Multi-objective optimization method of smart medical wireless sensor network coverage based on improved cuckoo algorithm

In order to improve the coverage level of smart medical wireless sensor network, a multi-objective optimization method of smart medical wireless sensor network coverage based on improved cuckoo algorithm is proposed. Construct the routing node deployment structure model of smart medical wireless sensor network, adopt the channel balanced scheduling method to realize the structured scheduling and spread spectrum processing of the transmission layer of smart medical wireless sensor network, adopt the multi-sensor fusion tracking identification method to realize the identification of the coverage parameters of smart medical wireless sensor network, adopt the improved cuckoo algorithm to establish the dynamic distribution function of wireless sensor network coverage multi-objective optimization, and randomly scatter several sensors in the area to be monitored. And set a certain number of anchor nodes, initialize the position parameters of the population, calculate the fitness value of the initial population and sort it from small to large. Through the joint parameter identification of the initial position set and the target position set of the mobile node, the multi-objective optimization of the coverage of the smart medical wireless sensor network is realized. The simulation test results show that this method can improve the coverage level of nodes and reduce the network energy cost and transmission error rate.