Signal Hunting Algorithm Based On Difference Grouping Mechanism In Sensor Network

In order to solve such problems as the difficult realization of accurate positioning and multidimensional dynamic elastic range measurement and the poor reading of positioning data caches during the range measurement process in wireless sensor network, a wireless sensor network positioning algorithm based on neighbor spin-hop iteration mechanism. Firstly, the neighbor clustering process is executed for the nodes in the wireless sensor network, namely: the first-order neighbor nodes and the second-order neighbor nodes are taken as the network neighborhood. Secondly, other network nodes are positioned according to the rejection and attraction conditions of the neighborhood radius, and meanwhile the iteration mechanism is adopted to realize error minimization so as to obtain the accurate position coordinate of the node. The simulation result shows: compared with currently widely applied two-dimensional non-iterative accurate positioning algorithms, such as RSLM algorithm and SOCP algorithm, the new algorithm is provided with clustering mechanism for accurate positioning and the error correction method based on iteration mechanism, thus to not only effectively reduce the node position error and improve positioning accuracy during multidimensional range measurement, but also improve network packet delivery ratio and reduce network control overhead.