Wireless Network Link Planning Based on Node Location Learning Distribution Model
A wireless network link planning algorithm based on node location learning distribution model is proposed to address the problems of low resource utilization and fast node energy consumption in existing wireless network link planning.Firstly,select the optimal target node and form a reasonable network node topology structure;Then,accurately identify the current node location through communication perception between nodes;Finally,introduce an optimized genetic algorithm to enhance the data processing and iterative optimization capabilities of wireless net-works,and obtain the optimal network link planning results by combining the learning results.The experimental re-sults show that the algorithm can improve node cache utilization and network bandwidth utilization,and save energy consumption of wireless networks through communication link optimization,thereby prolonging the lifespan of survi-ving nodes and the entire network lifecycle.
node position learningwireless networkfitness functionnetwork lifespannetwork bandwidth
国家科技期刊平台
NSTL
万方数据
维普
