An Improved DV-Hop Algorithm Based on Gaussian Correction Model
Wang Li-bi · 2013
Aiming at the problem that the precision of the DV-Hop algorithm is affected seriously by the nonuniform distribution of nodes,this paper put forward an improved DV-Hop algorithm which is based on Gaussian correction model. In this algorithm,the RSSI was corrected by Gaussian correction model and the each hop was weighted,which effectively reduces the randomness and volatility on the RSSI value and improves the accuracy of measurement. The new algorithm reduces the ranging error which is caused by the nonuniform distribution of nodes. Simulation experimental result shows that the improved localization algorithm has higher precision than DV-Hop and another DV-Hop algorithm.