TY - JOUR A2 - Hong, Tzung P. AU - Caputo, Davide AU - Grimaccia, Francesco AU - Mussetta, Marco AU - Zich, Riccardo E. PY - 2010 DA - 2011/03/06 TI - Genetical Swarm Optimization of Multihop Routes in Wireless Sensor Networks SP - 523943 VL - 2010 AB - 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). This procedure is here implemented to optimize the communication energy consumption in a 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. SN - 1687-9724 UR - https://doi.org/10.1155/2010/523943 DO - 10.1155/2010/523943 JF - Applied Computational Intelligence and Soft Computing PB - Hindawi Publishing Corporation KW - ER -