Genetical Swarm Optimization of Multihop Routes in Wireless Sensor Networks

In recent years, wireless sensor networks have been attracting co nsiderable 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, inthis paper, genetical swarm optimization (GSO) is applied, a class of hybrid evolutionary techniques developed in order to exploitin the most e ffective way the uniqueness and peculiarities of two classical optimization approaches; particle swarm optimization(PSO) and genetic algorithms (GA). This procedure is here implemented to optimize the communication energy consumption ina wireless network by selecting the optimal multihop routing schemes, with a suitable hybridization of different routing criteria,confirming itself as a flexible and useful tool for engineering applications.