Research On WSN Location Algorithm Based On RSSI Distance Optimization

With the Internet into everyone’s life, the wireless sensor network which is closely connected with the Internet technology will undoubtedly be greatly developed. Wireless sensor network to most often say is the use of sensor nodes in a region of perception, acquisition, processing and transmission network coverage within a geographic area perceived objects of monitoring information, and presented to the users want to see. With the current Internet industry rapidly penetrated into all walks of life, based on the Internet Internet plus has also led to the development of vigorous, in-depth research and extensive application in wireless sensor networks, wireless sensor networks with the Internet thinking will provide a more convenient and comfortable, intelligent life for human being. As the core technology of wireless sensor networks, node localization has been a hot spot in the research of, how node location is applied to the two-dimensional environment under some special environment, to distinguish the application environment more refined, and more vertical depth combination is the purpose of this study.The specific research contents and innovative work of this paper are as follows:(1) in this paper, we first introduce the background and significance of the research of the wireless sensor network localization and research status at home and abroad, comprehensive and detailed explanation of the wireless sensor network positioning technology and its classification, and different classification of node localization algorithm and gives the localization algorithm performance evaluation criteria.(2) then put in a two-dimensional environment ranging algorithm is improved; in ranging stage, through the analysis of two-dimensional classical RSSI ranging mathematical model established the range mathematical model, and analyses the factors affecting RSSI. Based on the RSSI ranging error of proposed a based on error compensation measures are analyzed, and the special conditions for two-dimensional the environment as a whole is inconsistent, local environmental anomalies are given a proposed ranging error compensation algorithm based on improved. In order to improve the ranging accuracy under the special environment.(3) in the localization phase of the study, analyzes the mathematical model of the traditional centroid localization algorithm, and through the experiment prove traditional centroid localization algorithm using conditions and effects of centroid localization algorithm, and in this condition to establish the location model in this paper. In view of the problems existed in the traditional centroid localization algorithm and the suitable environment proposed the improved centroid localization algorithm, and prove the improved algorithm is better suited to the experiment, when in two-dimensional environment, density of beacon nodes is low, distribution is not uniform environment can have better positioning effect, and it has higher positioning accuracy, and the error is smaller. And then the improved centroid localization algorithm algorithm based on RSSI ranging and positioning of unknown nodes, apparently by adding auxiliary information of range, precision positioning have further improved; and puts forward the improved error self calibration algorithm, when the application environment of positioning accuracy have higher requirements, the error self calibration algorithm to be used and algorithm in terms of accuracy and stability and reliability are improved.(4) of the above algorithm is simulated on the MATLAB platform, in simulation of ranging error compensation algorithm of error compensation before and after the experiment. The experimental results show that after compensating the range can be effectively improve the ranging accuracy. And at the stage of positioning algorithm by comparing the existing algorithm to prove that the improved algorithm proposed in this paper has a better effect in positioning.