Optimization of Collaborative Beamforming in Wireless Sensor Networks using Genetic Algorithms
نویسندگان
چکیده
Collaborative beamforming (CB) is an idea where beamforming concept is used to establish link in wireless sensor networks (WSNs). Via CB, a subset number of nodes from a network of sensors are able to transmit a common message over long communication distance in a more energy efficient manner. Due to erratic deployment of the sensor nodes in the networks, appropriate assignments to sensor nodes in WSNs is crucial to achieve better array pattern synthesis. In this paper, a node selection method based on conventional uniform linear array (ULA) theory is presented. A virtual line was constructed in the network topology as a reference guide to optimize the selection of nodes to mimic the ULA. The node selection for CB is further optimized using genetic algorithm (GA). Simulation results show that the performance of CB with GA is outperforms conventional ULA.
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