Energy Efficient Dynamic Routing Protocol for Wireless Sensor Networks

Md Golam Murshed, Alistair Allen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One of the most significant challenges for Wireless Sensor Networks
(WSN) is long-lived sensor nodes and minimization in overall power
consumption, As the nodes spend substantial energy in sending and receiving
data, a robust and power-aware routing protocol can maximize the network
lifetime. In this paper, a cluster based dynamic and energy efficient routing
scheme with optimal transmission range (DEOR) for wireless sensor networks
is proposed in order to maximize the network lifetime. In this protocol, nodes
are classified in different ranks depending on the nature of their power
consumption in terms of both direct communication to the Base Station and
optimal transmission range. Each node maintains a routing table to choose the
next hop node to relay the data and after successful transmission it updates that
routing table. Computer simulation of this dynamic routing protocol has been
done and a better outcome has been observed compared to one of the multihop
routing strategies.
Original languageEnglish
Title of host publicationAdvances in Computer Science and Information Technology
Subtitle of host publicationComputer Science and Engineering.
EditorsNatarajan Meghanathan, Nabendu Chaki, Dhinaharan Nagamalai
PublisherSpringer-Verlag
Pages41-52
Number of pages12
Volume85
ISBN (Print)9783642273070
Publication statusPublished - 2012

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
PublisherSpringer Verlag
Volume85

Keywords

  • Wireless Sensor Network
  • Energy Hole Problem
  • Optimal Transmission Range
  • Routing Table

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  • Cite this

    Murshed, M. G., & Allen, A. (2012). Energy Efficient Dynamic Routing Protocol for Wireless Sensor Networks. In N. Meghanathan, N. Chaki, & D. Nagamalai (Eds.), Advances in Computer Science and Information Technology: Computer Science and Engineering. (Vol. 85, pp. 41-52). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 85). Springer-Verlag.