Research On Energy-optimized Clustering Routing Algorithm In Wireless Sensor Networks

As an important data source for the IT sector,the Wireless Sensor Network(WSN)has a wide range of possible use cases and is a hot topic for research in the field of IT.WSN is composed of several sensor nodes,which can complete data acquisition in severe conditions and become the medium of network and reality.However,microsensors are not easy to replace the batteries,resulting in serious limitations of their own energy and resources.Therefore,WSN meet grand challenges of reducing node energy consumption and prolonging the lifetime.Wireless data transmission of sensor nodes accounts for the main part of network energy consumption,so the clustering routing algorithm aiming at energy optimization has become the key to prolong the life cycle of WSN.The thesis constructs energy optimization algorithms around different types of WSNs with fixed and mobile nodes.The main work is as follows:(1)In the network with fixed nodes,aiming at the problem that the unreasonable selection of cluster head in the clustering routing algorithm leads to the fast energy consumption rate of nodes,a Multi-factor Clustering based on Hybrid Butterfly Algorithm(MFHBA)is proposed.Firstly,this algorithm combines butterfly optimization algorithm and particle swarm optimization algorithm,and improves the population initialization and convergence speed,and proposes a new hybrid butterfly optimization algorithm.Secondly,it is applied to the cluster head selection process of hierarchical routing algorithms,and takes the network energy optimization as the goal,introduces the multi factor optimization fitness function of node residual energy,distance from node to base station and cluster head to reduce the energy consumption of sensor nodes.Compared with the three comparison algorithms,simulation shows that MFHBA has higher performance and longer network survival period.(2)In the network with mobile nodes,in connection with the problem that the selection of cluster head is unreasonable and the frequent change of cluster structure leads to the aggravation of network energy consumption,a Multi-hop Clustering based on Fuzzy Logic Routing Algorithm(MHCFL)is proposed.Each node uses three fuzzy variables of residual energy,node centrality and node speed variance to infer the probability that itself is selected as the cluster head.The node with large probability value competes as the cluster head.Then,the algorithm designs a multi hop data transmission scheme between clusters according to energy and distance.Compared with LEACH and LEACH-ME,simulation shows that MHCFL has better performance on energy consumption and lifetime.