Transmission power optimization for reducing sidelobe via bat-chicken swarm optimization in distributed collaborative beamforming

Collaborative beamforming has been introduced in the communication process of wireless sensor networks to increase the transmission range of sensor nodes. The challenge in using collaborative beamforming is the high sidelobe level. In this paper, an improved hybrid heuristic swarm intelligence optimization algorithm called bat-chicken swarm optimization is proposed to optimize the peak sidelobe level in a distributed random antenna array when locations of the nodes in the array cannot be manipulated. The performance of this newly proposed method is compared with other swarm intelligence optimization algorithms Simulation results demonstrate that the proposed algorithm can achieve better beamforming performance over its comparatives.