Volume : IV, Issue : XI, November - 2015
An Ant colony optimization algorithm to solve the broken link problem in wireless sensor network.–A Review
Minakshi, Monika Bansal
Abstract :
Aco is a well –known metahuristic in which a colony of artificial ants cooperates in explain Good solution to a combinational optimization problem. Wireless sensor consisting of nodes with limited power is deployed to gather useful information from the field. In wireless sensor network 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 Network consisting of stable nodes illustrative example details description and cooperative performance test result the proposed approach are included. The approach is also implementing to a small sized hardware component as a router chip simulation result show that proposed algorithm Provides promising solution allowing node designers to efficiency operate routing tasks.
Keywords :
Threshold Value (Load on Node) Noise Variance Request Timeout Backoff Attempt Slot Time Turnaround Time Max Retries.
Article:
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DOI : 10.36106/ijsr
Cite This Article:
Minakshi, Monika Bansal / An Ant colony optimization algorithm to solve the broken link problem in wireless sensor network.–A Review / International Journal of Scientific Research, Vol : 4, Issue : 11 November 2015
Number of Downloads : 868
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Minakshi, Monika Bansal / An Ant colony optimization algorithm to solve the broken link problem in wireless sensor network.–A Review / International Journal of Scientific Research, Vol : 4, Issue : 11 November 2015
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