{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T15:05:01Z","timestamp":1767625501109,"version":"build-2065373602"},"reference-count":22,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2019,4,15]],"date-time":"2019-04-15T00:00:00Z","timestamp":1555286400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51579143","51709167","61701299"],"award-info":[{"award-number":["51579143","51709167","61701299"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Major Special Science and Technology Project of Hainan Province","award":["ZDKJ2017012"],"award-info":[{"award-number":["ZDKJ2017012"]}]},{"name":"Graduate Innovation Foundation of Shanghai Maritime University","award":["2016ycx042","2017ycx030"],"award-info":[{"award-number":["2016ycx042","2017ycx030"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Wireless Sensor Networks (WSNs) have been extensively applied in ecological environment monitoring. Typically, event boundary detection is an effective method to determine the scope of an event area in large-scale environment monitoring. This paper proposes a novel lightweight Entropy based Event Boundary Detection algorithm (EEBD) in WSNs. We first develop a statistic model using information entropy to figure out the probability that a sensor is a boundary sensor. The EEBD is independently executed on each wireless sensor in order to judge whether it is a boundary sensor node, by comparing the values of entropy against the threshold which depends on the boundary width. Simulation results demonstrate that the EEBD is computable and offers valuable detection accuracy of boundary nodes with both low and high network node density. This study also includes experiments that verify the EEBD which is applicable in a real ocean environmental monitoring scenario using WSNs.<\/jats:p>","DOI":"10.3390\/sym11040537","type":"journal-article","created":{"date-parts":[[2019,4,15]],"date-time":"2019-04-15T11:15:58Z","timestamp":1555326958000},"page":"537","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["An Information Entropy Based Event Boundary Detection Algorithm in Wireless Sensor Networks"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3150-3407","authenticated-orcid":false,"given":"Huafeng","family":"Wu","sequence":"first","affiliation":[{"name":"Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China"}]},{"given":"Qingshun","family":"Meng","sequence":"additional","affiliation":[{"name":"Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China"}]},{"given":"Jiangfeng","family":"Xian","sequence":"additional","affiliation":[{"name":"Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1831-4329","authenticated-orcid":false,"given":"Xiaojun","family":"Mei","sequence":"additional","affiliation":[{"name":"Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5586-1997","authenticated-orcid":false,"given":"Christophe","family":"Claramunt","sequence":"additional","affiliation":[{"name":"Naval Academy Research Institute, Lanveoc-Poulmic, BP 600, 29240 Brest Naval, France"}]},{"given":"Junkuo","family":"Cao","sequence":"additional","affiliation":[{"name":"Network and Data Center, Hainan Normal University, Haikou 571158, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"622","DOI":"10.1109\/ACCESS.2015.2435000","article-title":"Recent Advances in Industrial Wireless Sensor Networks Toward Efficient Management in IoT","volume":"3","author":"Sheng","year":"2015","journal-title":"IEEE Access"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1109\/JSYST.2016.2644109","article-title":"A WSN for Monitoring and Event Reporting in Underground Mine Environments","volume":"12","author":"Minhas","year":"2018","journal-title":"IEEE Syst. J."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3932","DOI":"10.1109\/TCOMM.2016.2593467","article-title":"Distributed Detection of Dynamic Event Regions in Sensor Networks with a Gibbs Field Distribution and Gaussian Corrupted Measurements","volume":"64","author":"Wang","year":"2016","journal-title":"IEEE Trans. Commun."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1630","DOI":"10.1016\/j.comnet.2010.01.009","article-title":"Heuristic algorithm for finding boundary cycles in location-free low density wireless sensor networks","volume":"54","author":"Sitanayah","year":"2010","journal-title":"Comput. Netw."},{"key":"ref_5","unstructured":"Abani, N., Braun, T., and Gerla, M. (, January 26\u201328). Proactive caching with mobility prediction under uncertainty in information-centric networks. Proceedings of the 4th ACM Conference on Information-Centric Networking, Berlin, Germany."},{"key":"ref_6","unstructured":"Kundu, S., and Das, N. (2012, January 3\u20137). In-network area estimation and localization in Wireless Sensor Networks. Proceedings of the GC\u201912 Workshop: The 7th IEEE International Workshop on Heterogeneous, Multi-Hop, Wireless and Mobile Networks, Anaheim, CA, USA."},{"key":"ref_7","unstructured":"Li, X., He, S., Chen, J., Liang, X., Lu, R., and Shen, S. (2011, January 5\u20139). Coordinate-free distributed algorithm for boundary detection in wireless sensor networks. Proceedings of the Global Telecommunications Conference (GLOBECOM 2011), Houston, TX, USA."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1417","DOI":"10.1093\/comjnl\/bxs052","article-title":"Decentralized Detection of Topological Events in Evolving Spatial Regions","volume":"56","author":"Sadeq","year":"2013","journal-title":"Comput. J."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Ding, M., and Cheng, X. (2009, January 19\u201325). Robust event boundary detection in sensor networks\u2014A mixture model based approach. Proceedings of the IEEE INFOCOM 2009, Rio de Janeiro, Brazil.","DOI":"10.1109\/INFCOM.2009.5062273"},{"key":"ref_10","unstructured":"Liao, P., Chang, M., and Kuo, C. (December, January 29). Distributed edge detection with composite hypothesis test in wireless sensor networks. Proceedings of the IEEE Global Telecommunications Conference, 2004, GLOBECOM \u201904, Dallas, TX, USA."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Kundu, S., Das, N., Roy, S., and Saha, D. (2018). Irregular-Shaped Event Boundary Estimation in Wireless Sensor Networks. Progress in Intelligent Computing Techniques: Theory, Practice and Applications, Springer.","DOI":"10.1007\/978-981-10-3376-6_46"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"361","DOI":"10.3390\/s17020361","article-title":"A Continuous Object Boundary Detection and Tracking Scheme for Failure-Prone Sensor Networks","volume":"17","author":"Sajida","year":"2017","journal-title":"Sensors"},{"key":"ref_13","first-page":"286","article-title":"Distributed Fault-Tolerant Event Region Detection of Wireless Sensor Networks","volume":"5","author":"Duh","year":"2013","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1109\/TWC.2008.060550","article-title":"Secure and fault-tolerant event boundary detection in wireless sensor networks","volume":"7","author":"Ren","year":"2008","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"3200","DOI":"10.1109\/TSP.2006.877659","article-title":"Distributed Estimation and Detection for Sensor Networks Using Hidden Markov Random Field Models","volume":"54","author":"Dogandzic","year":"2006","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.comnet.2014.05.005","article-title":"Location-free boundary detection in mobile wireless sensor networks with a distributed approach","volume":"70","author":"Chu","year":"2014","journal-title":"Comput. Netw."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.jpdc.2017.06.002","article-title":"Efficient disjoint boundary detection algorithm for surveillance capable WSNs","volume":"109","author":"Shukla","year":"2017","journal-title":"J. Parallel Distrib. Comput."},{"key":"ref_18","unstructured":"Ding, M., Chen, D., Xing, K., and Cheng, X. (2005, January 13\u201317). Localized fault-tolerant event boundary detection in sensor networks. Proceedings of the IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2005), Miami, FL, USA."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1267","DOI":"10.1109\/TPDS.2013.137","article-title":"Localized Movement-Assisted Sensor Deployment Algorithm for HoleDetection and Healing","volume":"25","author":"Senouci","year":"2014","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Ouyang, W., Liu, Y.T., Lin, Y.W., and Chen, Y.H. (2012, January 4\u20137). Entropy-Based Distributed Fault-Tolerant Event Boundary Detection Algorithm for Wireless Sensor Networks. Proceedings of the IEEE International Conference on Ubiquitous Intelligence & Computing and, International Conference on Autonomic & Trusted Computing, Fukuoka, Japan.","DOI":"10.1109\/UIC-ATC.2012.144"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.1007\/s11276-013-0661-2","article-title":"The random waypoint mobility model with uniform node spatial distribution","volume":"20","author":"Mitsche","year":"2014","journal-title":"Wirel. Netw."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.comcom.2018.09.007","article-title":"Missing data recovery using reconstruction in ocean wireless sensor networks","volume":"132","author":"Wu","year":"2018","journal-title":"Comput. 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