Abstract : The location information is very crucial for the sensing data in modern agriculture. However, positioning errors and sparse anchors are two key problems that should first be solved for the localization of the sensor nodes. We proposed a novel algorithm to tackle with these challenges. When the system of adjacent anchor distance equations is ill, a minimized-stress search algorithm (MSS) can decrease positioning error greatly. A collaborative sparse-anchored scheme (CSA) has an excellent positioning effect on low density of anchor, specifically on marginal sensor nodes. Our experimental result verified validity and accuracy of the algorithm. It improved feasibility and cost of WSN positioning technique, significantly.
Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-344 (Part I), pp.76-86, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18333-1_11〉
https://hal.inria.fr/hal-01559597
Contributeur : Hal Ifip
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Soumis le : lundi 10 juillet 2017 - 17:28:22
Dernière modification le : mardi 18 juillet 2017 - 15:30:00
Document(s) archivé(s) le : mercredi 24 janvier 2018 - 16:57:00
Chunjiang Zhao, Shufeng Wang, Kaiyi Wang, Zhongqiang Liu, Feng Yang, et al.. A Localization Algorithm for Sparse-Anchored WSN in Agriculture. Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-344 (Part I), pp.76-86, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18333-1_11〉. 〈hal-01559597〉
