Abstract:

In wireless sensor networks,node deployment,route selection and energy efficiency are the key factors that affect network lifetime and transmission efficiency.To solve these problems,a clustered route matching optimization algorithm based on efficient mobile strategy is proposed.First,by combining the fog computing theory,this algorithm presents the calculation method of the optimal number of cross-layer clustering routes,and completes the mathematical model calculation process of the network energy attenuation and the change of transmission distance increment and decrement Dd.The routing strategy is dynamically adjusted adaptively to improve the success rate of data transmission.Second,in the cluster building stage,this paper uses the particle swarm optimization algorithm to search for the complex global time-space optimization solution,ensure the balance of the number of member nodes in the cluster,and improve the reliability and dual-choice of routing.Third the necessary conditions of single-hop and multi-hop in data transmission are given by using the dual-path backup technology,and the constraints on the hopping modes under different gradients are given to optimize resource allocation,improve the network lifetime,and reduce network delay and energy consumption.Finally,experimental results show that the proposed algorithm is superior to the other three algorithms in terms of network delay,network energy consumption,network lifetime and the number of failed nodes,thus verifying the effectiveness of the proposed algorithm.

Key words: migration strategy, cluster routing, network latency, network energy consumption, network lifetime