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Bi-criteria Gateway Placement Problem in Wireless Sensor Networks

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EN
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Over the last few years, wireless sensor networks (WSNs) have started to play more and more important role in civil and military applications. A typical sensor network consists of resource-constrained sensing nodes, which monitor environment and send the data to more powerful gateway nodes. The goal of gateway nodes is to aggregate, process and send the data to other gateways or directly to sink nodes. The proper placement of nodes is needed to provide good network operation. Sensing nodes are often placed in a random manner unlike gateways. Gateways, due to their role and cost, are installed rather in a controlled way. In this paper, a bi-criteria gateway placement problem is introduced. The problem is shown to be NP-hard. We formulate it as a linear programming problem, then we develop the Multi-criteria Simulated Allocation (MSAL) heuristic algorithm, for the purpose of cost-effective gateway deployment and power-effective wireless connection management. Finally, we evaluate the efficiency of the algorithm by comparison with the exact method.
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Bibliografia
  • [1] K. Akkaya, M. Younis, “COLA: a coverage and latency aware actor placement for wireless sensor and actor networks,” in Proc. of the IEEE Vehicular Technology Conference, Montreal, 2006, pp. 1-6.
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  • [5] M. Czajko, J. Wojciechowski, “MGRASP and MSAL algorithms for centralized traffic management of large wireless sensor networks”, in Proc. of Evolutionary Computation and Global Optimization, Zawoja, 2009, pp. 43-50.
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  • [7] P. Gajowniczek, “Design of telecommunication networks by Simulated Allocation,” Ph.D. dissertation, Institute of Telecommunication, Warsaw University of Technology, Warsaw, Poland, 2001.
  • [8] S. R. Gandham, M. Dawande, R. Prakash, S. Venkatesan, “Energy efficient schemes for wireless sensor networks with multiple mobile base stations,” in Proc. of the IEEE Global Telecommunications Conference, San Francisco, 2003, pp. 377-381.
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  • [11] E. I. Oyman, C. Ersoy, “Multiple sink network design problem in large scale wireless sensor networks,” in Proc. of the IEEE International Conference on Communications, Paris, 2004, pp. 3663-3667.
  • [12] M. Pióro, D. Medhi, Routing, flow, and capacity design in communication and computer networks. San Francisco: Morgan Publishers, 2004.
  • [13] W. Youssef, M. Younis, “Intelligent estimation of gateways count for reduced data latency in wireless sensor networks,” in Proc. of the IEEE Global Telecommunications Conference, Washington, 2007, pp. 903-907.
  • [14] W. Youssef, M. Younis, “Intelligent gateways placement for reduced data latency in wireless sensor networks,” in Proc. of the IEEE International Conference on Communications, Glasgow, 2007, pp. 3805-3810.
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-article-BWA0-0046-0002
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