摘要
为解决无线传感器网络中的节点自身定位问题,针对RSSI测距误差大、质心定位算法精度低的问题,提出一种改进质心算法。该算法将RSSI值作为模糊判据,对各个锚节点与移动节点之间的距离进行远近判断,并对锚节点所组成的图形进行更细致的区域划分。利用RSSI值对质心定位算法进行改进。仿真和实际测试都表明,该算法相对于质心算法和三边定位算法提高了定位精度,需要的通信开销小,计算简单,硬件要求低,可广泛应用于实际工程之中。
For solving the localisation of the nodes themselves in wireless sensor networks, we present an improved centroid algorithm to solve the problems of big RSSI ranging error and low accuracy of centroid localisation algorithm. Using the RSSI value as the fuzzy criteri- on, the algorithm makes the judgment on the distances between every anchor node and the movable node, and gives more detailed regional division on the graphics consisted of anchor nodes. The RSSI value is used to improve the centroid localisation algorithm. Actual testing and simulation all show that the positioning accuracy of this algorithm is higher than both the centroid algorithm and the trilateral localisation algorithm. The algorithm can be widely used in practical projects for its less communication overhead, simple calculation and low hardware requirement.
出处
《计算机应用与软件》
CSCD
北大核心
2014年第7期112-115,140,共5页
Computer Applications and Software
关键词
质心定位算法
RSSI
模糊判断
区域划分
Centroid localisation algorithm
RSSI
Fuzzy judgment
Regional division
