Application of an Enhanced Whale Optimization Algorithm on Coverage Optimization of Sensor

The wireless sensor network (WSN) is an essential technology of the Internet Things (IoT) but has problem low coverage due to uneven distribution nodes. This paper proposes a novel enhanced whale optimization algorithm (WOA), incorporating Lévy flight and genetic mechanism (WOA-LFGA). technique bolsters global search ability convergence speed WOA, while enhances its local random capabilities. WOA-LFGA tested with 29 mathematical problems WSN model. Simulation results demonstrate that improved highly competitive compared mainstream algorithms. Moreover, practicality effectiveness in optimizing are confirmed.