{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T19:22:11Z","timestamp":1740165731825,"version":"3.37.3"},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2017,5,15]],"date-time":"2017-05-15T00:00:00Z","timestamp":1494806400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2017,5,15]],"date-time":"2017-05-15T00:00:00Z","timestamp":1494806400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Siksha 'O' Anusandhan University"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Hum. Cent. Comput. Inf. Sci."],"published-print":{"date-parts":[[2017,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>It is a challenging task for all Harbors or Naval Administration to restrict and monitor the movement of defense or commercial ships. Most commonly used techniques of monitoring are radars and satellite images. These techniques are not reliable as radars can be turned off voluntarily and receptions of images are affected by adverse climatic conditions. This paper proposes a reliable ship intruder detection algorithm that classifies different types of objects approaching the model system in and out of phase with the ocean waves. The proposed technique also takes care of superimposition of temporal and spatial values of nodes that are presumably deployed in the sea surface up to a certain distance. Simulation results prove that the proposed algorithm detects and classifies objects efficiently even when 50% of the nodes reporting the tracking phenomenon are tampered.<\/jats:p>","DOI":"10.1186\/s13673-017-0095-4","type":"journal-article","created":{"date-parts":[[2017,3,29]],"date-time":"2017-03-29T09:57:57Z","timestamp":1490781477000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Tracking intruder ship in wireless environment"],"prefix":"10.1186","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1976-0627","authenticated-orcid":false,"given":"Madhuri","family":"Rao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Narendra Kumar","family":"Kamila","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,5,15]]},"reference":[{"issue":"12","key":"95_CR1","doi-asserted-by":"publisher","first-page":"656","DOI":"10.1109\/TWC.2012.111412.112124","volume":"12","author":"RR Rout","year":"2013","unstructured":"Rout RR, Ghosh SK (2013) Enhancement of lifetime using duty cycle network coding in wireless sensor network. IEEE Trans Wirel Commun 12(12):656\u2013667. doi:10.1109\/TWC.2012.111412.112124","journal-title":"IEEE Trans Wirel Commun"},{"key":"95_CR2","doi-asserted-by":"publisher","unstructured":"Park T, Shi H (2015) Extending the lifetime of barrier coverage by adding sensors to a bottleneck region. 12th annual IEEE consumer communications and networking conference (CCNC), Las Vegas, pp 537\u2013542. doi:10.1109\/CCNC.2015.7158031","DOI":"10.1109\/CCNC.2015.7158031"},{"issue":"4","key":"95_CR3","doi-asserted-by":"publisher","first-page":"121","DOI":"10.4236\/wsn.2011.34014","volume":"3","author":"F Mohsin","year":"2011","unstructured":"Mohsin F (2011) Classification of Object Tracking Techniques in Wireless Sensor Networks. Wirel Sens Netw 3(4):121\u2013124. doi:10.4236\/wsn.2011.34014","journal-title":"Wirel Sens Netw"},{"key":"95_CR4","doi-asserted-by":"publisher","unstructured":"Wu S, Yawen F, Zheng S, Yang H (2012) Object tracking based on ORB and temporal-spatial constraint. IEEE 5th international conference on advanced computational intelligence, Nanjing, pp 597\u2013600. doi:10.1109\/ICAI.2012.6463235","DOI":"10.1109\/ICAI.2012.6463235"},{"key":"95_CR5","doi-asserted-by":"publisher","unstructured":"Kdouh H, Zaharia G, Brousseau C, Grunfelder G, Farhat H, Zein GE (2012) Wireless sensor network on board vessels. IEEE 19th international conference on telecommunications, Lebanon, pp 1\u20136. doi:10.1109\/ICTEL.2012.6221242","DOI":"10.1109\/ICTEL.2012.6221242"},{"key":"95_CR6","doi-asserted-by":"publisher","unstructured":"Thattil V, Vasantha N (2011) Energy efficient approach to intruder detection in militarily sensitive border using wireless sensor networks. IEEE 3rd international conference on electronics computer technology, (ICECT), Kanyakumari, pp 42\u201346. doi:10.1109\/ICETECH.2011.5941853","DOI":"10.1109\/ICETECH.2011.5941853"},{"issue":"7","key":"95_CR7","doi-asserted-by":"publisher","first-page":"1336","DOI":"10.1109\/TPDS.2011.274","volume":"23","author":"H Luo","year":"2012","unstructured":"Luo H, Wu K, Guo L, Gu L, Lionel M Ni (2012) Ship detection with wireless sensor networks. IEEE Trans Parallel Distrib Syst 23(7):1336\u20131343. doi:10.1109\/TPDS.2011.274","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"95_CR8","doi-asserted-by":"publisher","unstructured":"Li Y, Parker LE (2008) Intruder detection using a wireless sensor network with an intelligent mobile robot response. IEEE Southeast Con 08 Huntsville, pp 37\u201342. doi:10.1109\/SECON.2008.4494250","DOI":"10.1109\/SECON.2008.4494250"},{"issue":"2016","key":"95_CR9","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.actaastro.2016.07.001","volume":"128","author":"DM Graziano","year":"2016","unstructured":"Graziano DM, D\u2019Errico M, Rufino G (2016) Ship heading and velocity analysis by wake detection in SAR images. Acta Astronaut 128(2016):72\u201382. doi:10.1016\/j.actaastro.201607001","journal-title":"Acta Astronaut"},{"key":"95_CR10","doi-asserted-by":"publisher","unstructured":"Zhai L, Li Y, Su Y (2016) A novel ship detection algorithm based on anomaly detection theory of SAR images, progress in electromagnetic research symposium (PIERS), Shanghai. doi:10.1109\/PIERS.2016.7735144","DOI":"10.1109\/PIERS.2016.7735144"},{"issue":"4","key":"95_CR11","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1080\/09636412.2012.734234","volume":"21","author":"JV Hastings","year":"2012","unstructured":"Hastings JV (2012) Understanding maritime piracy syndicate operations. J Secur Stud 21(4):683\u2013721. doi:10.1080\/09636412.2012.734234","journal-title":"J Secur Stud"},{"key":"95_CR12","doi-asserted-by":"crossref","unstructured":"Rao M, Kamila NK, Kumar VK (2016) Underwater wireless sensor network for tracking ships approaching harbor. Proceedings of IEEE international conference on signal processing, communication, power & embedded system, pp 467\u2013471. ISBN: CFP16H12-PRT\/978-1-5090-4619-5","DOI":"10.1109\/SCOPES.2016.7955771"},{"key":"95_CR13","doi-asserted-by":"publisher","unstructured":"Yu T, Akhtar AM, Wang X, Shami A (2015) Temporal and spatial correlation based distributed fault detection in wireless sensor networks. Proceedings of the IEEE 28th Canadian conference on electrical and computer engineering, pp 1351\u20131355. doi:10.1109\/CCECE.2015.7129475","DOI":"10.1109\/CCECE.2015.7129475"},{"issue":"3","key":"95_CR14","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1017\/S0022112060000700","volume":"8","author":"F Ursell","year":"2006","unstructured":"Ursell F (2006) On Kelvin\u2019s ship-wave pattern. J Fluid Mech 8(3):418\u2013431. doi:10.1017\/S0022112060000700","journal-title":"J Fluid Mech"},{"issue":"10","key":"95_CR15","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1061\/(ASCE)0733-9399(2003)129:10(1138)","volume":"129","author":"AT Chwang","year":"2003","unstructured":"Chwang AT, Chen Y (2003) Filed measurement of ship waves in Victoria Harbor. J Eng Mech 129(10):1138\u20131148","journal-title":"J Eng Mech"},{"key":"95_CR16","doi-asserted-by":"publisher","unstructured":"Ogawa Y, Shimada N, Shirai Y, Kurumi Y, Komori M (2015) Temporal-spatial of knot-tying procedures using RGB-D sensor for training of surgical operation. 14th IEEE international conference on machine vision applications, Tokyo, pp. 263\u2013266. doi:10.1109\/MVA.2015.7153181","DOI":"10.1109\/MVA.2015.7153181"},{"key":"95_CR17","doi-asserted-by":"publisher","unstructured":"He J, Xu Z, Chen Y, Pan Z, Chih-Lin I (2014) Work in progress paper: network deployment and operation based on spatial and temporal traffic model. 9th international conference on communications and networking in China (CHINACOM), Maoming, pp 144\u2013147. doi:10.1109\/CHINACOM.2014.7054275","DOI":"10.1109\/CHINACOM.2014.7054275"},{"key":"95_CR18","doi-asserted-by":"publisher","unstructured":"Yu F, Zhijie S (2015) Methods of real-time data screening and reconstruction for dynamic traffic abnormal data. 6th international conference on intelligent system design and engineering applications, pp 500\u2013503. doi: 10.1109\/ISDEA.2015.130","DOI":"10.1109\/ISDEA.2015.130"},{"key":"95_CR19","doi-asserted-by":"publisher","first-page":"4408","DOI":"10.1109\/ACCESS.2016.2592184","volume":"4","author":"C Han","year":"2016","unstructured":"Han C, Sun L, Xiao F (2016) An energy efficiency node scheduling model for spatial-temporal coverage optimization in 3D directional sensor network. IEEE Access 4:4408\u20134419. doi:10.1109\/ACCESS.2016.2592184","journal-title":"IEEE Access"},{"key":"95_CR20","doi-asserted-by":"publisher","unstructured":"Kaswn A, Nitesh K, Jana PK (2016) A routing load balanced trajectory design for mobile sink in wireless sensor networks. IEEE international conference on advances in computing, communications and informatics, pp 1669\u20131673. doi:10.1109\/ICACCI.2016.7732287","DOI":"10.1109\/ICACCI.2016.7732287"},{"key":"95_CR21","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.jnca.2015.05.002","volume":"59","author":"Y Wang","year":"2015","unstructured":"Wang Y, Chen H, Wu X (2015) An energy- efficient SDN based sleep scheduling algorithm for WSNs. J Netw Comput Appl 59:39\u201345. doi:10.1016\/j.jnca.2015.05.002","journal-title":"J Netw Comput Appl"},{"key":"95_CR22","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1016\/j.physa.2015.09.105","volume":"446","author":"B Ran","year":"2016","unstructured":"Ran B, Tan H, Wu Y, Jin JP (2016) Tensor based missing traffic data completion with spatial-temporal correlation. Stat Mech Appl 446:54\u201363","journal-title":"Stat Mech Appl"},{"issue":"126","key":"95_CR23","doi-asserted-by":"publisher","first-page":"2793","DOI":"10.1016\/j.ijleo.2015.07.026","volume":"126","author":"Q Zhang","year":"2015","unstructured":"Zhang Q, Zhao J, Huang X, Gan Y (2015) A fast and efficient coding unit size decision algorithm based on temporal and spatial correlation. Opt Int J Light Electron Opt 126(126):2793\u20132798","journal-title":"Opt Int J Light Electron Opt"}],"container-title":["Human-centric Computing and Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13673-017-0095-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s13673-017-0095-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13673-017-0095-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,30]],"date-time":"2021-07-30T08:04:41Z","timestamp":1627632281000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1186\/s13673-017-0095-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,15]]},"references-count":23,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["95"],"URL":"https:\/\/doi.org\/10.1186\/s13673-017-0095-4","relation":{},"ISSN":["2192-1962"],"issn-type":[{"type":"electronic","value":"2192-1962"}],"subject":[],"published":{"date-parts":[[2017,5,15]]},"assertion":[{"value":"17 September 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 March 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 May 2017","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"14"}}