Directional Sampling and Refinement Localization Scheme for wireless sensor networks

Wei Cheng, Yong Li, Xipeng Yin

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Location estimation is a fundamental issue for wireless sensor networks (WSNs). In this paper, a directional sampling and refinement localisation scheme for wireless sensor networks is proposed. The algorithm includes two stages. In first stage, sampling is carried out in a directional way, to cover the overlapping area of two anchors' range, and then the initial position estimate of sensor node comes into being after filtering samples. In second stage, normal node further filters successful samples through collaboration to refine the initial position estimate. This work is based on the following principles: Sampling is carried out in a directional way, to cover the overlapping area of two anchors' range, thus the probability that the sampling estimate can hit the real position is increased. Simulation results show that the proposed algorithm achieves better accuracy than Sampling Localization and Refinement (SL-R).

源语言英语
主期刊名Proceedings - 2012 8th International Conference on Computing and Networking Technology (INC, ICCIS and ICMIC), ICCNT 2012
354-357
页数4
出版状态已出版 - 2012
活动2012 8th International Conference on Computing and Networking Technology (INC, ICCIS and ICMIC), ICCNT 2012 - Gyeongju, 韩国
期限: 27 8月 201229 8月 2012

出版系列

姓名Proceedings - 2012 8th International Conference on Computing and Networking Technology (INC, ICCIS and ICMIC), ICCNT 2012

会议

会议2012 8th International Conference on Computing and Networking Technology (INC, ICCIS and ICMIC), ICCNT 2012
国家/地区韩国
Gyeongju
时期27/08/1229/08/12

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