2019
DOI: 10.1109/access.2019.2924966
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Multi-Radio Multi-Channel Assignment Algorithm in Maritime Wireless Mesh Networks

Abstract: The recent growth in the maritime industry stemming to increase in global commerce as well as searching for hydrocarbons at offshore locations, the high data rate and cost affordable maritime communication is acquired. A mesh network is envisaged for maritime communications because of its expanded coverage, self-healing, and high-capacity. With the development of multi-radio technology, the frequency interference can be decreased sharply with proper channel assignment. The static channel assignment optimizatio… Show more

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Cited by 8 publications
(12 citation statements)
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“…e Multi Radio and Channel Assignment (MRCA) scheme in [15] presents a modified particle swarm optimization technology for a mesh network platform, which is envisaged for maritime communications because of its expanded coverage, self-healing, and high capacity. erefore, wireless mesh networks could be promising architectures for maritime networks.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…e Multi Radio and Channel Assignment (MRCA) scheme in [15] presents a modified particle swarm optimization technology for a mesh network platform, which is envisaged for maritime communications because of its expanded coverage, self-healing, and high capacity. erefore, wireless mesh networks could be promising architectures for maritime networks.…”
Section: Related Workmentioning
confidence: 99%
“…is approach provides a multi-dimensional view of the challenges in maritime data communications while considering system dynamics. Finally, the advantage of the MRCA scheme was demonstrated by comparing the packet delivery ratio with different existing algorithms [15].…”
Section: Related Workmentioning
confidence: 99%
“…In static channel assignment, it is assumed that the network is stationary during the channel assignment process. Examples in this category include greedy assignment [14], genetic algorithm [15], and particle swarm optimization [16]. Greedy assignment in one study [14] attempts to minimize the transmission frame of each channel as a means by which to mitigate co-channel interference.…”
Section: Introductionmentioning
confidence: 99%
“…This algorithm applies a non-dominated sorting genetic algorithm that adopts a chromosome rule and the concept of the Pareto rank to determine the best configuration for each channel. Particle swarm optimization in another study [16] is explored as a channel assignment method that characterizes the nature of group of birds in an effort to eliminate co-channel interference. By establishing the typical location and distance of birds in order to find a food as a reference, channel assignment decisions, i.e., whether to merge channels or not, are determined using the analogy.…”
Section: Introductionmentioning
confidence: 99%
“…The performance degradation of the wireless sensor network happens due to some serious problems like a collision. To avoid transmission collision, transmission scheduling algorithms were proposed in the underwater acoustic sensor network protocol by [8] and the multichannel MAC protocol for Under Water Sensor Network was designed by [9] and challenges discussed in [27]. The performance improvement and the scalability of the network can be obtained by using twotiered hierarchical architecture.…”
Section: Introductionmentioning
confidence: 99%