{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:48:30Z","timestamp":1781110110212,"version":"3.54.1"},"reference-count":75,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T00:00:00Z","timestamp":1743379200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T00:00:00Z","timestamp":1743379200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Peer-to-Peer Netw. Appl."],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1007\/s12083-025-01957-2","type":"journal-article","created":{"date-parts":[[2025,4,2]],"date-time":"2025-04-02T01:19:37Z","timestamp":1743556777000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["RL-BOT\u2014Reinforcement learning based billfish optimization technique for secured data aggregation in internet of things"],"prefix":"10.1007","volume":"18","author":[{"given":"R.","family":"Rajan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P. Venkata Rama","family":"Raju","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Santhosh Kumar","family":"SVN","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"M.Selvi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"R.Shanmugapriya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,3,31]]},"reference":[{"issue":"3","key":"1957_CR1","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1016\/j.dcan.2022.01.004","volume":"8","author":"N Gai","year":"2022","unstructured":"Gai N, Xue K, Zhu B, Yang J, Liu J, He D (2022) An efcient data aggregation scheme with local diferential privacy in smart grid. Digit Commun Netw 8(3):333\u2013342. https:\/\/doi.org\/10.1016\/j.dcan.2022.01.004","journal-title":"Digit Commun Netw"},{"key":"1957_CR2","doi-asserted-by":"publisher","unstructured":"Ayyasamy RK, Shaikh FB, Lah NSBC, Kalhoro S, Chinnasamy P, Krisnan S (2023) Industry 4.0 digital technologies and information systems: implications for manufacturing frms innovation performance. In: 2023 International Conference on Computer Communication and Informatics (ICCCI), pp 1\u20136. https:\/\/doi.org\/10.1109\/ICCCI56745.2023.10128638","DOI":"10.1109\/ICCCI56745.2023.10128638"},{"key":"1957_CR3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3243542","author":"Y Djenouri","year":"2023","unstructured":"Djenouri Y, Belhadi A, Djenouri D, Srivastava G, Lin JC-W (2023) A secure intelligent system for internet of vehicles: case study on trafc forecasting. IEEE Trans Intell Transp Syst. https:\/\/doi.org\/10.1109\/TITS.2023.3243542","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"1957_CR4","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2023.3235381","author":"H Wang","year":"2023","unstructured":"Wang H, Xu Y, Wang Z, Cai Y, Chen L, Li Y (2023) CenterNet-Auto: a multi-object visual detection algorithm for autonomous driving scenes based on improved CenterNet. IEEE Trans Emerg Top Comput Intell. https:\/\/doi.org\/10.1109\/TETCI.2023.3235381","journal-title":"IEEE Trans Emerg Top Comput Intell"},{"issue":"10","key":"1957_CR5","doi-asserted-by":"publisher","first-page":"6148","DOI":"10.1002\/rnc.6133","volume":"32","author":"Z Chen","year":"2022","unstructured":"Chen Z, Cao H, Zhao S, Li M, Yi B, Guo W, Song X (2022) An LMIs-based back-stepping sliding mode control framework for robust velocity tracking of the automatic driving vehicle on sloped roads. Int J Robust Nonlinear Control 32(10):6148\u20136183","journal-title":"Int J Robust Nonlinear Control"},{"issue":"4","key":"1957_CR6","doi-asserted-by":"publisher","first-page":"3638","DOI":"10.1109\/TITS.2023.3235057","volume":"24","author":"VR Kumar","year":"2023","unstructured":"Kumar VR, Eising C, Witt C, Yogamani S (2023) Surround-view fsheye camera perception for automated driving: overview, survey & challenges. IEEE Trans Intell Transp Syst 24(4):3638\u20133659","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"1957_CR7","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2023.3276644","author":"M Kiac","year":"2023","unstructured":"Kiac M, Sikora P, Malina L, Martinasek Z, Srivastava G (2023) ADEROS: artifcial intelligencebased detection system of critical events for road security. IEEE Syst J. https:\/\/doi.org\/10.1109\/JSYST.2023.3276644","journal-title":"IEEE Syst J"},{"key":"1957_CR8","doi-asserted-by":"publisher","DOI":"10.1109\/TTE.2023.3238101","author":"S Hou","year":"2023","unstructured":"Hou S, Yin H, Pla B, Gao J, Chen H (2023) Real-time energy management strategy of a fuel cell electric vehicle with global optimal learning. IEEE Trans Transp Electrif. https:\/\/doi.org\/10.1109\/TTE.2023.3238101","journal-title":"IEEE Trans Transp Electrif"},{"issue":"8","key":"1957_CR9","doi-asserted-by":"publisher","first-page":"8225","DOI":"10.1109\/TVT.2022.3176620","volume":"71","author":"M Cao","year":"2022","unstructured":"Cao M, Li VO, Shuai Q (2022) Book your green wave: exploiting navigation information for intelligent trafc signal control. IEEE Trans Veh Technol 71(8):8225\u20138236","journal-title":"IEEE Trans Veh Technol"},{"key":"1957_CR10","doi-asserted-by":"publisher","first-page":"103157","DOI":"10.1016\/j.adhoc.2023.103157","volume":"146","author":"P Hu","year":"2023","unstructured":"Hu P, Chu X, Lv L, Zuo K, Ni T, Wang T, Shen Z (2023) An efcient and secure data collection scheme for predictive maintenance of vehicles. Ad Hoc Netw 146:103157","journal-title":"Ad Hoc Netw"},{"key":"1957_CR11","doi-asserted-by":"publisher","unstructured":"Cui Y, Cao Z, Xie Y, Jiang X, Tao F, Chen YV, Li L, Liu D (2022) Dg-labeler and DGL-MOTS dataset: boost the autonomous driving perception. In: IEEE\/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3\u20138, 2022. IEEE, pp 3411\u2013 3420. https:\/\/doi.org\/10.1109\/WACV51458.2022.00347","DOI":"10.1109\/WACV51458.2022.00347"},{"issue":"3","key":"1957_CR12","doi-asserted-by":"publisher","first-page":"1767","DOI":"10.1109\/TII.2018.2809672","volume":"15","author":"Y Liu","year":"2018","unstructured":"Liu Y, Guo W, Fan CI, Chang L, Cheng C (2018) A practical privacy-preserving data aggregation (3PDA) scheme for smart grid. IEEE Trans Ind Inform 15(3):1767\u20131774","journal-title":"IEEE Trans Ind Inform"},{"key":"1957_CR13","doi-asserted-by":"crossref","unstructured":"Zheng Z, Li Z, Li J, Jiang H, Li T, Guo B (2022) Utility-aware and privacy-preserving trajectory synthesis model that resists social relationship privacy attacks. ACM Trans Intell Syst Technol (TIST)","DOI":"10.1145\/3495160"},{"issue":"1","key":"1957_CR14","doi-asserted-by":"publisher","first-page":"187","DOI":"10.3390\/s20010187","volume":"20","author":"Q Ren","year":"2020","unstructured":"Ren Q, Yao G (2020) An energy-efcient cluster head selection scheme for energy-harvesting wireless sensor networks. Sensors 20(1):187","journal-title":"Sensors"},{"issue":"1","key":"1957_CR15","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1504\/IJGUC.2019.097225","volume":"10","author":"S Ahmed","year":"2019","unstructured":"Ahmed S, Khan MA, Ishtiaq A, Khan ZA, Ali MT (2019) Energy harvesting techniques for routing issues in wireless sensor networks. Int J Grid Util Comput 10(1):10","journal-title":"Int J Grid Util Comput"},{"key":"1957_CR16","doi-asserted-by":"crossref","unstructured":"Molaei S et\u00a0al (2022) FDCNet: Presentation of the fuzzy CNN and fractal feature extraction for detection and classifcation of tumors. Comput Intell Neurosci","DOI":"10.1155\/2022\/7543429"},{"issue":"4","key":"1957_CR17","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1049\/iet-wss.2019.0178","volume":"10","author":"AR Basha","year":"2020","unstructured":"Basha AR (2020) Energy efcient aggregation technique-based realisable secure aware routing protocol for wireless sensor network. IET Wireless Sensor Systems 10(4):166\u2013174","journal-title":"IET Wireless Sensor Systems"},{"key":"1957_CR18","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1016\/j.comcom.2020.01.018","volume":"151","author":"S Vimal","year":"2020","unstructured":"Vimal S, Khari M, Dey N, Crespo RG, Robinson YH (2020) Enhanced resource allocation in mobile edge computing using reinforcement learning based MOACO algorithm for IIOT. Comput Commun 151:355\u2013364","journal-title":"Comput Commun"},{"issue":"5","key":"1957_CR19","first-page":"657","volume":"38","author":"T Suriya Praba","year":"2020","unstructured":"Suriya Praba T, Sethukarasi T, Venkatesh V (2020) Krill herd-based TSP approach for mobile sink path optimization in large scale wireless sensor networks. Journal of Intelligent & Fuzzy Systems 38(5):657","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"key":"1957_CR20","doi-asserted-by":"crossref","unstructured":"Cao B et\u00a0al (2022) Multiobjective evolution of the explainable fuzzy rough neural network with gene expression programming. IEEE Trans Fuzzy Syst2. Han S et\u00a0al (2020) Location privacy-preserving distance computation for spatial crowdsourcing. IEEE Internet Things J 7(8):7550\u20137563","DOI":"10.1109\/JIOT.2020.2985454"},{"key":"1957_CR21","first-page":"102243","volume":"52","author":"A Kumar","year":"2022","unstructured":"Kumar A et al (2022) Optimal cluster head selection for energy efficient wireless sensor network using hybrid competitive swarm optimization and harmony search algorithm. Sustain Energy Technol Assess 52:102243","journal-title":"Sustain Energy Technol Assess"},{"key":"1957_CR22","doi-asserted-by":"publisher","first-page":"107257","DOI":"10.1016\/j.comnet.2020.107257","volume":"176","author":"KA Darabkh","year":"2020","unstructured":"Darabkh KA, Wafa\u2019a KK, Ala\u2019F K (2020) LiM-AHP-GC: life time maximizing based on analytical hierarchal process and genetic clustering protocol for the internet of things environment. Comput Netw 176:107257","journal-title":"Comput Netw"},{"issue":"6","key":"1957_CR23","doi-asserted-by":"publisher","first-page":"2008","DOI":"10.1007\/s12555-021-0632-9","volume":"20","author":"J Yuan","year":"2022","unstructured":"Yuan J, Wang Y, Ji Z (2022) An efcient privacy preserving scheme for distributed data aggregation in smart grid. Int J Control Autom Syst 20(6):2008\u20132020","journal-title":"Int J Control Autom Syst"},{"key":"1957_CR24","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.isprsjprs.2022.02.011","volume":"186","author":"Q Wang","year":"2022","unstructured":"Wang Q et al (2022) Continuous space ant colony algorithm for automatic selection of orthophoto mosaic seamline network. ISPRS J Photogramm Remote Sens 186:201\u2013217","journal-title":"ISPRS J Photogramm Remote Sens"},{"issue":"4","key":"1957_CR25","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.1007\/s11831-018-9267-2","volume":"26","author":"D Vinodha","year":"2019","unstructured":"Vinodha D, Anita EM (2019) Secure data aggregation techniques for wireless sensor networks: a review. Arch Comput Methods Eng 26(4):1007\u20131027. https:\/\/doi.org\/10.1007\/s11831-018-9267-2","journal-title":"Arch Comput Methods Eng"},{"key":"1957_CR26","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.adhoc.2017.11.004","volume":"69","author":"P Zhang","year":"2018","unstructured":"Zhang P, Wang J, Guo K, Wu F, Min G (2018) Multi-functional secure data aggregation schemes for wsns. Ad Hoc Netw 69:86\u201399. https:\/\/doi.org\/10.1016\/j.adhoc.2017.11.004","journal-title":"Ad Hoc Netw"},{"issue":"2","key":"1957_CR27","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1007\/s11235-015-0047-0","volume":"62","author":"DE Boubiche","year":"2016","unstructured":"Boubiche DE, Boubiche S, Toral-Cruz H, Pathan A-SK, Bilami A, Athmani S (2016) Sdaw: secure data aggregation watermarking-based scheme in homogeneous wsns. Telecommun Syst 62(2):277\u2013288. https:\/\/doi.org\/10.1007\/s11235-015-0047-0","journal-title":"Telecommun Syst"},{"key":"1957_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jpdc.2017.06.019","volume":"111","author":"H Zhong","year":"2018","unstructured":"Zhong H, Shao L, Cui J, Xu Y (2018) An efficient and secure recoverable data aggregation scheme for heterogeneous wireless sensor networks. J Parallel Distrib Comput 111:1\u201312. https:\/\/doi.org\/10.1016\/j.jpdc.2017.06.019","journal-title":"J Parallel Distrib Comput"},{"key":"1957_CR29","doi-asserted-by":"publisher","unstructured":"Alghamdi WY, Wu H, Kanhere SS (2017) Reliable and secure end-to-end data aggregation using secret sharing in wsns. In: 2017 IEEE wireless communications and networking conference (WCNC). IEEE, pp 1\u20136, https:\/\/doi.org\/10.1109\/WCNC.2017.7925558","DOI":"10.1109\/WCNC.2017.7925558"},{"issue":"3","key":"1957_CR30","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1109\/TSMCC.2010.2056919","volume":"41","author":"D Wu","year":"2011","unstructured":"Wu D, Wong MH (2011) Fast and simultaneous data aggregation over multiple regions in wireless sensor networks. IEEE Trans Syst Man Cybern Part C Appl Rev 41(3):333\u2013343. https:\/\/doi.org\/10.1109\/TSMCC.2010.2056919","journal-title":"IEEE Trans Syst Man Cybern Part C Appl Rev"},{"key":"1957_CR31","doi-asserted-by":"publisher","unstructured":"Shu Q, Hu Q, Zheng J, Mitton N (2013) A dependable slepian-wolf coding-based clustering algorithm for data aggregation in wireless sensor networks. 2013 International Conference on Wireless Communications and Signal Processing, WCSP 2013, pp 1\u20136. https:\/\/doi.org\/10.1109\/WCSP.2013.6677109","DOI":"10.1109\/WCSP.2013.6677109"},{"issue":"5","key":"1957_CR32","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1109\/TPDS.2012.209","volume":"24","author":"F Ren","year":"2013","unstructured":"Ren F, Zhang J, Wu Y, He T, Chen C, Lin C (2013) Attribute-Aware Data Aggregation Using Potential-Based Dynamic Routing in Wireless Sensor Networks. IEEE Trans Parallel Distrib Syst 24(5):881\u2013892","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"1957_CR33","doi-asserted-by":"publisher","unstructured":"Dao\u00a0K, Trong-The N, Jeng-Shyang P, Yu Q, Quoc-Anh L (2020) Identifcation failure data for cluster heads aggregation in WSN Based on improving classifcation of SVM. IEEE Access 1\u20131. https:\/\/doi.org\/10.1109\/ACCESS.2020.2983219","DOI":"10.1109\/ACCESS.2020.2983219"},{"key":"1957_CR34","doi-asserted-by":"crossref","unstructured":"Mohanaradhya, Sumithra Devi KA (2019) Novel Approaches to Enhance Wireless Sensor Network Life time by Even Distribution of Cluster Heads and Avoiding Redundant Data, 2019 1st International Conference on Advanced Technologies in Intelligent Control, Environ Comput Commun Eng (ICATIECE)","DOI":"10.1109\/ICATIECE45860.2019.9063795"},{"key":"1957_CR35","doi-asserted-by":"publisher","unstructured":"Jain S, Bharot N (2019) K medoids based clustering algorithm with minimum spanning tree in wireless sensor network. 2019 International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, pp 1771\u20131776. https:\/\/doi.org\/10.1109\/ICCES45898.2019.9002548","DOI":"10.1109\/ICCES45898.2019.9002548"},{"key":"1957_CR36","doi-asserted-by":"publisher","unstructured":"Cheng L, Guo S, Wang Y, Yang Y (2016) Lifting wavelet compression-based data aggregation in big data wireless sensor networks. 2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS), Wuhan, China, pp 561\u2013568. https:\/\/doi.org\/10.1109\/ICPADS.2016.0080","DOI":"10.1109\/ICPADS.2016.0080"},{"key":"1957_CR37","doi-asserted-by":"publisher","unstructured":"Abba Ari AA, Gueroui A, Yenke BO, Labraoui N (2016) Energy efcient clustering algorithm for wireless sensor networks using the ABC metaheuristic. 2016 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, pp 1\u20136. https:\/\/doi.org\/10.1109\/ICCCI. 2016.7480010","DOI":"10.1109\/ICCCI"},{"key":"1957_CR38","doi-asserted-by":"crossref","unstructured":"Borkar G, Patil L (2019) A novel clustering approach and adaptive SVM classifer for intrusion detection in WSN: a data mining concept. Sustain Comput: Inform Syst 23. 10.1016\/j. suscom.2019.06.002","DOI":"10.1016\/j.suscom.2019.06.002"},{"key":"1957_CR39","doi-asserted-by":"publisher","first-page":"3507600","DOI":"10.1155\/2023\/3507600","volume":"1","author":"S Sankar","year":"2023","unstructured":"Sankar S, Ramasubbareddy S, Dhanaraj RK, Balusamy B, Gupta P, Ibrahim W (2023) Verma R (2023) Cluster head selection for the internet of things using a sandpiper optimization algorithm (SOA). Journal of Sensors 1:3507600","journal-title":"Journal of Sensors"},{"key":"1957_CR40","doi-asserted-by":"publisher","first-page":"104892","DOI":"10.1016\/j.micpro.2023.104892","volume":"101","author":"S Singh","year":"2023","unstructured":"Singh S, Garg D, Malik A (2023) A novel cluster head selection algorithm based IoT enabled heterogeneous WSNs distributed architecture for smart city. Microprocess Microsyst 101:104892","journal-title":"Microprocess Microsyst"},{"issue":"11","key":"1957_CR41","doi-asserted-by":"publisher","first-page":"12935","DOI":"10.1109\/tii.2024.3431020","volume":"20","author":"C Li","year":"2024","unstructured":"Li C et al (2024) RFL-APIA: A comprehensive framework for mitigating poisoning attacks and promoting model aggregation in Iiot Federated Learning. IEEE Trans Industr Inf 20(11):12935\u201312944. https:\/\/doi.org\/10.1109\/tii.2024.3431020","journal-title":"IEEE Trans Industr Inf"},{"key":"1957_CR42","doi-asserted-by":"publisher","unstructured":"Huang, W. et al. (2023) \u2018Safe-nora: Safe reinforcement learning-based mobile network resource allocation for diverse user demands\u2019, Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, pp. 885\u2013894. https:\/\/doi.org\/10.1145\/3583780.3615043.","DOI":"10.1145\/3583780.3615043"},{"key":"1957_CR43","doi-asserted-by":"publisher","unstructured":"Xu, G. et al. (2024) \u2018A model value transfer incentive mechanism for Federated Learning with smart contracts in AIoT\u2019, IEEE Internet of Things Journal, pp. 1\u20131. https:\/\/doi.org\/10.1109\/jiot.2024.3468443.","DOI":"10.1109\/jiot.2024.3468443"},{"issue":"1","key":"1957_CR44","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1007\/s11227-021-03898-y","volume":"78","author":"J Luo","year":"2021","unstructured":"Luo J et al (2021) Using deep belief network to construct the agricultural information system based on internet of things. J Supercomput 78(1):379\u2013405. https:\/\/doi.org\/10.1007\/s11227-021-03898-y","journal-title":"J Supercomput"},{"issue":"16","key":"1957_CR45","doi-asserted-by":"publisher","first-page":"17844","DOI":"10.1007\/s11227-022-04548-7","volume":"78","author":"AK Al-Qurabat","year":"2022","unstructured":"Al-Qurabat AK, Abdulzahra SA, Idrees AK (2022) Two-level energy-efficient data reduction strategies based on sax-LZW and hierarchical clustering for minimizing the huge data conveyed on the internet of things networks. J Supercomput 78(16):17844\u201317890. https:\/\/doi.org\/10.1007\/s11227-022-04548-7","journal-title":"J Supercomput"},{"key":"1957_CR46","doi-asserted-by":"publisher","unstructured":"Idrees, A.K., Jaoude, C.A. and Al-Qurabat, A.K. (2020) \u2018Data reduction and cleaning approach for energy-saving in wireless sensors networks of IOT\u2019, 2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), pp. 1\u20136. https:\/\/doi.org\/10.1109\/wimob50308.2020.9253429.","DOI":"10.1109\/wimob50308.2020.9253429"},{"issue":"5","key":"1957_CR47","first-page":"4644","volume":"13","author":"AKM Al-Qurabat","year":"2018","unstructured":"Al-Qurabat AKM, Idrees AK (2018) Distributed data aggregation and selective forwarding protocol for improving lifetime of wireless sensor networks. J Eng Appl Sci 13(5):4644\u20134653","journal-title":"J Eng Appl Sci"},{"issue":"4","key":"1957_CR48","doi-asserted-by":"publisher","first-page":"579","DOI":"10.33640\/2405-609x.3259","volume":"8","author":"AM Abdulzahra","year":"2022","unstructured":"Abdulzahra AM, Al-Qurabat AK (2022) A clustering approach based on fuzzy C-means in wireless sensor networks for IOT Applications. Karbala Int J Modern Sci 8(4):579\u2013595. https:\/\/doi.org\/10.33640\/2405-609x.3259","journal-title":"Karbala Int J Modern Sci"},{"key":"1957_CR49","doi-asserted-by":"publisher","first-page":"100765","DOI":"10.1016\/j.iot.2023.100765","volume":"22","author":"AM Abdulzahra","year":"2023","unstructured":"Abdulzahra AM, Al-Qurabat AK, Abdulzahra SA (2023) Optimizing energy consumption in WSN-based IOT using unequal clustering and sleep scheduling methods. Internet of Things 22:100765. https:\/\/doi.org\/10.1016\/j.iot.2023.100765","journal-title":"Internet of Things"},{"key":"1957_CR50","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1109\/ICNAS55512.2022.9944716","volume":"2022","author":"W Bassem","year":"2022","unstructured":"Bassem W, Al-Qurabat AKM (2022) An improved energy efficient clustering protocol for wireless sensor networks. International Conference for Natural and Applied Sciences (ICNAS) 2022:23\u201328. https:\/\/doi.org\/10.1109\/ICNAS55512.2022.9944716","journal-title":"International Conference for Natural and Applied Sciences (ICNAS)"},{"key":"1957_CR51","doi-asserted-by":"publisher","unstructured":"Abdulzahra AMK and Al-Qurabat AKM (2023) \"An energy-efficient clustering protocol for the lifetime elongation of wireless sensors in IoT networks,\" in IT Applications for Sustainable Living, M. H. Abu Bakar, T. A. Abdul Razak, and A. \u00d6chsner, Eds., SpringerBriefs in Applied Sciences and Technology, Springer, Cham 113\u2013128, https:\/\/doi.org\/10.1007\/978-3-031-40751-2_11.","DOI":"10.1007\/978-3-031-40751-2_11"},{"issue":"2","key":"1957_CR52","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1504\/IJCAT.2023.133035","volume":"72","author":"WB Nedham","year":"2023","unstructured":"Nedham WB, Al-Qurabat AKM (2023) A comprehensive review of clustering approaches for energy efficiency in wireless sensor networks. Int J Comput Appl Technol 72(2):139\u2013160","journal-title":"Int J Comput Appl Technol"},{"issue":"4","key":"1957_CR53","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1504\/IJCAT.2023.132401","volume":"71","author":"W Bassem","year":"2023","unstructured":"Bassem W, Al-Qurabat AKM (2023) A review of current prediction techniques for extending the lifetime of wireless sensor networks. Int J Comput Appl Technol 71(4):352\u2013362","journal-title":"Int J Comput Appl Technol"},{"key":"1957_CR54","doi-asserted-by":"crossref","unstructured":"Al-hajjar ALN and Al-Qurabat AKM (2023) \"An overview of machine learning methods in enabling IoMT-based epileptic seizure detection,\" The Journal of Supercomputing, pp. 1\u201348","DOI":"10.1007\/s11227-023-05299-9"},{"key":"1957_CR55","doi-asserted-by":"crossref","unstructured":"Jabar MK and Al-Qurabat AKM (2021) \"Human activity diagnosis system based on the internet of things,\" Journal of Physics: Conference Series, vol. 1879, no. 2, p. 022079, IOP Publishing.","DOI":"10.1088\/1742-6596\/1879\/2\/022079"},{"key":"1957_CR56","doi-asserted-by":"crossref","unstructured":"Noor Al-hajjar AL, & Al-Qurabat AKM (2023) Epileptic seizure detection using feature importance and ML classifiers. Journal of Education for Pure Science-University of Thi-Qar, 13(2).","DOI":"10.32792\/jeps.v13i2.310"},{"key":"1957_CR57","doi-asserted-by":"crossref","unstructured":"Abdoul Raheem RA, & Al-Qurabat AKM (2022) Developing a predictive health care system for diabetes diagnosis as a machine learning-based web service. J Univ Babylon Pure Appl Sci 1\u201332.","DOI":"10.29196\/jubpas.v30i1.4061"},{"issue":"3","key":"1957_CR58","doi-asserted-by":"publisher","first-page":"2227","DOI":"10.1007\/s11277-021-08563-4","volume":"120","author":"AKM Al-Qurabat","year":"2021","unstructured":"Al-Qurabat AKM, Mohammed ZA, Hussein ZJ (2021) Data traffic management based on compression and MDL techniques for smart agriculture in IoT. Wireless Pers Commun 120(3):2227\u20132258","journal-title":"Wireless Pers Commun"},{"key":"1957_CR59","doi-asserted-by":"crossref","unstructured":"Al-Qurabat AKM (2021) A lightweight Huffman-based differential encoding lossless compression technique in IoT for smart agriculture. Int J Computing Digital System.","DOI":"10.12785\/ijcds\/110109"},{"issue":"4","key":"1957_CR60","doi-asserted-by":"publisher","first-page":"0875","DOI":"10.21123\/bsj.2022.19.4.0875","volume":"19","author":"IDI Saeedi","year":"2022","unstructured":"Saeedi IDI, Al-Qurabat AKM (2022) Perceptually important points-based data aggregation method for wireless sensor networks. Baghdad Sci J 19(4):0875\u20130875","journal-title":"Baghdad Sci J"},{"key":"1957_CR61","doi-asserted-by":"crossref","unstructured":"Al-Qurabat AKM, & Abdulzahra SA (2020). An overview of periodic wireless sensor networks to the internet of things. In\u00a0IOP conference series: materials science and engineering\u00a0(Vol. 928, No. 3, p. 032055). IOP Publishing.","DOI":"10.1088\/1757-899X\/928\/3\/032055"},{"issue":"4","key":"1957_CR62","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1504\/IJCAT.2022.125182","volume":"68","author":"AKM Al-Qurabat","year":"2022","unstructured":"Al-Qurabat AKM, Salman HM, Finjan AAR (2022) Important extrema points extraction-based data aggregation approach for elongating the WSN lifetime. Int J Comput Appl Technol 68(4):357\u2013368","journal-title":"Int J Comput Appl Technol"},{"key":"1957_CR63","doi-asserted-by":"crossref","unstructured":"Saeedi IDI, & Al-Qurabat AKM (2022). An energy-saving data aggregation method for wireless sensor networks based on the extraction of extrema points. In\u00a0AIP conference proceedings\u00a0(Vol. 2398, No. 1). AIP Publishing.","DOI":"10.1063\/5.0093971"},{"key":"1957_CR64","doi-asserted-by":"crossref","unstructured":"Abdulzahra SA, & Al-Qurabat AKM (2024) Exploring radio frequency-based localization techniques: A comprehensive review. International Journal of Computing and Digital Systems, 16(1), 595\u2013609.Abdulzahra, S. A., & Al-Qurabat, A. K. M. (2024). FONIC: an energy-conscious fuzzy-based optimized nature-inspired clustering technique for IoT networks.\u00a0The Journal of Supercomputing, 1\u201353.","DOI":"10.1007\/s11227-024-06229-z"},{"key":"1957_CR65","doi-asserted-by":"crossref","unstructured":"Abdulzahra SA, & Al-Qurabat AKM (2024) FONIC: An energy-conscious fuzzy-based optimized nature-inspired clustering technique for IoT networks. J Supercomput 1\u201353.","DOI":"10.1007\/s11227-024-06229-z"},{"issue":"1","key":"1957_CR66","doi-asserted-by":"publisher","first-page":"797","DOI":"10.12785\/ijcds\/160158","volume":"16","author":"H Majid Lateef","year":"2024","unstructured":"Majid Lateef H, Al-Qurabat KM (2024) An Overview of Using Mobile Sink Strategies to Provide Sustainable Energy in Wireless Sensor Networks. Int J Computing Digital Systems 16(1):797\u2013812","journal-title":"Int J Computing Digital Systems"},{"key":"1957_CR67","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/tim.2023.3328071","volume":"72","author":"V Agarwal","year":"2023","unstructured":"Agarwal V et al (2023) Intelligent emergency evacuation system for industrial environments using IOT-enabled wsns. IEEE Trans Instrum Meas 72:1\u201312. https:\/\/doi.org\/10.1109\/tim.2023.3328071","journal-title":"IEEE Trans Instrum Meas"},{"issue":"4","key":"1957_CR68","doi-asserted-by":"publisher","first-page":"1632","DOI":"10.1109\/tgcn.2024.3394908","volume":"8","author":"V Agarwal","year":"2024","unstructured":"Agarwal V, Tapaswi S, Chanak P (2024) Energy efficient query processing mechanism for IOT-enabled wsns. IEEE Transactions on Green Communications and Networking 8(4):1632\u20131644. https:\/\/doi.org\/10.1109\/tgcn.2024.3394908","journal-title":"IEEE Transactions on Green Communications and Networking"},{"key":"1957_CR69","doi-asserted-by":"publisher","unstructured":"Mahamuni CV (2016) \u2018A military surveillance system based on wireless sensor networks with extended coverage life\u2019, 2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC), pp. 375\u2013381. https:\/\/doi.org\/10.1109\/icgtspicc.2016.7955331.","DOI":"10.1109\/icgtspicc.2016.7955331"},{"issue":"2","key":"1957_CR70","doi-asserted-by":"publisher","first-page":"592","DOI":"10.1109\/jiot.2017.2720855","volume":"5","author":"F Montori","year":"2018","unstructured":"Montori F, Bedogni L, Bononi L (2018) A collaborative internet of things architecture for smart cities and environmental monitoring. IEEE Internet Things J 5(2):592\u2013605. https:\/\/doi.org\/10.1109\/jiot.2017.2720855","journal-title":"IEEE Internet Things J"},{"key":"1957_CR71","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2022\/8783380","volume":"2022","author":"A Nazari","year":"2022","unstructured":"Nazari A et al (2022) An intelligent SDN-based clustering approach for optimizing IOT power consumption in smart homes. Wirel Commun Mob Comput 2022:1\u201325. https:\/\/doi.org\/10.1155\/2022\/8783380","journal-title":"Wirel Commun Mob Comput"},{"issue":"7","key":"1957_CR72","doi-asserted-by":"publisher","first-page":"3239","DOI":"10.1007\/s11276-023-03367-9","volume":"29","author":"A Nazari","year":"2023","unstructured":"Nazari A, Kordabadi M et al (2023) EQRSRL: An energy-aware and QoS-based routing schema using reinforcement learning in IOMT. Wireless Netw 29(7):3239\u20133253. https:\/\/doi.org\/10.1007\/s11276-023-03367-9","journal-title":"Wireless Netw"},{"issue":"3","key":"1957_CR73","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1504\/ijsnet.2023.132543","volume":"42","author":"A Nazari","year":"2023","unstructured":"Nazari A, Mohammadi R et al (2023) The fuzzy-IAVOA energy-aware routing algorithm for SDN-based IOT Networks. Int J Sensor Networks 42(3):156\u2013169. https:\/\/doi.org\/10.1504\/ijsnet.2023.132543","journal-title":"Int J Sensor Networks"},{"issue":"4","key":"1957_CR74","doi-asserted-by":"publisher","first-page":"2093","DOI":"10.1109\/tgcn.2023.3296272","volume":"7","author":"R Samadi","year":"2023","unstructured":"Samadi R, Nazari A, Seitz J (2023) Intelligent energy-aware routing protocol in Mobile IOT networks based on SDN. IEEE Transactions on Green Communications and Networking 7(4):2093\u20132103. https:\/\/doi.org\/10.1109\/tgcn.2023.3296272","journal-title":"IEEE Transactions on Green Communications and Networking"},{"key":"1957_CR75","doi-asserted-by":"publisher","unstructured":"Teng F, Xu G, Liu J, & Tang X (2024) Wavelet-based adaptive multimode data compression algorithm. Proceedings of SPIE https:\/\/doi.org\/10.1117\/12.3033374","DOI":"10.1117\/12.3033374"}],"container-title":["Peer-to-Peer Networking and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12083-025-01957-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12083-025-01957-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12083-025-01957-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,10]],"date-time":"2025-05-10T02:32:36Z","timestamp":1746844356000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12083-025-01957-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,31]]},"references-count":75,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,5]]}},"alternative-id":["1957"],"URL":"https:\/\/doi.org\/10.1007\/s12083-025-01957-2","relation":{},"ISSN":["1936-6442","1936-6450"],"issn-type":[{"value":"1936-6442","type":"print"},{"value":"1936-6450","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,31]]},"assertion":[{"value":"26 October 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 March 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 March 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Authors provide the ethical approval for the given manuscript.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"All the authors gave permission for consent to publish.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to publish"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}}],"article-number":"136"}}