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In directional wireless sensor networks (WSN), the existing neighbor's discovery methods involve high latency and energy consumption, compared to the block design-based methods. Moreover, the duty cycle schedule of nodes has to be addressed to increase the network lifetime. In this paper, an energy-efficient collaborative neighbor discovery mechanism using the bacterial foraging optimization (BFO) algorithm is recommended. In this computation, each node with a directional antenna performs beamforming using BFOA with sector number and beam direction as the fitness function. In the end, appropriate active nodes with higher energy levels are selected from the neighbors during data transmission. The obtained results have shown that the recommended model minimizes power conservation and delay and enhances the lifetime of time of network activity. |
