Abstract: A lot of key problems need to be studied and solved in the field of WSN, and node self-localization is one of them. In numerous localization algorithms,DV-hop is popular with discussion or referenced localization algorithm,but it takes the results of hops multiplied by network average j umps as the actual distance between the nodes, while the accuracy of calculating the average every hop distance, the character of network, the node density, topology structure, etc are major factors which influence the positioning accuracy of DV-Hop algorithm. We put forward an improved DV-Hop algorithm,area division based semi auto DV-Hop localization algorithm (ADBSA DV-Hop). Several ideas were employed to improve DV-Hop, including semi-auto average size of per hop acquirement, area division, and sticking to border. ADBSA DV-Hop was simulated on MATLAI3 platform, to compare with DV-Hop. Experiment indictes that ADBSA DV Hop performs better than DV-Hop, and competently meets the localization rectuirement of sticking to border.

Key words: WSN, Nodc localization, ADBSA DV-Hop, Semi auto, Area division