Abstract
We study the network localization problem, i.e., the problem of determining node positions of a wireless sensor network modeled as a unit disk graph. In an arbitrarily deployed network, positions of all nodes of the network may not be uniquely determined. It is known that even if the network corresponds to a unique solution, no polynomial-time algorithm can solve this problem in the worst case, unless RP = NP. So we are interested in algorithms that efficiently localize the network partially. A widely used technique that can efficiently localize a uniquely localizable portion of the network is trilateration: starting from three anchors (nodes with known positions), nodes having at least three localized neighbors are sequentially localized. However, the performance of trilateration can substantially differ for different choices of the initial three anchors. In this paper, we propose a distributed localization scheme with a theoretical characterization of nodes that are guaranteed to be localized. In particular, our proposed distributed algorithm starts localization from a strongly interior node and provided that the subgraph induced by the strongly interior nodes is connected, it localizes all nodes of the network except some boundary nodes and isolated weakly interior nodes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Albowicz, J., Chen, A., Zhang, L.: Recursive position estimation in sensor networks. In: 9th International Conference on Network Protocols (ICNP 2001), Riverside, CA, USA, 11–14 November 2001, pp. 35–43. IEEE Computer Society (2001). https://doi.org/10.1109/ICNP.2001.992758
Aspnes, J., Goldenberg, D., Yang, Y.R.: On the computational complexity of sensor network localization. In: Nikoletseas, S.E., Rolim, J.D.P. (eds.) ALGOSENSORS 2004. LNCS, vol. 3121, pp. 32–44. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-27820-7_5
Baggio, A., Langendoen, K.: Monte Carlo localization for mobile wireless sensor networks. Ad Hoc Netw. 6(5), 718–733 (2008). https://doi.org/10.1016/j.adhoc.2007.06.004
Biswas, P., Liang, T.-C., Wang, T.-C., Ye, Y.: Semidefinite programming based algorithms for sensor network localization. ACM Trans. Sens. Netw. 2(2), 188–220 (2006). https://doi.org/10.1145/1149283.1149286
Biswas, P., Toh, K.-C., Ye, Y.: A distributed SDP approach for large-scale noisy anchor-free graph realization with applications to molecular conformation. SIAM J. Sci. Comput. 30(3), 1251–1277 (2008). https://doi.org/10.1137/05062754X
Bose, K., Kundu, M.K., Adhikary, R., Sau, B.: Distributed localization of wireless sensor network using communication wheel. CoRR, abs/2008.00739 (2020). https://arxiv.org/abs/2008.00739
Bulusu, N., Heidemann, J.S., Estrin, D.: GPS-less low-cost outdoor localization for very small devices. IEEE Wirel. Commun. 7(5), 28–34 (2000). https://doi.org/10.1109/98.878533
Chowdhury, T.J.S., Elkin, C., Devabhaktuni, V., Rawat, D.B., Oluoch, J.: Advances on localization techniques for wireless sensor networks: a survey. Comput. Netw. 110, 284–305 (2016). https://doi.org/10.1016/j.comnet.2016.10.006
Eren, T., et al.: Rigidity, computation, and randomization in network localization. In: Proceedings IEEE INFOCOM 2004, the 23rd Annual Joint Conference of the IEEE Computer and Communications Societies, Hong Kong, China, 7–11 March 2004, pp. 2673–2684. IEEE (2004). https://doi.org/10.1109/INFCOM.2004.1354686
Fang, J., Cao, M., Morse, A.S., Anderson, B.D.O.: Sequential localization of sensor networks. SIAM J. Control. Optim. 48(1), 321–350 (2009). https://doi.org/10.1137/070679144
Goldenberg, D.K., et al.: Localization in sparse networks using sweeps. In: Gerla, M., Petrioli, C., Ramjee, R. (eds.) Proceedings of the 12th Annual International Conference on Mobile Computing and Networking, MOBICOM 2006, Los Angeles, CA, USA, 23–29 September 2006, pp. 110–121. ACM (2006). https://doi.org/10.1145/1161089.1161103
Goldenberg, D.K., et al.: Network localization in partially localizable networks. In: INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies, Miami, FL, USA, 13–17 March 2005, pp. 313–326. IEEE (2005). https://doi.org/10.1109/INFCOM.2005.1497902
He, T., Huang, C., Blum, B.M., Stankovic, J.A., Abdelzaher, T.: Range-free localization schemes for large scale sensor networks. In: Johnson, D.B., Joseph, A.D., Vaidya, N.H. (eds.) Proceedings of the Ninth Annual International Conference on Mobile Computing and Networking, MOBICOM 2003, San Diego, CA, USA, 14–19 September 2003, pp. 81–95. ACM (2003). https://doi.org/10.1145/938985.938995
Hendrickson, B.: Conditions for unique graph realizations. SIAM J. Comput. 21(1), 65–84 (1992). https://doi.org/10.1137/0221008
Jackson, B., Jordán, T.: Connected rigidity matroids and unique realizations of graphs. J. Comb. Theory Ser. B 94(1), 1–29 (2005). https://doi.org/10.1016/j.jctb.2004.11.002
Ji, X.: Sensor positioning in wireless ad-hoc sensor networks with multidimensional scaling. In: Proceedings IEEE INFOCOM 2004, the 23rd Annual Joint Conference of the IEEE Computer and Communications Societies, Hong Kong, China, 7–11 March 2004, pp. 2652–2661. IEEE (2004). https://doi.org/10.1109/INFCOM.2004.1354684
Kuhn, F., Wattenhofer, R., Zollinger, A.: Ad hoc networks beyond unit disk graphs. Wirel. Netw. 14(5), 715–729 (2008). https://doi.org/10.1007/s11276-007-0045-6
Lederer, S., Wang, Y., Gao, J.: Connectivity-based localization of large-scale sensor networks with complex shape. ACM Trans. Sens. Netw. 5(4), 31:1–31:32 (2009). https://doi.org/10.1145/1614379.1614383
Liu, Y., Yang, Z., Wang, X., Jian, L.: Location, localization, and localizability. J. Comput. Sci. Technol. 25(2), 274–297 (2010). https://doi.org/10.1007/s11390-010-9324-2
Lynch, N.A.: Distributed Algorithms. Elsevier, Amsterdam (1996)
Mao, G., Fidan, B., Anderson, B.D.O.: Wireless sensor network localization techniques. Comput. Netw. 51(10), 2529–2553 (2007). https://doi.org/10.1016/j.comnet.2006.11.018
Moore, D.C., Leonard, J.J., Rus, D., Teller, S.J.: Robust distributed network localization with noisy range measurements. In: Stankovic, J.A., Arora, A., Govindan, R (eds.) Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, SenSys 2004, Baltimore, MD, USA, 3–5 November 2004, pp. 50–61. ACM (2004). https://doi.org/10.1145/1031495.1031502
Peng, R., Sichitiu, M.L.: Angle of arrival localization for wireless sensor networks. In: Proceedings of the Third Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2006, Reston, VA, USA, 25–28 September 2006, pp. 374–382. IEEE (2006). https://doi.org/10.1109/SAHCN.2006.288442
Sau, B., Mukhopadhyaya, K.: Length-based anchor-free localization in a fully covered sensor network. In: 2009 First International Communication Systems and Networks and Workshops, pp. 1–10, January 2009. https://doi.org/10.1109/COMSNETS.2009.4808851
Savvides, A., Han, C.C., Strivastava, M.B.: Dynamic fine-grained localization in ad-hoc networks of sensors. In: Rose, C. (ed.) MOBICOM 2001, Proceedings of the Seventh Annual International Conference on Mobile Computing and Networking, Rome, Italy, 16–21 July 2001, pp. 166–179. ACM (2001). https://doi.org/10.1145/381677.381693
Saxe, J.B.: Embeddability of weighted graphs in k-space is strongly NP-hard. In: Proceedings of 17th Allerton Conference in Communications, Control and Computing, Monticello, IL, pp. 480–489 (1979)
Shang, Y., Ruml, W.: Improved MDS-based localization. In: Proceedings IEEE INFOCOM 2004, The 23rd Annual Joint Conference of the IEEE Computer and Communications Societies, Hong Kong, China, 7–11 March 2004, pp. 2640–2651. IEEE (2004). https://doi.org/10.1109/INFCOM.2004.1354683
Shang, Y., Ruml, W., Zhang, Y., Fromherz, M.P.: Localization from mere connectivity. In: Proceedings of the 4th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2003, Annapolis, Maryland, USA, 1–3 June 2003, pp. 201–212. ACM (2003). https://doi.org/10.1145/778415.778439
Sorbelli, F.B., Das, S.K., Pinotti, C.M., Silvestri, S.: Range based algorithms for precise localization of terrestrial objects using a drone. Pervasive Mob. Comput. 48, 20–42 (2018). https://doi.org/10.1016/j.pmcj.2018.05.007
Tutte, W.T.: Graph Theory. Cambridge Mathematical Library. Cambridge University Press, Cambridge (2001)
Wang, J., Ghosh, R.K., Das, S.K.: A survey on sensor localization. J. Control Theory Appl. 8(1), 2–11 (2010). https://doi.org/10.1007/s11768-010-9187-7
Whiteley, W.: Some matroids from discrete applied geometry. Contemp. Math. 197, 171–312 (1996)
Yang, Z., Liu, Y., Li, X.-Y.: Beyond trilateration: on the localizability of wireless ad hoc networks. IEEE/ACM Trans. Netw. 18(6), 1806–1814 (2010). https://doi.org/10.1109/TNET.2010.2049578
Acknowledgements
The first author is supported by NBHM, DAE, Govt. of India and the third author is supported by CSIR, Govt. of India. This work was done when the second author was at Jadavpur University, Kolkata, India, supported by UGC, Govt. of India. We would like to thank the anonymous reviewers for their valuable comments which helped us to improve the quality and presentation of the paper.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Bose, K., Kundu, M.K., Adhikary, R., Sau, B. (2020). Distributed Localization of Wireless Sensor Network Using Communication Wheel. In: Pinotti, C.M., Navarra, A., Bagchi, A. (eds) Algorithms for Sensor Systems. ALGOSENSORS 2020. Lecture Notes in Computer Science(), vol 12503. Springer, Cham. https://doi.org/10.1007/978-3-030-62401-9_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-62401-9_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-62400-2
Online ISBN: 978-3-030-62401-9
eBook Packages: Computer ScienceComputer Science (R0)