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Energy‐efficient target detection in sensor networks using line proxies
Author(s) -
Lee Jangwon,
Yu Wei,
Fu Xinwen
Publication year - 2008
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.889
Subject(s) - rendezvous , computer science , flooding (psychology) , wireless sensor network , sink (geography) , real time computing , efficient energy use , energy consumption , distributed computing , computer network , psychology , ecology , cartography , electrical engineering , geography , engineering , spacecraft , biology , aerospace engineering , psychotherapist
One of the fundamental and important operations in sensor networks is sink–source matching, i.e. target detection . Target detection is about how a sink finds the location of source nodes observing the event of interest (i.e. target activity). This operation is very important in many sensor network applications such as military battlefield and environment habitats. The mobility of both targets and sinks brings significant challenge to target detection in sensor networks. Most existing approaches are either energy inefficient or lack of fault tolerance in the environment of mobile targets and mobile sinks. Motivated by these, we propose an energy‐efficient line proxy target detection (LPTD) approach in this paper.The basic idea of LPTD is to use designated line proxies as rendezvous points (or agents) to coordinate mobile sinks and mobile targets. Instead of having rendezvous nodes for each target type as used by most existing approaches, we adopt the temporal‐based hash function to determine the line in the given time. Then the lines are alternated over time in the entire sensor network. This simple temporal‐based line rotation idea allows all sensor nodes in the network to serve as rendezvous points and achieves overall load balancing. Furthermore, instead of network‐wide flooding, interests from sinks will be flooded only to designated line proxies within limited area. The interest flooding can further decrease if the interest has geographical constraints. We have conducted extensive analysis and simulations to evaluate the performance of our proposed approach. Our results show that the proposed approach can significantly reduce overall energy consumption and target detection delay. Copyright © 2007 John Wiley & Sons, Ltd.