Title :
An Empirical Study of DV-Hop Localization Algorithm in Random Sensor Networks
Author :
Wu, Lingfei ; Meng, Max Q H ; Dong, Zhenzhong ; Liang, Huawei
Author_Institution :
Center for Biomimetic Sensing & Control Res., Chinese Acad. of Sci., Hefei, China
Abstract :
Node localization is an important problem for location-dependent applications of wireless sensor networks. Aiming at the positioning problem of wireless sensor networks node location, an improved DV-Hop localization algorithm is proposed in this paper. The proposed method firstly recalculates the hop-size and sends different correction along different directions instead of computing a single correction to be broadcasted into the networks. Then we empirically evaluate the difference between distance estimate and actual distance through a number of simulation experiments statistical results. We find empirical parameter to improve the accuracy of distance estimate. Simulation results show that the performance of the proposed scheme outweighs classical DV-Hop algorithms, especially in lower connectivity.
Keywords :
position control; statistical analysis; wireless sensor networks; DV-Hop localization; distance estimate; empirical parameter; node localization; positioning problem; random sensor networks; statistical results; wireless sensor networks; Biomimetics; Broadcasting; Computational modeling; Computer networks; Intelligent networks; Intelligent robots; Intelligent sensors; Machine intelligence; Robotics and automation; Wireless sensor networks; DV-Hop; Localization; Wireless sensor networks;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.726