DV-hop based self-adaptive positioning in wireless sensor networks

Authors:
Zhao-yang Zhang;Xu Gou;Ya-peng Li;Shan-shan Huang
Affiliations:
School of Electronics and Information Engineering, Si Chuan University, Cheng Du, Si Chuan, China;School of Electronics and Information Engineering, Si Chuan University, Cheng Du, Si Chuan, China;School of Electronics and Information Engineering, Si Chuan University, Cheng Du, Si Chuan, China;School of Electronics and Information Engineering, Si Chuan University, Cheng Du, Si Chuan, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

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Abstract

Position information of individual node is very useful in Wireless Sensor Network(WSN). In this paper, we proposed two improved DV-Hop algorithms and integrated them reasonably into a self-adaptive positioning algorithm called SAP which includes two modes. Rough-precision mode uses DV-Hop I algorithm and high-precision mode uses DV-Hop II algorithm. In SAP, the first mode saves the energy consumption, the second mode which use RSSI to measure distances between nodes is enabled when target incidents happen, so the algorithm strikes a good balance between positioning accuracy and energy consumption. The simulation results demonstrate that SAP is more efficient in precision and robust than DV-Hop.