A survey on multi-channel communication in wireless sensor networks

İncel, Özlem Durmaz

doi:10.1016/j.comnet.2011.05.020

Cited by 119 publications

(66 citation statements)

References 43 publications

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“…The survey papers on channel assignment problem presented in [99], [100] cover multi-channel assignment protocols and discuss multi-channel communication in wireless sensor networks (WSNs), respectively. The works present a taxonomy of channel assignment algorithms for WSNs, thereafter, the authors compare the channel assignment protocols for WSN based on the proposed taxonomy.…”

Section: Comparison Of Surveys On Channel Assignment Problem In mentioning

confidence: 99%

Channel Assignment Algorithms in Cognitive Radio Networks: Taxonomy, Open Issues, and Challenges

Ahmed

Gani

Abolfazli

et al. 2016

IEEE Commun. Surv. Tutorials

151

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Abstract-The cognitive radio is an emerging technology that enables dynamic spectrum access in wireless networks. The cognitive radio is capable of opportunistically using the available portions of a licensed spectrum to improve the application performance for unlicensed users. The opportunistic use of the available channels in the wireless environment requires dynamic channel assignment to efficiently utilize the available resources while minimizing the interference in the network. A challenging aspect of such algorithms is the incorporation of the channels' diverse characteristics, highly dynamic network conditions with respect to primary users' activity, and different fragmented sizes of the available channels. This paper presents a comprehensive survey on the state-of-the-art channel assignment algorithms in cognitive radio networks. We also classify the algorithms by presenting a thematic taxonomy of the current channel assignment algorithms in cognitive radio networks. Moreover, the critical aspects of the current channel assignment algorithms in cognitive radio networks are analyzed to determine the strengths and weaknesses of such algorithms. The similarities and differences of the algorithms based on the important parameters, such as routing dependencies, channel models, assignment methods, execution model, and optimization objectives, are also investigated. We also discuss open research issues and challenges of channel assignment in the cognitive radio networks.

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Section: Comparison Of Surveys On Channel Assignment Problem In mentioning

confidence: 99%

Channel Assignment Algorithms in Cognitive Radio Networks: Taxonomy, Open Issues, and Challenges

Ahmed

Gani

Abolfazli

et al. 2016

IEEE Commun. Surv. Tutorials

151

View full text Add to dashboard Cite

show abstract

“…The use of such protocols allows an increase on the network transmission capacity, through simultaneous transmissions in several different channels. It is also possible to deal with the spatial variations in the quality of the channels [24].…”

Section: Multi-channel Protocolsmentioning

confidence: 99%

A Simulation Model for Industrial Multi-Channel Wireless Sensor Networks

Gomes

Queiroz

Fonseca

et al. 2017

JCIS

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Abstract-The use of Wireless Sensor Networks (WSN) in industrial environments is subject to problems, such as shadowing and fading. In addition, the wireless channel in many industrial environments is non-stationary for a long term, which can cause abrupt changes in the characteristics of the channel over time. A way to deal with those problems is the use of multi-channel protocols. However, it is difficult to evaluate, and compare different approaches because there is no reliable simulation model for industrial environments. This paper presents experimental results that characterize the wireless channel in industrial environments, and proposes a simulation model that captures the effects of fading, shadowing, and the non-stationary characteristics of the channel. It also considers the differences in the behavior of the different channels, and the asymmetry of the links. The model was integrated into the open source simulator Castalia. After the integration, two simulation studies were performed with the proposed model. In the first one, the Tree-based Multi-Channel Protocol was implemented and evaluated, and a comparison was made with the default model from Castalia. In the second case, CSMA/CA protocol, as defined in IEEE 802.15.4 standard, was compared to a protocol based on Time-Slotted Channel Hopping (TSCH) mode of IEEE 802.15.4e standard. The results showed that the use of TDMA and channel hopping is an alternative to deal with the problems of wireless channels in industrial environments.

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“…However, though effective, implementing CB in WSNs has a number of challenges that need to be addressed. Some of the important challenges are to reduce energy consumption, to minimize interference, to avoid contention and to maximize the use of limited bandwidth assigned to the given network [19].…”

Section: A Motivation: Need Of Channel Bonding In Wireless Networkmentioning

confidence: 99%

A Survey of Channel Bonding for Wireless Networks and Guidelines of Channel Bonding for Futuristic Cognitive Radio Sensor Networks

Bukhari

Rehmani

Siraj

2016

IEEE Commun. Surv. Tutorials

125

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Abstract-Channel bonding (CB) is a proven technique to increase bandwidth and reduce delays in wireless networks. It has been applied in traditional wireless networks such as cellular networks and wireless local area networks along with the emerging cognitive radio networks. This paper first focuses on providing a survey of CB schemes for traditional wireless networks such as cellular networks, wireless local area networks and wireless sensor networks, and then provides a detailed discussion on the CB schemes proposed for cognitive radio networks. Finally, we highlight a number of issues and challenges regarding CB in cognitive radio sensor networks and also provide some guidelines on using CB schemes in these futuristic networks.

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A survey on multi-channel communication in wireless sensor networks

Cited by 119 publications

References 43 publications

Channel Assignment Algorithms in Cognitive Radio Networks: Taxonomy, Open Issues, and Challenges

Channel Assignment Algorithms in Cognitive Radio Networks: Taxonomy, Open Issues, and Challenges

A Simulation Model for Industrial Multi-Channel Wireless Sensor Networks

A Survey of Channel Bonding for Wireless Networks and Guidelines of Channel Bonding for Futuristic Cognitive Radio Sensor Networks

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