{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T21:48:49Z","timestamp":1778708929015,"version":"3.51.4"},"reference-count":30,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2017,5,4]],"date-time":"2017-05-04T00:00:00Z","timestamp":1493856000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation","award":["61501120"],"award-info":[{"award-number":["61501120"]}]},{"DOI":"10.13039\/501100003392","name":"Fujian Provincial Natural Science Foundation","doi-asserted-by":"publisher","award":["2016J01096"],"award-info":[{"award-number":["2016J01096"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Target detection is a widely used application for area surveillance, elder care, and fire alarms; its purpose is to find a particular object or event in a region of interest. Usually, fixed observing stations or static sensor nodes are arranged uniformly in the field. However, each part of the field has a different probability of being intruded upon; if an object suddenly enters an area with few guardian devices, a loss of detection will occur, and the stations in the safe areas will waste their energy for a long time without any discovery. Thus, mobile wireless sensor networks may benefit from adaptation and pertinence in detection. Sensor nodes equipped with wheels are able to move towards the risk area via an adaptive learning procedure based on Bayesian networks. Furthermore, a clustering algorithm based on k-means++ and an energy control mechanism is used to reduce the energy consumption of nodes. The extended Kalman filter and a voting data fusion method are employed to raise the localization accuracy of the target. The simulation and experimental results indicate that this new system with adaptive energy-efficient methods is able to achieve better performance than the traditional ones.<\/jats:p>","DOI":"10.3390\/s17051028","type":"journal-article","created":{"date-parts":[[2017,5,4]],"date-time":"2017-05-04T11:44:18Z","timestamp":1493898258000},"page":"1028","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Adaptive Energy-Efficient Target Detection Based on Mobile Wireless Sensor Networks"],"prefix":"10.3390","volume":"17","author":[{"given":"Tengyue","family":"Zou","sequence":"first","affiliation":[{"name":"College of Mechanical and Electronic Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China"}]},{"given":"Zhenjia","family":"Li","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electronic Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China"}]},{"given":"Shuyuan","family":"Li","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electronic Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China"}]},{"given":"Shouying","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electronic Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China"}]}],"member":"1968","published-online":{"date-parts":[[2017,5,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2964","DOI":"10.3390\/s150202964","article-title":"A data fusion method in wireless sensor networks","volume":"15","author":"Izadi","year":"2015","journal-title":"Sensors"},{"key":"ref_2","first-page":"229","article-title":"False Data Report Filtering Scheme in Wireless Sensor Networks: A Survey","volume":"17","author":"Feng","year":"2015","journal-title":"Int. J. Netw. Secur."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.csi.2015.02.010","article-title":"A smart home management system with hierarchical behavior suggestion and recovery mechanism","volume":"41","author":"Shen","year":"2015","journal-title":"Comput. Stand. Interfaces"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1109\/TPDS.2013.292","article-title":"Latency of collaborative target detection for surveillance sensor networks","volume":"26","author":"Chin","year":"2015","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"ref_5","first-page":"169","article-title":"Forest Fire Modeling and Early Detection using Wireless Sensor Networks","volume":"7","author":"Hefeeda","year":"2009","journal-title":"Ad Hoc Sens. Wirel. Netw."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2397","DOI":"10.3390\/s140202397","article-title":"A mobility enabled inpatient monitoring system using a ZigBee medical sensor network","volume":"14","author":"Tung","year":"2014","journal-title":"Sensors"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"864","DOI":"10.1109\/TIM.2013.2283546","article-title":"Flexible indoor localization and tracking based on a wearable platform and sensor data fusion","volume":"63","author":"Colombo","year":"2014","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_8","first-page":"712","article-title":"A Safety Review on Fuzzy-based Relay Selection in Wireless Sensor Networks","volume":"17","author":"Feng","year":"2015","journal-title":"Int. J. Netw. Secur."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Zou, T., Lin, S., Feng, Q., and Chen, Y. (2016). Energy-Efficient Control with Harvesting Predictions for Solar-Powered Wireless Sensor Networks. Sensors, 16.","DOI":"10.3390\/s16010053"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.comcom.2014.01.007","article-title":"2D k-barrier duty-cycle scheduling for intruder detection in wireless sensor networks","volume":"43","author":"Tian","year":"2014","journal-title":"Comput. Commun."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.comcom.2014.05.011","article-title":"Rule-based multiple-target tracking in acoustic wireless sensor networks","volume":"51","author":"An","year":"2014","journal-title":"Comput. Commun."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"605","DOI":"10.1016\/j.comnet.2004.06.007","article-title":"A line in the sand: A wireless sensor network for target detection, classification, and tracking","volume":"46","author":"Arora","year":"2004","journal-title":"Comput. Netw."},{"key":"ref_13","unstructured":"Sikka, P., Corke, P., and Overs, L. (2004, January 16\u201318). Wireless sensor devices for animal tracking and control. Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks, Denver, CO, USA."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Howard, A., Matari\u0107, M.J., and Sukhatme, G.S. (2002). Mobile Sensor Network Deployment Using Potential Fields: A Distributed, Scalable Solution to the Area Coverage Problem, Springer. Distributed Autonomous Robotic Systems 5.","DOI":"10.1007\/978-4-431-65941-9_30"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Batalin, M.A., and Sukhatme, G.S. (2005). Sensor network-mediated multi-robot task allocation. Multi-Robot Systems. From Swarms to Intelligent Automata Volume III, Springer.","DOI":"10.1109\/ROBOT.2004.1307145"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Qi, X., Wei, P., Liu, L., Xie, M., and Cai, G. (2014). Wireless sensor networks energy effectively distributed target detection. Int. J. Distrib. Sens. Netw., 2014.","DOI":"10.1155\/2014\/763918"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1427","DOI":"10.1007\/s00500-014-1352-3","article-title":"An endocrine-based intelligent distributed cooperative algorithm for target tracking in wireless sensor networks","volume":"19","author":"Jin","year":"2015","journal-title":"Soft Comput."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Gangwar, P.K., Singh, Y., and Mohindru, V. (2014, January 9\u201311). An energy efficient zone-based clustering approach for target detection in wireless sensor networks. Proceedings of the IEEE Recent Advances and Innovations in Engineering (ICRAIE), Jaipur, India.","DOI":"10.1109\/ICRAIE.2014.6909135"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"7250","DOI":"10.3390\/s130607250","article-title":"An integral model for target tracking based on the Use of a WSN","volume":"13","author":"Calafate","year":"2013","journal-title":"Sensors"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1016\/j.compeleceng.2013.07.005","article-title":"Automatic node selection and target tracking in wireless camera sensor networks","volume":"40","author":"Wang","year":"2014","journal-title":"Comput. Electr. Eng."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1007\/s12652-016-0380-5","article-title":"Continuous objects detection and tracking in wireless sensor networks","volume":"7","author":"Sheltami","year":"2016","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.eswa.2016.05.005","article-title":"A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study","volume":"60","author":"Yet","year":"2016","journal-title":"Expert Syst. Appl."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.ssci.2016.03.019","article-title":"Expert elicitation and Bayesian Network modeling for shipping accidents: A literature review","volume":"87","author":"Zhang","year":"2016","journal-title":"Saf. Sci."},{"key":"ref_24","first-page":"754","article-title":"Two density-based k-means initialization algorithms for non-metric data clustering","volume":"19","author":"Bianchi","year":"2015","journal-title":"Pattern Anal. Appl."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","article-title":"Least squares quantization in PCM","volume":"28","author":"Lloyd","year":"1982","journal-title":"IEEE Trans. Inf. Theory"},{"key":"ref_26","unstructured":"Arthur, D., and Vassilvitskii, S. (2007, January 7\u20139). k-means++: The advantages of careful seeding. Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, Society for Industrial and Applied Mathematics, New Orleans, LA, USA."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.is.2016.02.007","article-title":"Single-pass and linear-time k-means clustering based on MapReduce","volume":"60","author":"Shahrivari","year":"2016","journal-title":"Inf. Syst."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/j.jpowsour.2013.06.108","article-title":"A novel on-board state-of-charge estimation method for aged Li-ion batteries based on model adaptive extended Kalman filter","volume":"245","author":"Sepasi","year":"2014","journal-title":"J. Power Sources"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2994","DOI":"10.1109\/TPWRS.2015.2388694","article-title":"Estimation of Electromechanical Oscillation Parameters Using an Extended Kalman Filter","volume":"30","author":"Yazdanian","year":"2015","journal-title":"IEEE Trans. Power Syst."},{"key":"ref_30","first-page":"2272","article-title":"Positioning Techniques in Indoor Environments Based on Stochastic Modeling of UWB Round-Trip-Time Measurements","volume":"17","author":"Moschitta","year":"2015","journal-title":"IEEE Trans. Intell. Transp. Syst."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/17\/5\/1028\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:34:38Z","timestamp":1760207678000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/17\/5\/1028"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,4]]},"references-count":30,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2017,5]]}},"alternative-id":["s17051028"],"URL":"https:\/\/doi.org\/10.3390\/s17051028","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,5,4]]}}}