The Localization Algorithm Of Wireless Sensor Network With Improved Optimization Of Hop Count And Hop Distance And Weight Error Correction

With the rapid development of Internet of Things technology,Wireless Sensor Network is not only the key to success of the Internet of Things,but also has become a hot topic of common concern of academia and industry at home and abroad.As a key technology in Wireless Sensor Network,localization technology is widely used in target tracking,intrusion detection and environmental security detection.In these applications,what events occur in the geographical location is one of the important issues that users care about.If the node location cannot be obtained,the collected sensory data is meaningless.Focusing on the localization in the WSN,it explains what basic knowledge is needed and what progress has been made in academic research.The design principles of DV-Hop algorithm and RSSI algorithm are mainly explored.It has laid a theoretical foundation for the implementation of the algorithm.The improved DV-Hop algorithm combining adaptive hopping and hopping optimization is designed to improve the design irrationality of the DV-Hop algorithm.Firstly,the concept of the adaptive value of the communication radius is introduced,and the number of communication radii is adaptively selected by the beacon node to realize the subdivision of the minimum hop count.The threshold of the hop count is then set by an adaptive limit hopping mechanism to reduce the amount of computation.Finally,the flow calculation process of the two types of nodes is added and changed,and the weight concept is added.It can be seen from the experimental results of two different environments that the unreasonable design of the DV-Hop algorithm has been correspondingly improved.Taking the changeable environment as the starting point,we explored the fusion cooperation algorithm.Firstly,the idea of screening the environment is drawn,and the environment at the time of measurement is selected by means of AOA angle information,which is intended to reduce the interference of the remote environment when correcting the ranging error.Then the relationship between the RSSI value and the distance measurement deviation value is analyzed.Based on the relationship between the RSSI value and the distance measurement deviation value,the calculation method incorporating the weight is designed to adapt to the change of the relationship curve to improve the localization accuracy.It can be seen from the experimental performance that the algorithm avoids the limitation of a single Range-based algorithm and adapts better in different deployment environments.The improved weighted error correction and the idea of fusion are integrated into the localization algorithm,and the parameters of sensor nodes are adaptively selected according to the difference of deployment environment,which effectively reduces the influence of the difference of deployment environment on the localization of unknown nodes.