Application Research of Improved Ant Colony Algorithm in Hybrid Mobile Agent Routing

Li Hong Zhang; Shu Qian Chen; Gui Zhi Bai

doi:10.4028/www.scientific.net/AMR.734-737.3093

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 734-737Application Research of Improved Ant Colony...

Application Research of Improved Ant Colony Algorithm in Hybrid Mobile Agent Routing

Abstract:

Mobile agent routing essentially is a multi-constraint optimization problem, for Ant Colony algorithm for global search capability is weak, the feedback information of the system does not use and has the problem of low efficiency of finding exact solutions, propose an improved Ant Colony Algorithm for WSN mobile agent routing. This algorithm takes full use of the wireless sensor node energy, the direction of ants is determined according to the residual energy and the distance of nodes, quickly find the global optimal solution for mobile agent route. Simulation results show that the algorithm can find optimal mobile agent route in a relatively short time, relative to other routing algorithms, reducing network latency and average energy consumption, effectively alleviate network congestion, and extend the network lifetime.

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Periodical:

Advanced Materials Research (Volumes 734-737)

Pages:

3093-3097

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.734-737.3093

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Online since:

August 2013

Authors:

Li Hong Zhang, Shu Qian Chen, Gui Zhi Bai

Keywords:

Ant Colony Algorithm (ACA), Mobile Agent, Routing Algorithm, Wireless Sensor Network (WSN)

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