Abstract
Traditional deployments of wireless sensor networks (WSNs) rely on static basestations to collect data. For applications with highly spatio-temporal and dynamic data generation, such as tracking and detection applications, static basestations suffer from communication bottlenecks and long routes, which cause reliability and lifetime to plummet. To address this problem, we propose a holistic solution where the synergy of the WSN and the mobile basestation improves the reliability and lifetime of data collection. The WSN component of our solution is a lightweight dynamic routing tree maintenance protocol which tracks the location of the basestation to provide an always connected network. The mobile basestation component of our solution complements the dynamic tree reconfiguration protocol by trailing towards the data generation, and hence, reducing the number of hops the data needs to travel to the basestation. While both protocols are simple and lightweight, combined they lead to significant improvements in the reliability and lifetime of data collection. We provide an analytical discussion of our solution along with extensive simulations.
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References
Arora, A., et al.: Exscal: Elements of an extreme scale wireless sensor network. In: RTCSA (2005)
Azad, A., Chockalingam, A.: Mobile base stations placement and energy aware routing in wireless sensor networks. In: WCNC, vol. 1, pp. 264–269 (April 2006)
Basagni, S., Carosi, A., Melachrinoudis, E., Petrioli, C., Wang, Z.M.: Controlled sink mobility for prolonging wireless sensor networks lifetime. Wirel. Netw. 14(6), 831–858 (2008)
Basagni, S., Carosi, A., Petrioli, C.: Heuristics for lifetime maximization in wireless sensor networks with multiple mobile sinks. In: IEEE International Conference on Communications, ICC 2009, June 2009, pp. 1–6 (2009)
Batalin, M., et al.: Call and response: experiments in sampling the environment. In: SenSys 2004, pp. 25–38 (2004)
Demirbas, M., Soysal, O., Tosun, A.S.: Data salmon: A greedy mobile basestation protocol for efficient data collection in wireless sensor networks. In: Aspnes, J., Scheideler, C., Arora, A., Madden, S. (eds.) DCOSS 2007. LNCS, vol. 4549, pp. 267–280. Springer, Heidelberg (2007)
Arora, A., et al.: A line in the sand: A wireless sensor network for target detection, classification and tracking. Computer Networks 46(5), 605–634 (2004)
Gandham, S., Dawande, M., Prakash, R., Venkatesan, S.: Energy efficient schemes for wireless sensor networks with multiple mobile base stations. In: GLOBECOM, vol. 1, pp. 377–381 (December 2003)
Gu, Y., Bozdag, D., Ekici, E., Ozguner, F., Lee, C.: Partitioning based mobile element scheduling in wireless sensor networks. In: SECON, pp. 386–395 (2005)
jen Hsu, W., Spyropoulos, T., Psounis, K., Helmy, A.: Modeling time-variant user mobility in wireless mobile networks. In: INFOCOM, pp. 758–766 (2007)
Luo, J., Hubaux, J.-P.: Joint mobility and routing for lifetime elongation in wireless sensor networks. In: INFOCOM, vol. 3, pp. 1735–1746 (2005)
Polastre, J., Hill, J., Culler, D.: Versatile low power media access for wireless sensor networks. In: SenSys, pp. 95–107 (2004)
Shah, R.C., Roy, S., Jain, S., Brunette, W.: Data mules: modeling a three-tier architecture for sparse sensor networks. In: WSNPA, pp. 30–41 (2003)
Simon, G., Volgyesi, P., Maroti, M., Ledeczi, A.: Simulation-based optimization of communication protocols for large-scale wireless sensor networks. In: IEEE Aerospace Conference, pp. 255–267 (March 2003)
Somasundara, A., Ramamoorthy, A., Srivastava, M.: Mobile element scheduling for efficient data collection in wireless sensor networks with dynamic deadlines. In: RTSS, pp. 296–305 (2004)
Szewczyk, R., Mainwaring, A., Polastre, J., Culler, D.: An analysis of a large scale habitat monitoring application. In: SenSys (2004)
Zhang, W., Cao, G.: Dctc: Dynamic convoy tree-based collaboration for target tracking in sensor networks. IEEE Transactions on Wireless Communication 3(5), 1689–1701 (2004)
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Soysal, O., Demirbas, M. (2010). Data Spider: A Resilient Mobile Basestation Protocol for Efficient Data Collection in Wireless Sensor Networks. In: Rajaraman, R., Moscibroda, T., Dunkels, A., Scaglione, A. (eds) Distributed Computing in Sensor Systems. DCOSS 2010. Lecture Notes in Computer Science, vol 6131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13651-1_28
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DOI: https://doi.org/10.1007/978-3-642-13651-1_28
Publisher Name: Springer, Berlin, Heidelberg
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