Energy Efficient Clustering Algorithm For Multi-level Heterogeneous Wireless Sensor Networks

Wireless Sensor Network is a data collection,processing and transmission integrated as one of the network,it is also a node distribution more random,self-organized coordination and cooperation,no infrastructure network,in many areas have a broad Application prospects.However,the sensor nodes in the network are small in size and the energy of the nodes is limited.Moreover,the nodes need to collect and process the monitoring data,and send the data through wireless broadcast communication.Therefore,how to make full use of energy to optimize the wireless sensor network routing in order to reduce the energy consumption of the sensor nodes is the key issues to solve.In this paper,based on DEEC studies the optimal clustering routing technology of multi-level heterogeneous WSN based on node location information and current residual energy,and analyzes the ability of improved routing technology in network running cycle and forwarding data volume.The main contents of this paper are as follows:1.Introduce the concept,characteristics,structure,and application model of WSN.The operation mechanism of LEACH and DEEC routing is expounded.Through simulation experiment compare to the performance of these two algorithms,and analyzed the advantages and disadvantages of these two algorithms.At the same time,it briefly introduces other related WSN routing techniques and analyzes the areas where DEEC can be improved.2.The clustering routing technology based on node position and residual energy is analyzed.The clustered network has a good scalability and is easy to manage,so it becomes an important method to solve the energy consumption problem.In this paper,a multi-level heterogeneous wireless sensor network energy optimization algorithm(EOCA)is proposed.The algorithm considers the position of the node and the residual energy in the clustering stage,so that it can make selected cluster head closer to the base station,and reduced the base station farther node campaign for the cluster head probability.Compared with the SEP and DEEC routing algorithms,the EOCA routing algorithm improves the performance of the network and balances the consumption of the whole network,and the lifetime of the whole network also can be prolonged.3.The adaptive multi-hop routing algorithm based on node position and residual energy is analyzed.In this paper,we presents a multi-hop routing algorithm(MEECR)for multi-level heterogeneous wireless sensor networks.This algorithm uses a single-hop and multi-hop routing mechanism.It uses a distance threshold to determine whether a node adopts single-hop or multi-hop routing.In the multi-hop routing,this algorithm based on node location and residual energy defined by a decision value,determined the cluster head next hop routing by the decision value.From the simulation results,MEECR effectively improves the performance of the network.Compared with SEP and DEEC,MEECR has a long stable running time and greater network throughput.