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2017 | OriginalPaper | Chapter

A New Dynamic Weight-Based Energy Efficient Algorithm for Sensor Networks

Authors : Alsnousi Essa, Ahmed Y. Al-Dubai, Imed Romdhani, Mohamed A. Eshaftri

Published in: Smart Grid Inspired Future Technologies

Publisher: Springer International Publishing

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Abstract

Since sensor nodes have limited energy resources, prolonging network lifetime and improving scalability are essential elements in energy- efficient Wireless Sensor Networks (WSNs). Most existing approaches consider the residual energy of a single node when electing a cluster head (CH), omitting other factors associated with the node, such as its location within the WSN topology and its nodal degree. Thus, this paper proposes a new Dynamic Weight Clustering based Algorithm (DWCA) for WSNs to reduce the overall energy consumption, balance the energy consumption among all nodes and improve the network scalability. The study has examined the performance of the proposed DWCA algorithm using simulation experiments. We compare the performance of our DWCA against some counterparts. The results demonstrate that our algorithm outperforms its counterparts in terms of energy efficiency and scalability.

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Metadata
Title
A New Dynamic Weight-Based Energy Efficient Algorithm for Sensor Networks
Authors
Alsnousi Essa
Ahmed Y. Al-Dubai
Imed Romdhani
Mohamed A. Eshaftri
Copyright Year
2017
Book
Smart Grid Inspired Future Technologies

Print ISBN: 978-3-319-47728-2

Electronic ISBN: 978-3-319-47729-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-47729-9_20

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