文章基本信息

标题：Intelligent UAV-Assisted Localisation to Conserve Battery Energy in Military Sensor Networks
本地全文：下载
作者：P.Shunmuga Perumal ; V. Rhymend Uthariaraj ; V.R. Elgin Christo 等
期刊名称：Defence Science Journal
印刷版ISSN：0976-464X
出版年度：2014
卷号：64
期号：6
页码：557-563
DOI：10.14429/dsj.64.5295
语种：English
出版社：Defence Scientific Information & Documentation Centre
摘要：Wireless sensor networks (WSNs) are extensively used in military applications for border area monitoring, battle-field surveillance, tracking enemy troops, where the sensor nodes run on battery power. Localisation of sensor nodes is extremely important to identify the location of event in military applications for further actions. Existing localisation algorithms consume more energy by heavy computation and communication overheads. The objective of the proposed research is to increase the lifetime of the military sensor networks by reducing the power consumption in each sensor node during localisation. For the state-of-the-art, we propose a novel intelligent unmanned aerial vehicle anchor node (IUAN) with an intelligent arc selection (IAS)-based centralised localisation algorithm, which removes computation cost and reduces communication cost at every sensor node. The IUAN collects the signal strength, distance data from sensor nodes and the central control station (CCS) computes the position of sensor nodes using IAS algorithm. Our approach significantly removes computation cost and reduces communication cost at each sensor node during localisation, thereby radically extends the lifetime and localisation coverage of the military sensor networks. Science Journal, Vol. 64, No. 6, November 2014, pp.557-563, DOI:http://dx.doi.org/10.14429/dsj.64.5295
关键词：Military wireless sensor networks, localisation, localisation-computation cost, localisation-communication cost, localisation-coverage, WSN