Study On Topology Control Algorithm For Wireless Sensor Network Based On Markov Model

Wireless sensor network(WSN)is an important part of the Internet.WSN is widely used in our society,and it often works in a special environment.With the rapid development of the technology,the nodes are facing the lack of reasonable channel allocation seriously,increases the interference,limited energy and a series of defects in WSN.And the network anti-jamming,time delay,reliability performance easy to affected WSN.At the same time,the communication interference between the network nodes could cause the retransmission of information,resulting in energy waste,reduce the nodes lifetime.Because some nodes will cause cascading failure,the network will be paralyzed.Therefore,it is of great significance to reduce the interference between network nodes to improve the utilization of node energy.Based on the Markov chain model,that paper establishes the topology control algorithm of node life cycle model.The concrete researches are as follows.(1)The organizational structure of WSN is described.Meanwhile,its background and significance are expounded in the topology control algorithm.We analyze the domestic and foreign development present situation of this topic.Then we put forward the problems of the existing algorithms,which provides the theoretical basis for the later research in topology control algorithm of WSN.(2)Aiming at the different energy consumption of nodes in different state,it is deeply analized according to Markov chain.Then the node state transition model and energy consumption matrix model are constucted.The analysis of the node energy consumption provides the theoretical basis for the study of extending the nodes' lifetime.(3)This paper proposes a topology control algorithm named MPLM based on a Markov model to optimize the ability of anti-jamming and extend the network life span aiming at the severe interference,the increasing energy consumption and the poor anti-jamming caused by the lacking spectrum resources and the hostile environment.This algorithm establishes state transition probability to reflect the capacity of node anti-jamming based on the node signal-to-noise ratio.This algorithm finds the solution of the node life span under the condition of different power through building energy consumption of the node state transition model and defining the node state transition times.Through building energy consumption of the node state transition model and define the node state transition times to reflect the node life span under the condition of different power.Through signal-to-noise ratio and transferred times to get optimal power to optimize the capacity of network anti-jamming and lifetime.