Optimization of Routing Protocol in Wireless Sensor Networks by Improved Ant Colony and Particle Swarm Algorithm

Tianshun Huang


This paper mainly discusses the analysis and evaluation of routing protocols for Wireless Sensor Networks. Particle swarm algorithm has been proven to be very good solve many global optimization problems. Ant colony algorithm not only uses the positive feedback principle, the evolution process of speeding up to a certain extent, but also can be implemented in parallel in nature and different individuals through continuous information exchange and transmission. The paper presents optimization of routing protocol in wireless sensor networks based on improved ant colony and particle swarm algorithm. Finally, simulation results verify the effectiveness of the improved algorithm, and improve the search for optimal routing.


Wireless Sensor Network; Particle Swarm Algorithm; Ant Colony; Routing Protocol

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DOI: http://doi.org/10.11591/ijeecs.v12.i10.pp7486-7494


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