Application of improved black hole algorithm in prolonging the lifetime of wireless sensor network

Abstract Sensor technology is developing rapidly and up to date. The lifetime of the Wireless Network (WSN) has also attracted many researchers, location Base Station (BS) plays a crucial role in prolonging lifetime. energy consumption WSN occurs during transmission data selection cluster-head nodes. A reasonable BS prolongs WSN. This study proposes Levy Flight Edge Regeneration Black Hole algorithm (LEBH) speed convergence enhance optimization capabilities. performance LEBH other heuristic algorithms are compared on CEC 2013. result shows that outperforms heuristics most cases. In this study, models simulated. Subsequently, proposed combined with relocation change prolong Simulation results show LEBH-BS better than random-base static-base stations