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Data Gathering Communication in Wireless Sensor Networks Using Ant Colony Optimization

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2 Author(s)
Niannian Ding ; Department of Systems and Computer Engineering Carleton University, Ottawa, Canada, ; P. X. Liu

This paper introduces a centralized approach to data gathering and communication for wireless sensor networks. Inspired by the social behaviors of ants, we clearly partition the work for the base station and sensor nodes according to their different functions and capabilities. A near-optimal chain is achieved by using an ant colony optimization method ruing in the base station. The sensor nodes in the network then form a bi-direction chain structure, which is self-adaptive to any minor changes. The simulation results show that the developed AntChain algorithm performs much better than the LEACH and PEGASIS methods, in terms of energy-efficiency, data integrity and life time, when the base station

Published in:

Robotics and Biomimetics, 2004. ROBIO 2004. IEEE International Conference on

Date of Conference:

22-26 Aug. 2004