Browse > Article

Optimal Design of Reporting Cell Location Management System using Ranking Ant Colony System  

Kim, Sung-Soo (Department of Industrial Engineering, Kangwon National University)
Kim, Geun-Bae (Consultant Infromation Business Division, INFORMIA Co., Ltd)
Publication Information
IE interfaces / v.19, no.2, 2006 , pp. 168-173 More about this Journal
Abstract
In the Reporting Cell Location Management (RCLM) system, a subset of cells in the network is designated as the reporting cells. Each mobile terminal performs location update only when it enters one of these reporting cells. When a call arrives, the paging is confined to the reporting cell the user last reported and the neighboring bounded non-reporting cells. Frequent location update may result in degradation of quality of service due to interference. Miss on the location of a mobile terminal will necessitate a search operation on the network when a call comes in. We must decide the number of reporting cells and which cell should be reporting cell to balance the registration (location update) and search (paging) operations to minimize the cost of RCLM system. This paper proposes a ranking ant colony system (RACS) for optimization of RCLM system.
Keywords
ranking ant colony system (RACS); reporting cell location management (RCLM);
Citations & Related Records
연도 인용수 순위
  • Reference
1 Subrata, R. and Zomaya, A. Y.(2003), A comparison of three artificial life techniques for reporting cell planning in Mobile Computing, IEEE Trans. Parallel and Dislributed Systems, 14(2), pp. 142-153   DOI   ScienceOn
2 Bar, N. A. and Kessler, I.(1993), Tracking mobile users in wireless communications networks, IEEE Trans. Information Theory, 39, pp. 1877-1886   DOI   ScienceOn
3 Zomaya, A. Y, Haydock, M., and Olariu(2002), Some observations on using meta-heuristics for efficient location management in mobile computing networks, Journal of Parallel and Distributed Computing
4 Madhow, U., Honig, M.L and Steiglitz, K.(1995), Optimization of wireless resources for personal communications mobility tracking, IEEE/ACM Trans. Networking, 3(6), pp. 698-707   DOI   ScienceOn
5 Li,J., Kameda, H. and Li, K(2000), Optimal dynamic mobility management for PCS networks, lEEE/ACM Trans. Networking, 8(3), pp. 319-327   DOI   ScienceOn
6 Dorigo, M. and Stutzle T.(2004), The Ant Colony Oprimization, A Bradford Book, The MIT Press, Cambridge, Massachusetts, London, England
7 Hac, A. and Zhou, S.(1997), Locating strategies for personal communication networks: A novel tracking strategy, IEEE J. Selected Areas in Comm ., 15, pp. 1425-1436   DOI   ScienceOn
8 Dorigo, M., Maniezzo, V. and Colorni, A.,(1996), Ant System: Optimization by a Colony of Cooperating Agents, IEEE Trans. on Systems, Man, and Cybernetics-Part B: Cybernetics, 26(1), Feb., 29-41   DOI   ScienceOn
9 Dorigo, M., Gambardella, L. M.(1997), Ant Colony System: A Cooperative Learning Approach to the Travaling Salesman Problem, IEEE Trans. on Evolutionary Computation, 1, 53-66   DOI   ScienceOn
10 Dorigo, M. and Srutzle T.(2001), The Ant Colony Optimization Metaheuristic: Algorithms, Applications, and Advances, Metaheuristics Handbook, Glover and Kochenberger (Eds.), international Series in Operations Research and Management Science, Kluwer
11 Subrata, R. and Zomaya, A. Y.(2003), Evolving cellular automata for location management in mobile computing networks, IEEE Trans. Parallel and Distributed Systems, 14(1), pp. 13-26   DOI   ScienceOn
12 Sim, S. M. and Sun, W. H.(2003), Ant colony optimization for routing and load-balancing: survey and new directions, Systems, Man and Cybernetics, Part A, IEEE Trans.on, 33(5), 560 - 572