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Content Provider | IEEE Xplore Digital Library |
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Author | Jingjing Li Jiannong Cao Xuefeng Liu |
Copyright Year | 2011 |
Abstract | In most of the applications of wireless sensor networks(WSN), covering the area of interest and delivering the sensed information to the sink are two fundamental functions. Extensive research associated with these two issues, such as energy efficient coverage and delay-constraint routing, can be found in the literature. However, few works combine these two issues together. Considering the fact that wireless sensors can take the responsibility of both sensing and routing, it is expected that a solution jointly considering these two issues will provide more benefit. In this paper, we consider the problem: how to find a routing path in a WSN with the maximum sensing coverage provided by the nodes on the path subject to the delay constraint. We first proved that this problem is NP-hard and then proposed a distributed algorithm based on Monte-Carlo integration method and label setting(LS) algorithm. Analysis and simulation results show that under the same time delay constraint, the proposed algorithm can find a routing path with significantly larger sensing coverage (more than $87\%$ in our simulation) than that was obtained considering only hop constraint. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 282578 |
Page Count | 5 |
File Format | |
ISBN | 9781612842325 |
ISSN | 15503607 |
e-ISBN | 9781612842332 |
e-ISBN | 9781612842318 |
DOI | 10.1109/icc.2011.5962586 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-06-05 |
Publisher Place | Japan |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Sensors Routing Peer to peer computing Wireless sensor networks Algorithm design and analysis Monte Carlo methods Wireless communication |
Content Type | Text |
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