Wireless Sensor Network Self-localization And Tracking Technology Research

As wireless communication technology, distributed computing technology,sensor technology and micro-electromechanical systems (MEMS) technology forrapid development and integration, wireless sensor networks has become a specialhuman perceptual system, the environment through real-time monitoring ofdemand, timely and effective information extraction special needs can achieve thegoal. Therefore, in industrial control, environmental monitoring, disasterprevention, urban traffic control, intelligent home, such as precision agriculturehas played an increasingly important role. In applications, sensor nodesself-positioning is very important, it is valid to demand to get targetinginformation and the basic conditions for tracking information elements.There are some problems universally in self-location method of wireless sensornetworks at present, such as great effect on localization accuracy by externalenvironmental, high algorithm complexity, high power consumption of hardwareand non-application to the dynamic nodes. It is not suitable for mass productionand application, due to the high cost, when additional equipment is needed toimprove the accuracy.This paper will study another location algorithm, which is not easily affectedby external environment, computes simply and does not need the additionalhardware. The main contents are as follows:1) Based on design and implementation of the triangle centroid locationalgorithm corrected by RSSI: A new RSSI algorithm with strongerenvironment adaptability and lower cost hardware is proposed according toRSSI data model, when it is combined with the triangle centroid algorithm.The basic theory of algorithms, realization process and performance are to bediscussed. It is verified to be feasible, valid and adaptable through emulationmode. Compared with similar algorithms, the error range of algorithmaccuracy is less than0.4m with strong stability.2) As a result of limited nodes resources and poor resistance to damage, thispaper is mainly based on the distributed approach to increase the entirewireless network system usage time. Under the distributed processing mode, the location algorithm is applied to the target tracking system. Thus, a newtracking system (Nemo Track) is put forward, whose performance is tested byemulation experiment.