2017 International Conference on Intelligent Sustainable Systems (ICISS) 2017
DOI: 10.1109/iss1.2017.8389234
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A study on channel assignment algorithms for multi-channel multi-radio wireless mesh networks

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Cited by 5 publications
(3 citation statements)
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“…A wide different approach are proposed for channel allocation for multi radio and multi-channel allocation in the WMN literature. Our previous contribution [41] presents the detailed study of various algorithms of channel assignment under different classification schemes. Another study on channel assignment schemes for WMN is presented in [30].…”
Section: Related Workmentioning
confidence: 99%
“…A wide different approach are proposed for channel allocation for multi radio and multi-channel allocation in the WMN literature. Our previous contribution [41] presents the detailed study of various algorithms of channel assignment under different classification schemes. Another study on channel assignment schemes for WMN is presented in [30].…”
Section: Related Workmentioning
confidence: 99%
“…The proposed algorithm can be formulated using a mathematical LP problem and they showed that it was very effective for load balancing compared to the simple adoption of IEEE 802.11s (a standard TDMA protocol in WMNs). Other researchers in [24] proposed a new method of channel selection in multi-radio multi-channel WMNs to improve the user performance in downlink direction of Internet traffic. However, the cross-layer method used in the literature [12][13][14][15][16][17], [25] and [26] does not consider the development of IEEE 802.11n/ac MAC and PHY in determining the choice of data rate, nor the best route to produce optimal throughput in IEEE 802.11s WMNs.…”
Section: Related Workmentioning
confidence: 99%
“…The previous solutions of channel assignment problem in WMN must be studied in a structured way by following the classification of channel selection algorithms in the literature. Our previous work [21] presents a detailed study on channel assignment algorithms in the literature.…”
Section: Relevant Literaturementioning
confidence: 99%