Research On Topology Control Based On Wireless Sensor Network

As an emerging network,Wireless Sensor Network is widely used in various key applications,such as environmental monitoring,safety navigation,target tracking,event detection and so on.Wireless sensor networks gather information and data from target monitoring area through a large number of sensor nodes in a self-organized way,often deployed in areas where traditional networks are difficult to deploy.However,the energy,communication capacity,storage and processing capacity of wireless sensor networks are limited.Among them,the energy-constrained is the most important factor,designing efficient energy-saving algorithm is essential.Topology control is one of the key technologies in wireless sensor networks.The goal is to adjust the transmission power of nodes,introduce clustering or dormancy mechanism in the network,and dynamically change the network topology so as to balance the energy consumption of nodes and prolong the network lifetime.In this paper,the topology control algorithm is studied based on energy-constrained wireless sensor networks.The main contents are as follows:(1)Due to the limited energy of the sensor nodes,in order to reduce the energy consumption of sensor nodes,an energy-efficient clustering algorithm based on Average Energy of Adjacent Region named AEAR is designed.The AEAR algorithm considers the average energy of adjacent region and the residual energy of nodes.The average energy of adjacent region is not updated every round,which reduces the energy consumption.The experimental results show that the network lifecycle of AEAR algorithm is higher than REAC and LEACH-E,and the stability period is much higher than LEACH.(2)By randomly cluster head election method,the number of cluster heads selected per round is unstable,and distribution of cluster heads may be uneven.To solve this problem,a power controlled clustering algorithm based on the average energy of adjacent region called PCCAEAR is designed.Experimental results show that PCCAEAR algorithm can effectively stabilize the number of cluster heads and uniform cluster head distribution,making the energy consumption of network more balanced.(3)In order to reduce the traffic of cluster formation process,power control is necessary in the clustering stage.In this paper,a multivariable fuzzy power control algorithm is designed based on the fuzzy logic optimization method.Then PCCAEAR-F algorithm is designed by using multivariable fuzzy power control algorithm in the clustering stage of PCCAEAR algorithm,which makes the cluster head adaptively adjust the transmission power.The experimental results show that the power control in the clustering stage can effectively reduce the energy consumption in the cluster generation process and prolong the network lifecycle.(4)The algorithm is simulated and compared with other algorithms.The experimental results show that the lifecycle of AEAR is better than REAC and LEACH-E,and the stability period is much higher than LEACH.PCCAEAR algorithm has a longer network lifecycle than TCAC,its stability period is 16.9%and 10%higher than AEAR and TCAC respectively.PCCAEAR-F algorithm has a better stability period than PCCAEAR-F,and PCCAEAR-F algorithm has a network lifecycle of 4.9%higher than PCCAEAR algorithm.