An ETBG Optimization Algorithm Based on Analytic Hierarchy Process in WSN

DOI

10.2991/iccsee.2013.422How to use a DOI?

Keywords

WSN, ETBG, cluster head choosing, weight coefficients, AHP,

Abstract

To solve the problems which exist in Energy-aware Topology Control Protocol Based on Gradient(ETBG) algorithm, one strategy that considers a combination of factors to choose the cluster head is proposed based on Analytic Hierarchy Process(AHP). This way not only uses the comprehensive weight that composed of the residual energy, number of neighbor nodes, average distance to the neighbor nodes, distance to the center of gradient, but also utilizes mathematical methods to determine weight coefficients, to reduce the interference of human factors and make the elected nodes enough optimized to serve as cluster heads. Simulation results show that the elected cluster heads distribute more properly in space, so that the network lifetime can be further extended and the algorithm is suitable for large-scale sensor network.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xin-fang Yan
AU  - Yong-kun Zhang
AU  - Hai-ling Tang
AU  - Shao-nong Li
PY  - 2013/03
DA  - 2013/03
TI  - An ETBG Optimization Algorithm Based on Analytic Hierarchy Process in WSN
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1686
EP  - 1689
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.422
DO  - 10.2991/iccsee.2013.422
ID  - Yan2013/03
ER  -