Research On Indoor Security Location Algorithm In Wireless Sensor Network

With the swift and violent development of Wireless Sensor Network(WSN),it has been widely used in the indoor area.The wireless sensor network is a wireless self-organization and dynamic network.The nodes in a monitored region can perceive the useful information of an object collaboratively,such as temperature,humidity,stress situations,etc.,and send the data to the user.The localization technology of wireless sensor network is the basis for monitoring,forecasting and identification.The security of data transmission between nodes is also particularly important.This paper mainly studies the security of RSSI indoor localization technology.The RSSI localization algorithm has basically failed under Sybil attack,Wormhole attack and Clone attack environment.Although the existing security location algorithm can effectively prevent the occurrence of attacks,the large consumption of network resources cannot be ignored.Therefore,this paper proposes a tolerable security location method for each of the three attacks.The attack nodes are detected based on the node's physical information.The improved RSSI localization algorithm in the background of Sybil attack determines the attack nodes based on the ratio between RSSI during one RSSI ranging process and multiple RSSI ranging processes.The improved RSSI localization algorithm in the context of Clone attack uses the limited communication range and the unique characteristics of the received message to constrain the communication between nodes,thereby achieving the purpose of tolerating replication attacks.The improved RSSI localization algorithm in the context of Wormhole attack uses the limited communication range characteristics,the limited characteristics of the message and the unique characteristics of receiving messages to detect wormhole attack nodes.Simulation results show that the algorithm proposed in this paper can significantly reduce the intervention error of Sybil attack,wormhole attack and Clone attack compared with traditional node encryption.While achieving the purpose of fighting against attacks,the computational complexity is reduced,the energy consumption of nodes is reduced,and the network life cycle is prolonged.