Cognitive approaches in Wireless Sensor Networks: A survey

Vijay, Gayathri; Bdira, Elyes; Ibnkahla, Mohamed

doi:10.1109/bsc.2010.5472978

Cited by 20 publications

(8 citation statements)

References 14 publications

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“…Vijaya et al [ 6 , 62 ], Cavalcanti et al [ 63 ], and Jia et al [ 64 ] proposed prospective, survey, and key technologies on CR-WSNs. Bicen et al [ 8 ] discussed the design challenges and principles for multimedia and delay-sensitive data transport in CR-WSNs in a range of environments.…”

Section: Literature Review: Other Research On Cwsnmentioning

confidence: 99%

Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends

Joshi

Nam

Kim

2013

Sensors

247

143

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A cognitive radio wireless sensor network is one of the candidate areas where cognitive techniques can be used for opportunistic spectrum access. Research in this area is still in its infancy, but it is progressing rapidly. The aim of this study is to classify the existing literature of this fast emerging application area of cognitive radio wireless sensor networks, highlight the key research that has already been undertaken, and indicate open problems. This paper describes the advantages of cognitive radio wireless sensor networks, the difference between ad hoc cognitive radio networks, wireless sensor networks, and cognitive radio wireless sensor networks, potential application areas of cognitive radio wireless sensor networks, challenges and research trend in cognitive radio wireless sensor networks. The sensing schemes suited for cognitive radio wireless sensor networks scenarios are discussed with an emphasis on cooperation and spectrum access methods that ensure the availability of the required QoS. Finally, this paper lists several open research challenges aimed at drawing the attention of the readers toward the important issues that need to be addressed before the vision of completely autonomous cognitive radio wireless sensor networks can be realized.

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Section: Literature Review: Other Research On Cwsnmentioning

confidence: 99%

Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends

Joshi

Nam

Kim

2013

Sensors

247

143

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“…This new sensor networking paradigm is known as Cognitive Radio Sensor Networks (CRSN) [2]. The main design principles and features of CRSNs are discussed openly in the literature [3][4][5]. There are many advantages of CRSN, such as efficient spectrum usage, good radio propagation, and flexible deployment property.…”

Section: Introductionmentioning

confidence: 99%

Markov Model-Based Energy Efficiency Spectrum Sensing in Cognitive Radio Sensor Networks

Jiao

Joe

2016

Journal of Computer Networks and Communications

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Cognitive Radio Sensor Network (CRSN), incorporating cognitive radio capability in wireless sensor networks, is a new paradigm of the next-generation sensor network. Sensor nodes are usually battery powered and hence have strict energy constraints. As a result, energy efficiency is also a very critical problem in the CRSN. In this paper, we focus on energy consumption because of spectrum sensing. Furthermore, we present an adaptive spectrum sensing time interval strategy, in which SUs can adjust the next spectrum sensing time interval according to the current spectrum sensing results (namely, channel status). In order to find an optimal spectrum sensing time interval, we introduce the Markov model. Then, we establish a Markov model-based mathematical modeling for analyzing the relationship between spectrum sensing time interval and prior spectrum sensing results. Finally, numerical results demonstrate that the proposed strategy with dynamic adaptive spectrum sensing time interval exceededlisten before talk(LBT) strategy which is widely used for traditional wireless sensor networks.

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“…CRSN nodes operate on licensed bands and can periodically sense the spectrum, determine the vacant channels, and use them to report the collected source information. The main design principles and features of CRSNs are discussed openly in literature [1]- [4]. According to these literatures, CRSN enjoys many advantages, such as efficient spectrum usage, flexible deployment and good radio propagation property.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Joint Source and Channel Sensing in Cognitive Radio Sensor Networks

Zhang

Chen

et al. 2011

2011 IEEE International Conference on Communications (ICC)

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A novel concept of Joint Source and Channel Sensing (JSCS) is introduced in the context of Cognitive Radio Sensor Networks (CRSN). Every sensor node has two basic tasks: application-oriented source sensing and ambient-oriented channel sensing. The former is to collect the application-specific source information and deliver it to the access point within some limit of distortion, while the latter is to find the vacant channels and provide spectrum access opportunities for the sensed source information. With in-depth exploration, we find that these two tasks are actually interrelated when taking into account the energy constraints. The main focus of this paper is to minimize the total power consumed by these two tasks while bounding the distortion of the application-specific source information. Firstly, we present a specific slotted sensing and transmission scheme, and establish the multi-task power consumption model. Secondly, we jointly analyze the interplay between these two sensing tasks, and then propose a proper sensing and power allocation scheme to minimize the total power consumption. Finally, simulation results are given to validate the proposed scheme.

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Cognitive approaches in Wireless Sensor Networks: A survey

Cited by 20 publications

References 14 publications

Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends

Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends

Markov Model-Based Energy Efficiency Spectrum Sensing in Cognitive Radio Sensor Networks

Energy Efficient Joint Source and Channel Sensing in Cognitive Radio Sensor Networks

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