Abstract
Wireless Sensor Networks WSN s have become an important and challenging issue in last year Wireless Sensor Networks consist of nodes with limited power are deployed to gather useful information from the field and send the gathered data to the users 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 In this paper we introduce a heuristic way to reduce energy consumption in WSNs routing process using Ant Colony Optimization We introduce three Ant Colony Optimization algorithms the Ant System Ant Colony System and improved AS and their application in WSN routing process The simulation results show that ACO is an effective way to reduce energy consumption and maximize WSN lifetimeThis work is licensed under a Creative Commons Attribution 4.0 International License.
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