Abstract
We focus on data gathering problems in energy-constrained wireless sensor networks. We study store-and-gather problems where data are locally stored on the sensors before the data gathering starts, and continuous sensing and gathering problems that model time critical applications. We show that these problems reduce to maximization of network flow under vertex capacity constraint, which reduces to a standard network flow problem. We develop a distributed and adaptive algorithm to optimize data gathering. This algorithm leads to a simple protocol that coordinates the sensor nodes in the system. Our approach provides a unified framework to study a variety of data gathering problems in sensor networks. The efficiency of the proposed method is illustrated through simulations.
Supported by the National Science Foundation under award No. IIS-0330445 and in part by DARPA under contract F33615-02-2-4005.
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References
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cyirci, E.: Wireless Sensor Networks: A Survey. Computer Networks 38(4), 393–422 (2002)
Cormen, T.H., Leiserson, C.E., Rivest, R.L.: Introduction to Algorithms. MIT Press, Cambridge (1992)
Goldberg, A.V., Tarjan, R.E.: A New Approach to the Maximum Flow Problem. Journal of Association for Computing Machinery 35, 921–940 (1988)
Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy Efficient Communication Protocol forWireless Micro-sensor Networks. In: Proceedings of IEEE Hawaii International Conference on System Sciences (2000)
Hong, B., Prasanna, V.K.: Constrained Flow Optimization with Applications to Data Gathering in Sensor Networks. Technical Report CENG-2004-07, Department of Electrical Engineering, University of Southern California (May 2004), http://www-scf.usc.edu/~bohong/report_may04.ps
Kalpakis, K., Dasgupta, K., Namjoshi, P.: Lifetime Data Gathering and Aggregation inWireless Sensor Networks. In: IEEE Networks 2002 Conference (2002)
Lawler, E.L.: Combinatorial Optimization: Networks and Matroids. Holt, Rinehart and Winston (1976)
Min, R., Furrer, T., Chandrakasan, A.: DynamicVoltage Scaling Techniques for Distributed Microsensor Networks. In: Workshop on VLSI, WVLSI 2000 (2000)
Ordonez, F., Krishnamachari, B.: Optimal Information Extraction in Energy-LimitedWireless Sensor Networks. IEEE Journal on Selected Areas in Communications,special issue on Fundamental Performance Limits of Wireless Sensor Networks (2004)(to appear)
Sadagopan, N., Krishnamachari, B.: Maximizing Data Extraction in Energy-Limited Sensor Networks. In: IEEE Infocom 2004, IEEE, Los Alamitos (2004)
Schurgers, C., Aberthorne, O., Srivastava, M.: Modulation Scaling for Energy Aware Communication Systems. In: International Symposium on Low Power Electronics and Design, pp. 96–99 (2001)
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Hong, B., Prasanna, V.K. (2004). Constrained Flow Optimization with Applications to Data Gathering in Sensor Networks. In: Nikoletseas, S.E., Rolim, J.D.P. (eds) Algorithmic Aspects of Wireless Sensor Networks. ALGOSENSORS 2004. Lecture Notes in Computer Science, vol 3121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27820-7_17
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DOI: https://doi.org/10.1007/978-3-540-27820-7_17
Publisher Name: Springer, Berlin, Heidelberg
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