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Socionomic Modelling in Wireless Sensor Networks

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EN
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EN
The performance and efficiency of a Wireless Sensor Network (WSN) is typically subject to techniques used in data routing, clustering, and localization. Being primarily driven by resource constraints, a Socionomic model has been formulated to optimize resource usage and boost collaboration among sensor nodes. In this paper, we present several experimental results to ascertain the underlying philosophy of the Socionomic model for improving network lifetime of resource constrained devices - such as, sensor nodes.
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  • Faculty of Engineering, University of Technology, Sydney, Australia
autor
  • Faculty of Engineering, University of Technology, Sydney, Australia
Bibliografia
  • [1] P. Bahl and V. N. Padmanabhan, „RADAR: An In-Building RF-Based User Location and Tracking System”, Proceedings of IEEE Computer and Communications Societies, vol. 2, pp. 775 - 784, March 2000.
  • [2] S. Capkun, M. Hamdi, and J. P. Hubaux, „GPS-Free Positioning in Mobile Ad-Hoc Networks”, in Proceedings of the 34th Annual Hawaii International Conference on System Sciences, January 2001, p. 10.
  • [3] H. C. Chu and R.-H. Jan, „A GPS-Less Positioning Method for Sensor Networks”, The 1st International Workshop on Distributed, Parallel and Network Applications, vol. 2, pp. 629 - 633, July 2005.
  • [4] S. Sinha, „Towards a Socionomic Framework for Collaborative Data Routing in Wireless Sensor Network”, in Doctorate Thesis. Sydney: University of Technology, 2010.
  • [5] D. Niculescu and B. Nath, „Ad-Hoc Positioning System (APS)”, Global Telecommunications Conference, vol. 5, pp. 2926 - 2931, November 2001.
  • [6] W. Kets, The Minority Game: An Economics Perspective. SSRN eLibrary, 2007.
  • [7] J. Deng, Y. S. Han, W. B. Heinzelman, and P. K. Varshney, „Scheduling Sleeping Nodes in High Density Cluster-Based Sensor Networks”, Mobile Networks and Applications, vol. 10, no. 6, pp. 825 - 835, 2005.
  • [8] D. Niculescu and B. Nath, „Ad Hoc Positioning System (APS) Using AOA”, 22th Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 3, pp. 1734 - 1743, 2003.
  • [9] A. K. Naimzada, S. Stefani, and A. Torriero, Networks, Topology and Dynamics: Theory and Applications to Economics and Social Systems. Berlin: Springer-Verlag, 2009.
  • [10] Y.-H. Gau, H.-C. Chu, and R.-H. Jan, A Weighted Multilateration Positioning Method for Wireless Sensor Networks. Taiwan: National Chiao Tung University, 2008.
  • [11] M. Friedman, Essays in Positive Economics. University of Chicago Press, 1996.
  • [12] A. Savvides, C.-C. Han, and M. B. Strivastava, „Dynamic Fine-Grained Localization in Ad-Hoc Networks of Sensors”, in Proceedings of the 7th Annual International Conference on Mobile Computing and Networking, Rome, Italy, 2001.
  • [13] R. Nagpal, H. Shrobe, and J. Bachrach, „Organizing a Global Coordinate System from Local Information on an Ad Hoc Sensor Network”, in Proceedings of the 2nd International Conference on Information Processing in Sensor Networks, 2003.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWAK-0026-0009
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