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Evaluation on optimum geometrical of linear node array for self-organization in a wireless sensor network

A novel approach which combines an adaptive linear antenna array and a non-linear function of particle swarm methodology has been developed to estimate the performance of antenna gain in the presence of sensor node geometry location uncertainties. The randomness of sensor nodes geometry location can produce higher energy consumption as it permits the generation of high peaks in radiation beampattern performance. It is shown in simulations that the method is powerful in term of required main beam angle and side lobe level reduction. Results indicate an improve performance in term of radiation beampattern and motivate exploiting this newly-developed optimum method in node geometrical location strategies of WSNs.