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- W21080000 abstract "Multiradio wireless mesh networks use mesh routers with multiple radio interfaces to improve network capacity. The attainable network capacity is dependent on how various channels (i.e., frequency bands) are assigned to each radio interface to form a mesh network with minimum interference. The channel assignment must fulfill the constraints that the number of channels assigned to a router is at most the number of interfaces on the router, and the resultant mesh network remains connected. This is a nondeterministic polynomial-time hard (NP-hard) problem. In this chapter, we investigate artificial immune algorithms that use greedy channel assignment to obtain feasible solutions, and use the clonal selection principle to improve the solutions. For practical considerations, small population size and small number of generations are used. By considering different mutation operators and clonal selection algorithms, several variants are evaluated. Through extensive simulations, we show that our proposal outperforms a genetic algorithm, a graph-theoretic algorithm, and a Tabu-based algorithm proposed for the same problem. In addition, the variant developed based on B-cell algorithm (BCA) and using a simple random-swapping mutation operator performs the best." @default.
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- W21080000 date "2015-01-01" @default.
- W21080000 modified "2023-09-27" @default.
- W21080000 title "Clonal-Selection-Based Minimum-Interference Channel Assignment Algorithms for Multiradio Wireless Mesh Networks" @default.
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