Mobile Beacon Assisted Weight Centroid Localization Algorithm For Wireless Sensor Networks

Wireless sensor network, as a new kind of information acquisition andprocessing technology, has been widely concerned and applied. Locationinformation is a precondition for mostly practical applications. It has importantsignificance in the context relevant wireless sensor network application system.Therefore, the study of node localization algorithm has important theoreticalsignificance and practical value in the wireless sensor network.This paper organized as following: In section1, the research backgroundand significance of the wireless sensor network node localization technology,research status at home and abroad, as well as the problems and challenges areintroduced, also gives classified introductions and comparisons of the existingnode localization algorithm. In section2, on the basis of in-depth research andanalysis of the existing mobile beacon assisted localization algorithm, takinginto account the restriction of the movement of the mobile beacon node in theactual application environment， a miniature unmanned helicopter equippedwith beacon node is introduced. And a weighted centroid localization algorithm:FBAWCL (Flight Beacon Assisted Weight Centroid Localization Algorithm)based on a single Flight beacon node is proposed. In section3, an experimentaltesting and make an analysis on the localization algorithm in the simulationenvironment and the actual environment.As FBAWCL algorithm concerned, there are two key problems involve. Firstly, the moving path for the flying beacon node needed to be planned.Secondly, the location coordinates for the unknown node needed to becalculated. Over the deployment area, flight beacon nodes move in accordancewith the pre-set separation of the two-stage straight path and broadcast beaconsignal containing its own location information periodically. Unknown nodesfilter out virtual beacon location information according to the RSSI value of thereceived beacon, and then use the improved weighted centroid calculationmethod to calculate the coordinates of its own location. Experimental testsprove the localization algorithm has simple calculation, small localization error,strong expansion and a certain degree of innovation and practicality.