Research On Energy Balance And Sourcelocation Privacy Of Wireless Sensornetworks

Wireless Sensor Networks(WSNs)have developed from the initial embryonic stage to the present stage.At this stage,the technology is mature and the WSNs are widely used.Wireless sensor networks are still the focus of research in a wide range of fields,and their ability to perceive targets,collect information,process data and transmit data makes them an indispensable part of the Internet of Things(IOT).Nowadays,the rapid progress of Internet of Things technology and the rise and research of new social Internet of Things have pushed the research of wireless sensor networks to a new climax.Although the development of wireless sensor technology is becoming more and more mature and the research is more and more in-depth,the energy consumption problem has attracted much attention because of the limited power supply and the limitation of deployment environment.The wireless communication characteristics of sensor nodes make the source node vulnerable to malicious attacks,so it is very important to protect the location security of the source node.This paper focuses on two aspects of energy balance and source location security.The main works are as follows:(1)This thesis simply introduces the background and significance of this thesis,in the meantime,introduces the development process and characteristics of wireless sensor networks,introduces the main technical hotspots in the field of wireless sensor networks,studies the energy balance and privacy security technologies in detail,introduces the causes,solutions and research status of energy balance and source location privacy problems,and summarizes the current situation of clustering analysis technology and the combination of clustering analysis algorithm and wireless sensor network technology.(2)An energy balance algorithm based on clustering analysis(DBKM)is studied.The optimal transmission distance with the highest energy consumption efficiency is used to set the threshold of BIRCH algorithm,so the clustering feature tree(CF Tree)is established to control the size of the cluster within the transmission distance with the smallest energy consumption.Then we use the objective function to optimize the clustering results and balance the number of nodes in the cluster.Finally,data transmission routing is designed on the basis of residual energy and geographic location.Experiments show that the algorithm can not only cluster the network according to thegeographical location and the distance between nodes,but also make the number of nodes in each cluster uniform,reduce and balance the energy consumption of sensor nodes in each cluster and between clusters,and ultimately increase the service life of the network.(3)A source location privacy routing protocol is improved.In this paper,we improve the protocol,which considers the problem of stronger attacker,visible area and failure path.By setting transition node,visible area node flag and node selection flag,we can avoid the failure path and increase the diversity of routing paths.In the whole routing protocol,a random real number with Gaussian distribution is generated by using a pseudo-random generator,and the random hops in the corresponding random hop phase and the hops in the Gaussian distribution routing phase are calculated by using the random real number.Experiments show that the improved protocol does not generate failure paths and improves the security of source node location.