Study On Energy For Balance Control Of Wireless Sensor Network Based On Cellular Automata

Recently,With the development of the Internert of the things,wireless sensor network(WSN) become a research hot spots.WSN refers to wireless communication,Micro-elcetro-mechanism system,network technology,and so on,which imposes the development of WSN.Energy is always the key discuss problem in this field,because the environment of sensor nodes is nobody and severe.The energy of Nodes in wireless sensor network is limits.When the energy of node is used up,the network will form"hole", while it will reduce the lifetime.We develop the evolution rule of energy in the constraint of energy,and explore the ways for prolonging the lifetime of network.This paper analyses the energy consumed of nodes in wireless sensor network.The state of energy consumded will be classified into four state,transmitter,receiver,idle and sleep.Combined cellular automata model,this paper proposes the control method of energy-banlancing,and analyses the hierarchy,the principle,the scheduler of NS2.On this basis we add the modular of cellular automata,and validate the rationality of the model. Given the difficulty of adjusting parameters for cellular automata ,this paper presents the fuzzy cellular automata for the control method of energy-banlancing,and makes fuzzy rules for energy of node.The simulation results demonstrate the fuzzy cellular automata model may advance the efficiency and prolong the lifetime of network.At last,we analyse the trend of packet loss rate,delay and throughput.We introduce the Lorenz curve for assessing the degree of energy-balancing. the results show the proposed model have made a good effect for the controlling energy-banlancing,namely,the network performance that is consistent with AODV,have less change for adding the model to system.