Publication Type : Journal Article
Thematic Areas : Wireless Network and Application
Publisher : Advances in Intelligent Systems and Computing, Springer Verlag.
Source : Advances in Intelligent Systems and Computing, Springer Verlag, Volume 394, p.135-149 (2016)
Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84959128031&partnerID=40&md5=2f306e30782bad24f7b9ceefbd2d9678
Keywords : Artificial intelligence, Connectivity, Coverage, Coverage degree, Intrusion detection, Landforms, Localization, Medium access control, Mercury (metal), Military communications, Network protocols, Sensing ranges, Sonar, Submarines, Underwater acoustics, Wireless sensor networks
Campus : Amritapuri
School : Centre for Cybersecurity Systems and Networks
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Wireless Networks and Applications (AWNA), Center for Computational Engineering and Networking (CEN)
Year : 2016
Abstract : The coastline of India extends up to nearly 12 Nautical miles which increase the possibility of intruders into the coastline of country (Barr et al. Barrier coverage for underwater sensor networks. IEEE Military communications conference. MILCOM; 2008. p. 1–7) . This work looks into the intrusion of the other submarine to coastline of the country. Most of the existing submarine intrusion detection systems use sonar-based technologies. As submarine hulls can absorb the sonar waves, it can effectively hide from the detection system (Heidemann et al. Research challenges and applications for underwater sensor networking. IEEE Wireless Commun Netw Conf (WCNC). 2006;1:228–35) . The proposed submarine detection system described in this paper helps to avoid this issue. The proposed system uses a wireless sensor network which provides an effective submarine detection and localization. In this work, a new MAC protocol and Routing Protocol is proposed for efficient working of the system.
Cite this Research Publication : A. Arunan and Arya Devi R. D., “Design of wireless sensor network for submarine detection”, Advances in Intelligent Systems and Computing, vol. 394, pp. 135-149, 2016.