Abstract—An efficient and effective routing scheme plays an important role in improving the network throughput of Wireless Sensor Networks (WSNs) under the major constraint of power consumption. This paper proposes an energy efficient routing algorithm inspired from nature colonial scheme, its implementation and validation are also described in this paper. Details of the algorithm and its testing procedures are included. The proposed model is validated through simulations, demonstrating the network performance measurements such as delay, throughput and packet loss have been improved as a promising outcome.
Index Terms—Wireless Sensor Networks (WSNs), Biologically Inspired System, Ant Colony Optimisation (ACO), Swarm Intelligence (SW)
Venkatesh Mahadevan, Faculty of Higher Education, Swinburne University of Technology, Vic 3140 Australia (email: vmahadevan@swin.edu.au).
Frank Chiang , Faculty of Engineering and IT, University of Technology Sydney, NSW 2007 Australia (email: jshzhang2000@yahoo.co.uk).
Cite: Venkatesh Mahadevan and Frank Chiang, "iACO: A Bio-inspired Power Efficient Routing Scheme for Sensor Networks," International Journal of Computer Theory and Engineering vol. 2, no. 6, pp. 972-977, 2010.
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