target Localization and Sensor Synchronization in the Presence of Data Association Uncertainty. Proceedings of the 2019 22th International Conference on Information Fusion (FUSION), Ottawa, ON, Canada.","DOI":"10.23919\/FUSION43075.2019.9011321"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/9\/3228\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:57:44Z","timestamp":1760162264000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/9\/3228"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,6]]},"references-count":126,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2021,5]]}},"alternative-id":["s21093228"],"URL":"https:\/\/doi.org\/10.3390\/s21093228","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,6]]}}}