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A Simulated Annealing Algorithm for Extended Cell Assignment Problem in a Wireless ATM Network

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Book cover Applications of Evolutionary Computing (EvoWorkshops 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2037))

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Abstract

In this paper, we investigate the extended cell assignment problem which optimally assigns new adding and splitting cells in PCS (Personal Communication Service) to switches in a wireless ATM (Asynchronous Transfer Mode) network. Given cells in a PCS and switches on an ATM network (whose locations are fixed and known), we would like to do the assignment in an attempt to minimize a cost criterion. The cost has two components: one is the cost of handoffs that involve two switches, and the other is the cost of cabling. This problem is modeled as a complex integer programming problem, and finding an optimal solution to this problem is NP-hard. A simulated annealing algorithm are proposed to solve this problem. The simulated annealing algorithm, ESA (enhanced simulated annealing), generates constraint-satisfy configurations, and uses three configuration perturbation schemes to change current configuration to a new one. Experimental results indicate that ESA algorithm has good performances.

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References

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© 2001 Springer-Verlag Berlin Heidelberg

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Din, DR., Tseng, SS. (2001). A Simulated Annealing Algorithm for Extended Cell Assignment Problem in a Wireless ATM Network. In: Boers, E.J.W. (eds) Applications of Evolutionary Computing. EvoWorkshops 2001. Lecture Notes in Computer Science, vol 2037. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45365-2_16

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  • DOI: https://doi.org/10.1007/3-540-45365-2_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41920-4

  • Online ISBN: 978-3-540-45365-9

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