Abstract
In this work we study energy efficient hybrid sensor network design using mobile sinks, motivated by the practical GreenObs system application. In our model, the movement of mobile sinks is constrained to be on some predefined road-segments. Two different network structures are investigated: the one-hop structure in which each static sensor can be reached by the mobile sink at some stage of the movement, and the multi-hop structure where some sensors need the relay by other sensors to reach the sink. The challenge is to find a movement schedule of mobile sink that will minimize the energy cost while meet other constraints. In this work, we first show that the problem is NP-hard and then design an efficient movement scheme and theoretically prove that the total cost is within a constant factor of the optimum. We further present a scheduling solution using integer program for multi-hop structure, which is near optimal and can be computed in polynomial time. Finally, we conduct extensive study of our method in a real wireless sensor network deployment composed of hundreds of static sensors. Our experiments validate the theoretical findings of our method.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Tang, S., Li, X., Yuan, J., Wang, C., Chen, G., Dai, G.: DREAM: On the Reaction Delay in Large Scale Wireless Networks with Wireless Networks with Mobile Sensors. In: IEEE IWQoS, pp. 1–9 (2010)
Ma, M., Yang, Y.: Data gathering in wireless sensor networks with mobile collectors. In: IPDPS, pp. 1–9 (2008)
Xu, X., Luo, J., Zhang, Q.: Delay tolerant event collection in sensor networks with mobile sink. In: Proceedings of IEEE Infocom (2010)
Juang, P., Oki, H., Wang, Y., Martonosi, M., Peh, L., Rubenstein, D.: Energy-efficient computing for wildlife tracking: Design tradeoffs and early experiences with zebranet. In: Architectural Support for Programming Languages and Operating Systems (2002)
Ma, M., Yang, Y.: SenCar: An energy efficient data gathering mechanism for large scale multihop sensor networks. IEEE Transactions on Parallel and Distributed Systems 18(10) (2007)
Mo, L., He, Y., Liu, Y., Zhao, J., Tang, S., Li, X., Dai, G.: Canopy closure estimates with GreenOrbs: long-term large-scale sensing in the forest. In: ACM SenSys (2009)
Mallinson, M., Drane, P., Hussain, S.: Discrete radio power level consumption model in wireless sensor networks. In: Second International Workshop on Information Fusion and Dissemination in Wireless Sensor Networks (2007)
Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: Energy efficient Communication Protocols for Wireless Microsensor Networks. In: HICSS (2000)
Skiena, S.S.: Traveling salesman problem. In: The Algorithm Design Manual, pp. 319–322. Springer, New York (1997)
Reich, G., Widmayer, P.: Beyond Steiner’s Problem: A VLSI Oriented Generalization. In: Nagl, M. (ed.) WG 1989. LNCS, vol. 411, pp. 196–210. Springer, Heidelberg (1990)
Garg, N., Konjevod, G., Ravi, R.: A polylogarithmic approximation algorithm for the Group Steiner Tree problem. In: Proceedings of SODA, pp. 253–259 (1998)
Cormen, T.H., Leiserson, C.E., Rivest, R.L., Stein, C.: Introduction to algorithms, 2nd edn. The MIT Press (2001)
Lindsey, S., Raghavendra, C., Sivalingam, K.: Data gathering in sensor networks using the energy-delay metric. In: Proc. of IPDPS Workshop on Issues in Wireless Networks and Mobile Computing (2001)
Tang, S., Yuan, J., Li, X., Liu, Y., Chen, G., Gu, M., Zhao, J., Dai, G.: DAWN: Energy efficient data aggregation in WSN with mobile sinks. In: The 18th International Workshop on Quality of Service (IWQoS), pp. 1–9 (2010)
Jea, D., Somasundara, A., Srivastava, M.: Multiple controlled mobile elements (data mules) for data collection in Sensor Networks. In: 2005 IEEE/ACM International Conference on Distributed Computing in Sensor Systems (2005)
Zhao, M., Yang, Y.: Data gathering in wireless sensor networks with multiple mobile collectors and SDMA technique sensor networks. In: IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–6 (2010)
Xing, G., Wang, J., Shen, K., Huang, Q., Jia, X., So, H.C.: Mobility-assisted spatiotemporal detection in wireless sensor networks. In: ICDCS (2008)
Luo, J., Hubaux, J.P.: Joint mobility and routing for lifetime elongation in wireless sensor networks. In: Proc. IEEE INFOCOM (2005)
Basagni, S., Carosi, A., Melachrinoudis, E., Petrioli, C., Wang, Z.M.: Controlled sink mobility for prolonging wireless sensor networks lifetime. Wireless Networks 14(6), 831–858 (2008)
Banerjee, T., Xie, B., Jun, J., Agrawal, D.: Increasing lifetime of wireless sensor networks using controllable mobile cluster heads. Wireless Communications and Mobile Computing 10(3), 313–336 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tao, D., Tang, S., Ma, H. (2012). Low Cost Data Gathering Using Mobile Hybrid Sensor Networks. In: Li, XY., Papavassiliou, S., Ruehrup, S. (eds) Ad-hoc, Mobile, and Wireless Networks. ADHOC-NOW 2012. Lecture Notes in Computer Science, vol 7363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31638-8_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-31638-8_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31637-1
Online ISBN: 978-3-642-31638-8
eBook Packages: Computer ScienceComputer Science (R0)