Intra- and inter-cluster link scheduling in CUPS-based ad hoc networks
Autor: | M. Levent Eksert, Ertan Onur, Hamdullah Yücel |
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Rok vydání: | 2021 |
Předmět: |
Optimization problem
Job shop scheduling Computer Networks and Communications Computer science Wireless ad hoc network Distributed computing 020206 networking & telecommunications 02 engineering and technology Network topology Scheduling (computing) Scalability 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Cluster analysis |
Zdroj: | Computer Networks. 185:107659 |
ISSN: | 1389-1286 |
DOI: | 10.1016/j.comnet.2020.107659 |
Popis: | While control and user (data) plane separation (CUPS) through clustering improves the scalability of ad hoc networks in comparison to flat topologies, it introduces additional challenges for resource scheduling when contention-free medium access is employed. This paper addresses intra- and inter-cluster link scheduling problem in multi-channel ad hoc networks employing CUPS architecture. We first describe the CUPS architecture. Then, we present a novel intra- and inter-cluster link scheduling mechanism over the CUPS architecture. We propose a link scheduling strategy that is responsive to instant communication demands and available resources as a non-linear optimization problem, which is then reduced to a linear form by eliminating non-linearities in order to simplify the problem definition and enhance optimizer performance. The results of the optimizer show that the run time cost of the optimization function drastically increases by the parameter size growth. Therefore, we propose an iterative solution to decrease the running time. The adaptation of the iterative history-based approach makes the solution feasible and ensures near-optimal satisfaction and efficiency. |
Databáze: | OpenAIRE |
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