The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.11 - November (2010 vol.9)
pp: 1592-1607
Qingjun Xiao , Hong Kong Polytechnic University, Hong Kong, China
Bin Xiao , Hong Kong Polytechnic University, Hong Kong, China
Jiannong Cao , Hong Kong Polytechnic University, Hong Kong, China
Jianping Wang , City University of Hong Kong, Hong Kong, China
ABSTRACT
This paper focuses on multihop range-free localization in anisotropic wireless sensor networks. In anisotropic networks, geometric distance between a pair of sensor nodes is not always proportional to their hop count distance, which undermines the assumption of many existing range-free localization algorithms. To tolerate network anisotropy, we propose a pattern-driven localization scheme, which is inspired by the observation that in an anisotropic network the hop count field propagated from an anchor exhibits multiple patterns, under the interference of multiple anisotropic factors. Our localization scheme therefore for different patterns adopts different anchor-sensor distance estimation algorithms. The average anchor-sensor distance estimation accuracy of our scheme, as demonstrated by both theoretical analysis and extensive simulations, is improved to be better than \schmi{ 0.4r} when the average sensor density is above eight, and the sensor localization accuracy thus is approximately better than \schmi{0.5r}. This localization accuracy can satisfy the needs of many location-dependent protocols and applications, including geographical routing and tracking. Compared with previous localization algorithms that declares to tolerate network anisotropy, our localization scheme excels in 1) higher accuracy stemming from its ability to tolerate multiple anisotropic factors, including the existence of obstacles, sparse and nonuniform sensor distribution, irregular radio propagation pattern, and anisotropic terrain condition, 2) localization accuracy guaranteed by theoretical analysis, rather than merely by simulations, and 3) a distributed solution with less communication overhead and enhanced robustness to different network topologies.
INDEX TERMS
Wireless sensor networks, range-free localization, anisotropic networks.
CITATION
Qingjun Xiao, Bin Xiao, Jiannong Cao, Jianping Wang, "Multihop Range-Free Localization in Anisotropic Wireless Sensor Networks: A Pattern-Driven Scheme", IEEE Transactions on Mobile Computing, vol.9, no. 11, pp. 1592-1607, November 2010, doi:10.1109/TMC.2010.129
REFERENCES
[1] Y. Shang, W. Ruml, Y. Zhang, and M.P.J. Fromherz, "Localization from Mere Connectivity," Proc. ACM MobiHoc, 2003.
[2] D. Niculescu and B. Nath, "DV Based Positioning in Ad Hoc Networks," Telecomm. Systems, vol. 22, pp. 267-280, 2003.
[3] R. Nagpal, H. Shrobe, and J. Bachrach, "Organizing a Global Coordinate System from Local Information on an Ad Hoc Sensor Network," Proc. Second ACM/IEEE Int'l Conf. Information Processing in Sensor Networks (IPSN), 2003.
[4] T. He, C. Huang, B.M. Blum, J.A. Stankovic, and T. Abdelzaher, "Range-Free Localization Schemes for Large Scale Sensor Networks," Proc. ACM MobiCom, pp. 81-95, 2003.
[5] B. Xiao, H. Chen, and S. Zhou, "Distributed Localization Using a Moving Beacon in Wireless Sensor Networks," IEEE Trans. Parallel and Distributed Systems, vol. 19, no. 5, pp. 587-600, May 2008.
[6] B. Xiao, L. Chen, Q. Xiao, and M. Li, "Reliable Anchor-Based Sensor Localization in Irregular Areas," IEEE Trans. Mobile Computing, vol. 9, no. 1, pp. 60-72, Jan. 2010.
[7] A. Savvides, C.-C. Han, and M.B. Strivastava, "Dynamic Fine-Grained Localization in Ad-Hoc Networks of Sensors," Proc. ACM MobiCom, pp. 166-179, 2001.
[8] Y. Shang and W. Ruml, "Improved MDS-Based Localization," Proc. IEEE INFOCOM, pp. 2640-2651, 2004.
[9] M. Li and Y. Liu, "Rendered Path: Range-Free Localization in Anisotropic Sensor Networks with Holes," Proc. ACM MobiCom, 2007.
[10] H. Lim and J.C. Hou, "Localization for Anisotropic Sensor Networks," Proc. IEEE INFOCOM, pp. 138-149, 2005.
[11] C. Wang and L. Xiao, "Locating Sensors in Concave Areas," Proc. IEEE INFOCOM, pp. 1-12, 2006.
[12] W.H. Foy, "Position-Location Solutions by Taylor-Series Estimation," IEEE Trans. Aerospace and Electronic Systems, vol. 12, no. 2 pp. 187-194, Mar. 1976.
[13] A. Savvides, W.L. Garber, S. Adlakha, R.L. Moses, and M.B. Srivastava, "On the Error Characteristics of Multihop Node Localization in Ad-Hoc Sensor Networks," Proc. Second ACM/IEEE Int'l Conf. Information Processing in Sensor Networks (IPSN), 2003.
[14] X. Ji and H. Zha, "Sensor Positioning in Wireless Ad-Hoc Sensor Networks Using Multidimensional Scaling," Proc. IEEE INFOCOM, 2004.
[15] D. Liu, P. Ning, and W.K. Du, "Attack-Resistant Location Estimation in Sensor Networks," Proc. Fourth ACM/IEEE Int'l Conf. Information Processing in Sensor Networks (IPSN), pp. 99-106, 2005.
[16] L. Kleinrock and J. Silvester, "Optimum Transmission Radii for Packet Radio Networks or Why Six Is a Magic Number," Proc. Nat'l Telecomm. Conf., pp. 431-435, 1978.
[17] R. Stoleru, T. He, and J.A. Stankovic, "Range-Free Localization," Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks, vol. 30, pp. 3-31, Springer, 2007.
[18] L. Meertens and S. Fitzpatrick, "The Distributed Construction of a Global Coordinate System in a Network of Static Computational Nodes from Inter-Node Distances," Kestrel Inst. Technical Report KES.U.04.04, 2004.
32 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool