NDLI: A Probabilistic Energy-Efficient Routing (PEER) Scheme for Ad-hoc Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Kai Chen Yang Qin Fan Jiang Zongyao Tang
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China (Kai Chen; Yang Qin; Fan Jiang)
Abstract	Wireless ad-hoc sensor networks consist of small nodes with sensing, computing, and communicating capabilities. Energy deficiency is a key problem of these kinds of networks. Many routing, power management, and data dissemination protocols have been specifically designed for them where energy awareness is a chief design issue. This paper proposes a new probabilistic agent-based energy efficient routing strategy (PEER). In contrast to the earlier work that focus on energy-aware routing, PEER takes into account both total cost and individual residual energy of the whole path statistically (path-based) when selecting the next hop, i.e. each intermediate node chooses its next hop node based on the statistical path information from that node to the sink. We show through analysis and simulations that PEER can prolong the network survivability, shorten the average packet delay, and hence outperform all the existing routing schemes. Moreover, we conjecture that the coefficient rho in PEER may be intelligently adjusted to fit the situation of the volatile networks, thus we make further investigation into it and achieve the intending results
Starting Page	964
Ending Page	970
File Size	346068
Page Count	7
File Format	PDF
ISBN	1424406269
DOI	10.1109/SAHCN.2006.288590
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy efficiency Routing Peer to peer computing Wireless sensor networks Costs Computer networks Analytical models Intelligent sensors Ad hoc networks Quality of service
Content Type	Text
Resource Type	Article

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