Design and analysis of virtual MIMO-based low-power control algorithm for WSN

In order to fully reduce network energy consumption, an improved virtual MIMO technique applied to small and medium scale isomorphism WSN is proposed. The life of WSN is prolonged by combining the energy-efficient virtual MIMO communication technology with the method that cluster heads are selected randomly and cyclically and the network energy load is balanced. Influencing factors on the virtual MIMO WSN energy-saving performance are analyzed carefully in this study, including the network size, node density and path loss factor. And the longest life of the network is used as optimization objective, the ratio of cluster head (the ratio of the number of cluster head required and the total number of nodes) which is a key parameter of WSN are optimized by genetic algorithm. Simulation results show that compared with LEACH this novel algorithm is more efficient to save energy of consumption and prolong the living time of the whole network when the parameters of network structure are properly selected. © Maxwell Scientific Organization, 2013.