Wireless Sensor Network energy balance routing based on ant colony algorithm

DOI

10.2991/essaeme-17.2017.117How to use a DOI?

Keywords

ant colony algorithm, Wireless Sensor Network, life cycle, energy balance

Abstract

The traditional limitations of ant colony algorithm used in Wireless Sensor Networks was studied sufficiently and improved infectively in this paper. The node residual energy pheromone is considered as update factor and distance heuristic probability function is also included in this method to improved wireless sensor routing algorithm based on ant colony algorithm. Simulation experiments was carried out through the establishment of wireless sensor network model, its result shows that the proposed algorithm converges faster than traditional method, guarantees nodes balance of energy consumption in the networks. In additional, the network life cycle was increased by 10% compare with traditional method

Copyright

© 2017, 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 Wang
AU  - Ying Shi
PY  - 2017/07
DA  - 2017/07
TI  - Wireless Sensor Network energy balance routing based on ant colony algorithm
BT  - Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-17.2017.117
DO  - 10.2991/essaeme-17.2017.117
ID  - Wang2017/07
ER  -