Abstract
Anisotropic networks are characterized by the properties that vary with the direction of measurement. These characteristics are the result of geographic shape of the region, different node densities, irregular radio patterns and anisotropic terrain conditions. We propose a modification to distributed localization of anisotropic sensor networks which uses linear mapping method projecting an embedded space based on proximities into geographic distance space. This paper focuses on extracting regular structures through the distributed clustering scheme and later on carrying out the localization procedure.
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References
Virrankoski, R., Lymberopoulos, D., Savvides, A.: TASC: Topology Adaptive Spatial Clustering for Sensor Networks. IEEE INFOCOM (2005)
Lim, H., Hou, J.C.: Distributed localization for anisotropic sensor networks. ACM Transaction Sensor Networks 5(2), Article 11 (March 2009)
Savvides, A., Park, H., Srivastava, M.B.: The n-hop Multilateration Primitive for Node Localization Problems. Proceedings of Mobile Networks and Applications 8, 443–451 (2003)
Shang, Y., Ruml, W.: Improved MDS-Based Localization. In: Proceedings of IEEE INFOCOM, Hong Kong, March 7-11 (2004)
Jain, A.K., Dubes, R.C.: Algorithms for clustering data. Prentice-Hall, Inc. (1988) isbn = 0-13-022278-X
Ji, X., Zha, H.: Sensor positioning in wireless ad-hoc sensor networks using multidimensional scaling. In: Proceedings of IEEE Infocom (2004)
Shang, Y., Ruml, W., Zhang, Y., Fromherz, M.: Localization from mere connectivity. In: ACM MobiHoc, Annapolis, MD, pp. 201–212 (2003)
He, T., Huang, C., Blum, B.M., Stankovic, J.A., Abdelzaher, T.: Range-free localization schemes for large scale sensor networks. In: Proceedings of ACM International Conference on Mobile Computing and Networking, MobiCom (2003)
Xiao, Q., Xiao, B., Cao, J.: Multihop Range-Free Localization in Anisotropic Wireless Sensor Networks: A Pattern-Driven Scheme. IEEE Transactions on Mobile Computing (2010)
Li, M., Liu, Y.: Rendered Path: Range-Free Localization in Anisotropic Sensor Networks With Holes. IEEE/ACM Transactions on Networking (2010)
Fang, J., Cao, M., Morse, A.S., Anderson, B.D.O.: Sequential Localization of Sensor Networks. SIAM Journal on Control and Optimization (2009)
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M., L.P., Awasthi, L.K. (2012). Distributed Localization for Anisotropic Sensor Networks Using Spatial Clustering. In: Thilagam, P.S., Pais, A.R., Chandrasekaran, K., Balakrishnan, N. (eds) Advanced Computing, Networking and Security. ADCONS 2011. Lecture Notes in Computer Science, vol 7135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29280-4_44
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DOI: https://doi.org/10.1007/978-3-642-29280-4_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29279-8
Online ISBN: 978-3-642-29280-4
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