Research On Triangle Centroid Location Algorithm Based On RSSI

In wireless sensor networks, it is indispensable to derive geographic data of monitoring object?For the events which happen in wireless sensor networks, we can locate the position where the affair is happening through collecting sensor node position, so, in wireless sensor networks, it has important practical significance to locate unknown node through anchor node.In this paper, the triangle centroid localization algorithm based on RSSI is carried on the thorough research, in the process of distance measurement, RSSI Value arise abnormal fluctuations due to the influence of shelter; when the anchor nodes are distributed unevenly, Unknown nodes will arise position deviation, it has an effect on the decrease rate of positioning error; and the algorithm uses centroid algorithm for unknown nodes coordinates, however, there is a defect on the positioning accuracy, in order to improve the decrease rate of positioning error and positioning precision, this paper put forward a outlier eliminating method, which is based on critical value and weighted average, this method optimizes RSSI value and improves the precision of distance measurement; improved algorithm extend approximate point-in-triangulation text, consequently, it not only narrows the node location area but also reduce the unknown node coordinate deviation, when the anchor nodes are distributed unevenly, we can avoid wrong judgment through this way;.on the basis of improved weighted centroid algorithm join the correction coefficient creatively, this method can reduce node positioning error.The improved algorithm which this paper puts forward apply RSSI optimization method?the expansion of approximate point-in-triangulation text?fixed weighted centroid algorithm to triangle centroid localization algorithm, this method can promote decrease rate of positioning error, at the same time, it can reduce average position error.