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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2010 Vol.2(6): 972-977 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2010.V2.272

iACO: A Bio-inspired Power Efficient Routing Scheme for Sensor Networks

Venkatesh Mahadevan and Frank Chiang

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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