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Dynamic Beacon Mobility Scheduling for Sensor Localization
Aug. 2012 (vol. 23 no. 8)
pp. 1439-1452
Xu Li, Inira Lille—Nord Europe, Villeneuve d'Ascq
Nathalie Mitton, Inira Lille—Nord Europe, Villeneuve d'Ascq
Isabelle Simplot-Ryl, Inira Lille—Nord Europe, Villeneuve d'Ascq
David Simplot-Ryl, Inira Lille—Nord Europe, Villeneuve d'Ascq
In mobile-beacon assisted sensor localization, beacon mobility scheduling aims to determine the best beacon trajectory so that each sensor receives sufficient beacon signals and becomes localized with minimum delay. We propose a novel DeteRministic dynamic bEAcon Mobility Scheduling (DREAMS) algorithm, without requiring any prior knowledge of the sensory field. In this algorithm, the beacon trajectory is defined as the track of Depth-First Traversal (DFT) of the network graph, thus deterministic. The mobile beacon performs DFT dynamically, under the instruction of nearby sensors on the fly. It moves from sensor to sensor in an intelligent heuristic manner according to Received Signal Strength (RSS)-based distance measurements. We prove that DREAMS guarantees full localization (every sensor is localized) when the measurements are noise-free, and derive the upper bound of beacon total moving distance in this case. Then, we suggest to apply node elimination and Local Minimum Spanning Tree (LMST) to shorten beacon tour and reduce delay. Further, we extend DREAMS to multibeacon scenarios. Beacons with different coordinate systems compete for localizing sensors. Loser beacons agree on winner beacons' coordinate system, and become cooperative in subsequent localization. All sensors are finally localized in a commonly agreed coordinate systems. Through simulation we show that DREAMS guarantees full localization even with noisy distance measurements. We evaluate its performance on localization delay and communication overhead in comparison with a previously proposed static path-based scheduling method.

[1] B. Awerbuch, "Optimal Distributed Algorithms for Minimum Weight Spanning Tree, Counting, Leader Election, and Related Problems," Proc. 19th Ann. ACM Symp. Theory of Computing ACM (STOC), pp. 230-240, 1987.
[2] F. Caballero, L. Merino, I. Maza, and A. Ollero, "A Particle Filtering Method for Wireless Sensor Network Localization with an Aerial Robot Beacon," Proc. IEEE Int'l Conf. Robotics and Automation (ICRA), pp. 596-601, 2008.
[3] R.G. Gallager, P.A. Humblet, and P.M. Spira, "A Distributed Algorithm for Minimum-Weight Spanning Trees," ACM Trans. Programming Languages and Systems (TOPLAS), vol. 5, no. 1, pp. 66-77, 1983.
[4] T.H. Cormen, C.E. Leiserson, R.L. Rivest, and C. Stein, Introduction to Algorithms. The MIT Press, 2002.
[5] DoD, "GPS Anti-Jam Protection," http://defense-update.com/ products/ggps-aj.htm , 2011.
[6] R. Huang and G.V. Zaruba, "Monte Carlo Localization of Wireless Sensor Networks with a Single Mobile Beacon," Wireless Networks, vol. 15, no. 8, pp. 978-990, 2009.
[7] S. Kanchi and C. Wu, "Robot Assisted Localization of Sensor Networks Guided by Rigidity," Proc. Fourth Ann. Int'l Conf. Wireless Internet (WICON), 2008.
[8] K. Kim and W. Lee, "MBAL: A Mobile Beacon-Assisted Localization Scheme for Wireless Sensor Networks," Proc. 16th Int'l Conf. Computer Comm. and Networks (ICCCN), pp. 57-62, 2007.
[9] M. Kushwaha, K. Molnar, J. Sallai, P. Volgyesi, M. Maroti, and A. Ledeczi, "Sensor Node Localization Using Mobile Acoustic Beacons," Proc. IEEE Int'l Mobile Adhoc and Sensor Systems Conf. (MASS), 2005.
[10] N. Li, J. Hou, and L. Sha, "Design and Analysis of an MST-Based Topology Control Algorithm," IEEE Trans. Wireless Comm., vol. 4, no. 3, pp. 1195-1206, May 2005.
[11] X. Li, N. Mitton, I. Simplot-Ryl, and D. Simplot-Ryl, "Mobile-Beacon Assisted Sensor Localization with Dynamic Beacon Mobility Scheduling," Proc. IEEE Eight Int'l Mobile Adhoc and Sensor Systems (MASS), pp. 490-499, 2011.
[12] P.N. Pathirana, N. Bulusu, A.V. Savkin, and S. Jha, "Node Localization Using Mobile Robots in Delay-Tolerant Sensor Networks," IEEE Trans. Mobile Computing, vol. 4, no. 3, pp. 285-295, May/June 2005.
[13] N.B. Priyantha, H. Balackrishnan, E. Demaine, and S. Teller, "Mobile-Assisted Localization in Wireless Sensor Networks," Proc. IEEE INFOCOM, 2005.
[14] M. Sichitiu and V. Ramadurai, "Localization of Wireless Sensor Networks with a Mobile Beacon," Proc. IEEE Int'l Conf. Mobile Adhoc and Sensor Systems (MASS), 2004.
[15] G. Teng, K. Zheng, and W. Dong, "Adapting Mobile Beacon-Assisted Localization in Wireless Sensor Networks," Sensors, vol. 9, no. 4, pp. 2760-2779, 2009.
[16] J. Wang, R.K. Ghosh, and S.K. Das, "A Survey on Sensor Localization," J. Control Theory and Applications, vol. 8, no. 1, pp. 2-11, 2010.
[17] H.H. Xia, "A Simplified Analytical Model for Predicting Path Loss in Urban and Suburban Environments," IEEE Trans. Vehicular Technology, vol. 46, no. 4, pp. 1040-1046, Nov. 1997.
[18] B. Xiao, H. Chen, and S. Zhou, "A Walking Beacon-Assisted Localization in Wireless Sensor Networks," Proc. IEEE Int'l Conf. Comm. (ICC), 2007.
[19] L. Zhang, Q. Cheng, Y. Wang, and S. Zeadally, "A Novel Distributed Sensor Positioning System Using the Dual of Target Tracking," IEEE Trans. Computers, vol. 57, no. 2, pp. 246-260, Feb. 2008.
[20] J. Chen, W. Xu, S. He, Y. Sun, P. Thulasiramanz, and X. Shen, "Utility-Based Asynchronous Flow Control Algorithm for Wireless Sensor Networks," IEEE J. Selected Areas in Comm., vol. 28, no. 7, pp. 1116-1126, Sept. 2010.
[21] S. He, J. Chen, Y. Sun, D.K.Y. Yau, and N.K. Yip, "On Optimal Information Capture by Energy-Constrained Mobile Sensors," IEEE Trans. Vehicular Technology, vol. 59, no. 5, pp. 2472-2484, June 2010.
[22] R. Huang and G.V. Zaruba, "Static Path Planning for Mobile Beacons to Localize Sensor Networks," Proc. IEEE Fifth Int'l Conf. Pervasive Computing and Comm. Workshops (Percomw '07), pp. 323-330, 2007.
[23] D. Koutsonikolas, S.M. Das, and Y.C. Hu, "Path Planning of Mobile Landmarks for Localization in Wireless Sensor Networks," Computer Comm., vol. 30, no. 13, pp. 2577-2592, 2007.

Index Terms:
Sensor localization, mobile beacon, mobility management, wireless sensor networks.
Citation:
Xu Li, Nathalie Mitton, Isabelle Simplot-Ryl, David Simplot-Ryl, "Dynamic Beacon Mobility Scheduling for Sensor Localization," IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 8, pp. 1439-1452, Aug. 2012, doi:10.1109/TPDS.2011.267
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