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Sensors 2009, 9(2), 909-921; doi:10.3390/s90200909

Routing in Wireless Sensor Networks Using an Ant Colony Optimization (ACO) Router Chip

Erciyes University, Engineering Faculty, Computer Engineering Department, 38039, Kayseri, TR, Turkey
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Author to whom correspondence should be addressed.
Received: 25 November 2008 / Revised: 27 January 2009 / Accepted: 11 February 2009 / Published: 13 February 2009
(This article belongs to the Section Remote Sensors)
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Abstract

Wireless Sensor Networks consisting of nodes with limited power are deployed to gather useful information from the field. In WSNs it is critical to collect the information in an energy efficient manner. Ant Colony Optimization, a swarm intelligence based optimization technique, is widely used in network routing. A novel routing approach using an Ant Colony Optimization algorithm is proposed for Wireless Sensor Networks consisting of stable nodes. Illustrative examples, detailed descriptions and comparative performance test results of the proposed approach are included. The approach is also implemented to a small sized hardware component as a router chip. Simulation results show that proposed algorithm provides promising solutions allowing node designers to efficiently operate routing tasks. View Full-Text
Keywords: Wireless sensor networks; routing; ant colony optimization Wireless sensor networks; routing; ant colony optimization
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Okdem, S.; Karaboga, D. Routing in Wireless Sensor Networks Using an Ant Colony Optimization (ACO) Router Chip. Sensors 2009, 9, 909-921.

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