NDLI: Neural Network Based Energy Efficient Clustering and Routing in Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Nehra, N.K. Kumar, M. Patel, R.B.
Copyright Year	2009
Abstract	Energy is a valuable resource in Wireless Sensor Networks (WSNs). The status of energy consumption should be continuously monitored after network deployment. The information about energy status can be used to early notify both sensor nodes and Network Deployers about resource depletion in some parts of the network. It can also be used to perform energy-efficient routing in WSNs. In this paper, we propose a neural network based clustering and energy efficient routing in WSN with the objective of maximizing the network lifetime. In the proposed scheme, the problem is formulated as linear programming (LP) with specified constraints. Cluster head selection is done using adaptive learning in neural networks followed by routing and data transmission. The simulation results show that the proposed scheme can be used in wide area of applications in WSNs. Keywords: Sensor networks; Energy Efficient Routing, Linear Programming, Neural Networks
Starting Page	34
Ending Page	39
File Size	275420
Page Count	6
File Format	PDF
ISBN	9781424453641
DOI	10.1109/NetCoM.2009.56
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-27
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Wireless sensor networks Energy consumption Protocols Neural networks Clustering algorithms Routing Linear programming Energy efficiency Power engineering and energy
Content Type	Text
Resource Type	Article

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