{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T19:57:39Z","timestamp":1771703859847,"version":"3.50.1"},"reference-count":22,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2017,4,27]],"date-time":"2017-04-27T00:00:00Z","timestamp":1493251200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China under Grants","award":["61374021"],"award-info":[{"award-number":["61374021"]}]},{"name":"National Natural Science Foundation of China under Grants","award":["61531015"],"award-info":[{"award-number":["61531015"]}]},{"name":"National Natural Science Foundation of China under Grants","award":["U1609204"],"award-info":[{"award-number":["U1609204"]}]},{"name":"National Natural Science Foundation of China under Grants","award":["61673345"],"award-info":[{"award-number":["61673345"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>We study the problem of energy-efficient target tracking in underwater wireless sensor networks (UWSNs). Since sensors of UWSNs are battery-powered, it is impracticable to replace the batteries when exhausted. This means that the battery life affects the lifetime of the whole network. In order to extend the network lifetime, it is worth reducing the energy consumption on the premise of sufficient tracking accuracy. This paper proposes an energy-efficient filter that implements the tradeoff between communication cost and tracking accuracy. Under the distributed fusion framework, local sensors should not send their weak information to the fusion center if their measurement residuals are smaller than the pre-given threshold. In order to guarantee the target tracking accuracy, artificial measurements are generated to compensate for those unsent real measurements. Then, an adaptive scheme is derived to take full advantages of the artificial measurements-based filter in terms of energy-efficiency. Furthermore, a computationally efficient optimal sensor selection scheme is proposed to improve tracking accuracy on the premise of employing the same number of sensors. Simulation demonstrates that our scheme has superior advantages in the tradeoff between communication cost and tracking accuracy. It saves much energy while loosing little tracking accuracy or improves tracking performance with less additional energy cost.<\/jats:p>","DOI":"10.3390\/s17050971","type":"journal-article","created":{"date-parts":[[2017,4,27]],"date-time":"2017-04-27T13:01:15Z","timestamp":1493298075000},"page":"971","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["An Artificial Measurements-Based Adaptive Filter for Energy-Efficient Target Tracking via Underwater Wireless Sensor Networks"],"prefix":"10.3390","volume":"17","author":[{"given":"Huayan","family":"Chen","sequence":"first","affiliation":[{"name":"State Key Laboratory of Industrial Control Technology, Hangzhou 310027, China"},{"name":"College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Senlin","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0693-6574","authenticated-orcid":false,"given":"Meiqin","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Industrial Control Technology, Hangzhou 310027, China"},{"name":"College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qunfei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an 710072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,4,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"11782","DOI":"10.3390\/s130911782","article-title":"Underwater sensor nodes and networks","volume":"13","author":"Jaime","year":"2013","journal-title":"Sensors"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"704","DOI":"10.3390\/s120100704","article-title":"Underwater sensor networks: A new energy efficient and robust architecture","volume":"12","author":"Climent","year":"2012","journal-title":"Sensors"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1109\/MNET.2006.1637927","article-title":"The challenges of building scalable mobile underwater wireless sensor networks for aquatic applications","volume":"20","author":"Cui","year":"2006","journal-title":"IEEE Netw."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"795","DOI":"10.3390\/s140100795","article-title":"Underwater acoustic wireless sensor networks: advances and future trends in physical, MAC and routing layers","volume":"14","author":"Climent","year":"2014","journal-title":"Sensors"},{"key":"ref_5","first-page":"30","article-title":"Target Tracking for Sensor Networks: A Survey","volume":"49","author":"Souza","year":"2016","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2220","DOI":"10.1109\/COMST.2016.2544751","article-title":"A survey on mobile anchor node assisted localization in wireless sensor networks","volume":"18","author":"Han","year":"2016","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_7","first-page":"1485","article-title":"Study on distributed target tracking in wireless sensor networks","volume":"34","author":"Zhou","year":"2013","journal-title":"Chin. J. Sci. Instrum."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1109\/48.107149","article-title":"Performance limitations in underwater acoustic telemetry","volume":"15","author":"Catipovic","year":"1990","journal-title":"IEEE J. Ocean. Eng."},{"key":"ref_9","unstructured":"Bhardwaj, M., and Chandrakasan, A.P. (2002, January 23\u201327). Bounding the lifetime of sensor networks via optimal role assignments. Proceedings of the IEEE INFOCOM, New York, NY, USA."},{"key":"ref_10","unstructured":"Li, L., Lemmon, M., and Wang, X. (July, January 30). Event-triggered state estimation in vector linear processes. Proceedings of the American Control Conference, Baltimore, MD, USA."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1041","DOI":"10.1109\/TAC.2012.2215253","article-title":"Event-based sensor data scheduling: Trade-off between communication rate and estimation quality","volume":"58","author":"Wu","year":"2013","journal-title":"IEEE Trans. Autom. Control"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1016\/j.automatica.2015.02.019","article-title":"Data-driven power control for state estimation: A bayesian inference approach","volume":"54","author":"Wu","year":"2015","journal-title":"Automatica"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1275","DOI":"10.1109\/TAC.2014.2370472","article-title":"On set-valued Kalman filtering and its application to event-based state estimation","volume":"60","author":"Shi","year":"2015","journal-title":"IEEE Trans. Autom. Control"},{"key":"ref_14","unstructured":"Zhang, S., Chen, H., Liu, M., and Zhang, Q. (2016, January 5\u20138). Artificial measurements based filter for energy-efficient target tracking in underwater wireless sensor networks. Proceedings of the 2016 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Hong Kong, China."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"3897","DOI":"10.1109\/TVT.2011.2163538","article-title":"Three-dimensional underwater target tracking with acoustic sensor networks","volume":"60","author":"Isbitiiren","year":"2011","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"829451","DOI":"10.1155\/2012\/829451","article-title":"Combination of interacting multiple models with the particle filter for three-dimensional target tracking in underwater wireless sensor networks","volume":"2012","author":"Wang","year":"2012","journal-title":"Math. Probl. Eng."},{"key":"ref_17","unstructured":"Yu, C.H., Lee, J.C., Choi, J.W., Park, M.K., and Kang, D.J. (2012, January 17\u201321). Energy efficient distributed interacting multiple model filter in UWSNs. Proceedings of the International Conference on Control, Automation and Systems, JeJu Island, Korea."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Zhang, S., Chen, H., and Liu, M. (2014, January 3\u20135). Adaptive sensor scheduling for target tracking in underwater wireless sensor networks. Proceedings of the 2014 IEEE International Conference on Mechatronics and Control (ICMC), Jinzhou, China.","DOI":"10.1109\/ICMC.2014.7231516"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1109\/TCYB.2014.2371232","article-title":"Node Topology Effect on Target Tracking Based on UWSNs Using Quantized Measurements","volume":"45","author":"Zhang","year":"2015","journal-title":"IEEE Trans. Cybern."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1489","DOI":"10.1016\/S0005-1098(01)00074-7","article-title":"The optimality for the distributed Kalman filtering fusion with feedback","volume":"37","author":"Zhu","year":"2001","journal-title":"Automatica"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Liu, M., Zhang, S., and Chen, H. (2014, January 7\u201310). Node topology effect on target tracking based on underwater wireless sensor networks. Proceedings of the 2014 IEEE 17th International Conference on Information Fusion (FUSION), Salamanca, Spain.","DOI":"10.1109\/ICMC.2014.7231516"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1109\/18.75264","article-title":"Optimal bit allocation via the generalized bfos algorithm","volume":"37","author":"Riskin","year":"1991","journal-title":"IEEE Trans. Inf. 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