Abstract
In this study, the problem of quality improvement for sensing models in wireless sensor networks is considered. A choice of sensing model strongly influences design of wireless sensor networks and performance of protocols, such as traffic aggregation, broadcasting, energy efficient routing, target or barrier coverage etc. For these reasons, it is useful to investigate the nature of sensing ability, and the manner in which it depends on the characteristics of wireless sensor networks. The author investigates the impact of experiment design on the evaluation of a sensing quality function. The goal of this work is to provide an approach for the statistically efficient estimation of sensing model parameters.
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References
Chakrabarty, K., Iyengar, S., Qi, H., Cho, E.: Grid coverage for surveillance and target location in distributed sensor networks. IEEE Transactions on Computers 51(12), 1448–1453 (2002)
Dhillon, S., Chakrabarty, K.: Sensor placement for effective coverage and surveillance in distributed sensor networks. In: Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC 2003), New Orleans, pp. 1609–1614 (2003)
Zou, Y., Chakrabarty, K.: Sensor deployment and target localization based on virtual forces. In: Proceedings of the Annual Joint Conference of the Computer and Communications Societies, pp. 1293–1303. IEEE Press (2003)
Lin, Z., Zhang, S., Yan, G.: An incremental deployment algorithm for wireless sensor networks using one or multiple autonomous agents. Ad Hoc Networks 11(1), 355–367 (2013)
Altinel, I., Aras, N., Gney, E., Ersoy, C.: Binary integer programming formulation and heuristics for differentiated coverage in heterogeneous sensor networks. Computer Networks, 2419–2431 (2008)
Yang, Q., He, S., Li, J., Chen, J., Sun, Y.: Energy-Efficient Probabilistic Full Coverage in Wireless Sensor Networks. In: Proceedings of IEEE Globecom, USA, pp. 609–614 (2012)
Megerian, S., Koushanfar, F., Qu, G., Veltri, G., Potkonjak, M.: Exposure in wireless sensor networks: Theory and practical solutions. Wireless Networks 8(5), 443–454 (2002)
Pukelsheim, F.: Optimal Design of Experiments. John Wiley & Sons, Inc., New York (1993)
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Shakhov, V.V. (2013). Experiment Design for Parameter Estimation in Sensing Models. In: Bianchi, G., Lyakhov, A., Khorov, E. (eds) Wireless Access Flexibility. WiFlex 2013. Lecture Notes in Computer Science, vol 8072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39805-6_13
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DOI: https://doi.org/10.1007/978-3-642-39805-6_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39804-9
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