Abstract
Sensor networks are distributed data collection systems, frequently used for monitoring environments in which “nearby” data has a high degree of correlation. This induces opportunities for data aggregation, that are crucial given the severe energy constraints of the sensors. Thus it is very desirable to take advantage of data correlations in order to avoid transmitting redundancy. In our model, we formalize a notion of correlation, that can vary according to a parameter k. We propose a very simple randomized algorithm for routing information on a grid of sensors in a way which promotes data aggregation. We prove that this simple scheme is a constant factor approximation (in expectation) to the optimum aggregation tree simultaneously for all correlation parameters k.
The key idea of our randomized analysis is to relate the expected collision time of random walks on the grid to scale free aggregation.
Research supported in part by NSF grants CCR-0126347, IIS-0118173, EIA-0137761, and ITR-0331640, NSF Career grants No. 0339262 and No. 0339262, and a SNRC grant.
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References
Bonnet, P., Gehrke, J., Seshadri, P.: Querying the Physical World. IEEE Personal Communications Special Issue on Networking the Physical World (October 2000)
Cristescu, R., Beferull-Lozano, B., Vetterli, M.: On Network Correlated DataGathering. In: IEEE Proceedings of INFOCOM, Hong Kong (2004)
Goel, A., Estrin, D.: Simultaneous optimization for concave costs: single sink aggregation or single source buy-at-bulk. In: Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pp. 499–505 (2003)
Heidemann, J., Silva, F., Intanagonwiwat, C., Govindan, R., Estrin, D., Ganesan, D.: Building Efficient Wireless Sensor Networks with Low-Level Naming. In: Symposium on Operating Systems Principles (2001)
Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: Energy-Ecient Communication Protocol for Wireless Microsensor Networks. In: 33rd Hawaii International Conference on System Sciences, HICSS 2000 (2000)
Intanagonwiwat, C., Estrin, D., Govindan, R., Heidemann, J.: The Impact ofNetwork Density on Data Aggregation in Wireless Sensor Networks. In: ICDCS 2002 (2002)
Intanagonwiwat, C., Govindan, R., Estrin, D., Heidemann, J.S., Silva, F.: Directed diffusion for wireless sensor networking. IEEE/ACM Transactions on Networking 11(1), 2–16 (2003)
Karp, B., Kung, H.T.: GPSR: Greedy Perimeter Stateless Routing for WirelessNetworks. Mobile Computing and Networking, MobiCom (2000)
Krishnamachari, B., Estrin, D., Wicker, S.B.: The Impact of Data Aggregation in Wireless Sensor Networks. In: ICDCS Workshop on Distributed Event-based Systems, DEBS (2002)
Madden, S.R., Franklin, M.J., Hellerstein, J.M., Hong, W.: TAG: a TinyAGgregation Service for Ad-Hoc Sensor Networks. In: Fifth Annual Symposium on Operating Systems Design and Implementation, OSDI (2002)
Madden, S.R., Szewczyk, R., Franklin, M.J., Culler, D.: Supporting Aggregate Queries Over Ad-Hoc Wireless Sensor Networks. In: Fourth IEEE Workshop on Mobile Computing and Systems Applications (2002)
Pattem, S., Krishnmachari, B., Govindan, R.: The Impact of Spatial Correlation on Routing with Compression in Wireless Sensor Networks. In: Symposium on Information Processing in Sensor Networks, IPSN (2004)
Savvides, A., Han, C.C., Strivastava, M.B.: Dynamic Fine-Grained Localization. Ad-Hoc Networks of Sensors, MobiCom (2001)
Scaglione, A., Servetto, S.D.: On the Interdependence of Routing and Data Compression in Multi-Hop Sensor Networks. MobiCom (2002)
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Enachescu, M., Goel, A., Govindan, R., Motwani, R. (2004). Scale Free Aggregation 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_8
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DOI: https://doi.org/10.1007/978-3-540-27820-7_8
Publisher Name: Springer, Berlin, Heidelberg
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