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.
Chapter PDF
Similar content being viewed by others
References
Hautefeuille, M., O’Mahony, C., O’Flynn, B., Khalfi, K., Peters, F.: A MEMS-based wireless multisensor module for environmental monitoring. Microelectronics Reliability 48(6), 906–910 (2008)
Mariño, P., Fontán, F.P., Domínguez, M.A., Otero, S.: Viticulture zoning by an experimental WSN. International Journal of Information Technology and Web Engineering 4(1), 14–30 (2009)
O’Shaughnessy, S.A., Evett, S.R.: Developing wireless sensor networks for monitoring crop canopy temperature using a moving sprinkler system as a platform. Applied Engineering in Agriculture 26(2), 331–341 (2010)
Matese, A., Di Gennaro, S.F., Zaldei, A., Genesio, L., Vaccari, F.P.: A wireless sensor network for precision viticulture: The NAV system. Computers and Electronics in Agriculture 69(1), 51–58 (2009)
Siuli Roy, A.D., Bandyopadhyay, S.: Agro-sense: precision agriculture using sensor-based wireless mesh networks. In: Proceedings of the First ITU-T Kaleidoscope Academic Conference. Innovations in NGN. Future Network and Services, pp. 383–387 (2008)
Heraud, J.A., Lange, A.F.: Agricultural Automatic Vehicle Guidance from Horses to GPS: How We Got Here, and Where We are Going. ASABE Distinguished Lecture Series, pp. 1–67 (2009)
Yuan, L., Choi, L., Chin, F.: Construction of local anchor map for indoor position measurement system Zhou. IEEE Transactions on Instrumentation and Measurement 59(7), 1986–1988 (2010)
Savvides, A., Han, C.-C., Srivastava, M.B.: Dynamic fine-grained localization in ad-hoc networks of sensors. In: Proc. of the 7th Annual Int’l Conf. on Mobile Computing and Networking, pp. 166–179. ACM Press, Rome (2001)
Greene, W.: Econometric Analysis, 3rd edn. Prentice-Hall, Englewood Cliffs (1997)
Wang, F.-B., Shi, L., Ren, F.-Y.: Self-localization systems and algorithms for wireless sensor networks. Ruan Jian Xue Bao/Journal of Software 16(5), 857–868 (2005)
Savvides, A., Park, H., Srivastava, M.B.: The bits and flops of the n-hop multilateration primitive for node localization problems. In: Proceedings of the ACM International Workshop on Wireless Sensor Networks and Applications, pp. 112–121 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 IFIP International Federation for Information Processing
About this paper
Cite this paper
Zhao, C., Wang, S., Wang, K., Liu, Z., Yang, F., Zhang, X. (2011). A Localization Algorithm for Sparse-Anchored WSN in Agriculture. In: Li, D., Liu, Y., Chen, Y. (eds) Computer and Computing Technologies in Agriculture IV. CCTA 2010. IFIP Advances in Information and Communication Technology, vol 344. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18333-1_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-18333-1_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-18332-4
Online ISBN: 978-3-642-18333-1
eBook Packages: Computer ScienceComputer Science (R0)