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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Improvement on Localization Error and Adaptability in DV-Hop Algorithm
verfasst von : Ying Zhou, Baojian Gao, Tianzhang Xing, Xiaojiang Chen, Dingyi Fang
Erschienen in: Advances in Wireless Sensor Networks
Verlag: Springer Berlin Heidelberg
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The proliferation of wireless and mobile network has fostered the demand of context aware applications. Location is one of the most basic and significant contexts. An improved DV-HOP localization algorithm based on connectivity of network is proposed in order to decrease the hardware cost and implement in complexity WSN. First of all, by using the weighted least-mean-square error criterion to estimate the network average single hop distance, we can obtain the distance information between any interconnected nodes. Then, the geometric position of the reference nodes affects the localization accuracy; we propose a selective strategy of reference nodes involved in the position calculation process. Finally, based on trusted links to get the location information. The simulation results show that compared with the DV-HOP localization algorithm, the positioning accuracy is improved, and also improves localization performances.