Genetical Swarm Optimization of Multihop Routes in Wireless Sensor Networks

In recent years, wireless sensor networks have been attracting considerable research attention for a wide range of applications, but they still present significant network communication challenges, involving essentially the use of large numbers of resource constrained nodes operating unattended and exposed to potential local failures. In order to maximize the network lifespan, in this paper, Genetical Swarm Optimization (GSO) is applied, a class of hybrid evolutionary techniques developed in order to exploit in the most effective way the uniqueness and peculiarities of two classical optimization approaches; Particle Swarm Optimization (PSO) and Genetic Algorithms (GA).

Provided by: Hindawi Publishing Topic: Mobility Date Added: Nov 2010 Format: PDF

Find By Topic