Markov Model-Based Energy Efficiency Spectrum Sensing in Cognitive Radio Sensor Networks
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 criti...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Journal of Computer Networks and Communications |
| Online Access: | http://dx.doi.org/10.1155/2016/7695278 |
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| author | Yan Jiao Inwhee Joe |
| author_facet | Yan Jiao Inwhee Joe |
| author_sort | Yan Jiao |
| collection | DOAJ |
| description | 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 exceeded listen before talk (LBT) strategy which is widely used for traditional wireless sensor networks. |
| format | Article |
| id | doaj-art-c11019fb177f42e08e1bcdb1add1ea99 |
| institution | Kabale University |
| issn | 2090-7141 2090-715X |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Computer Networks and Communications |
| spelling | doaj-art-c11019fb177f42e08e1bcdb1add1ea992025-02-03T01:10:51ZengWileyJournal of Computer Networks and Communications2090-71412090-715X2016-01-01201610.1155/2016/76952787695278Markov Model-Based Energy Efficiency Spectrum Sensing in Cognitive Radio Sensor NetworksYan Jiao0Inwhee Joe1Department of Electronics and Computer Engineering, College of Engineering, Hanyang University, 17 Haengdang-dong, Sungdong-gu, Seoul 133-791, Republic of KoreaDepartment of Electronics and Computer Engineering, College of Engineering, Hanyang University, 17 Haengdang-dong, Sungdong-gu, Seoul 133-791, Republic of KoreaCognitive 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 exceeded listen before talk (LBT) strategy which is widely used for traditional wireless sensor networks.http://dx.doi.org/10.1155/2016/7695278 |
| spellingShingle | Yan Jiao Inwhee Joe Markov Model-Based Energy Efficiency Spectrum Sensing in Cognitive Radio Sensor Networks Journal of Computer Networks and Communications |
| title | Markov Model-Based Energy Efficiency Spectrum Sensing in Cognitive Radio Sensor Networks |
| title_full | Markov Model-Based Energy Efficiency Spectrum Sensing in Cognitive Radio Sensor Networks |
| title_fullStr | Markov Model-Based Energy Efficiency Spectrum Sensing in Cognitive Radio Sensor Networks |
| title_full_unstemmed | Markov Model-Based Energy Efficiency Spectrum Sensing in Cognitive Radio Sensor Networks |
| title_short | Markov Model-Based Energy Efficiency Spectrum Sensing in Cognitive Radio Sensor Networks |
| title_sort | markov model based energy efficiency spectrum sensing in cognitive radio sensor networks |
| url | http://dx.doi.org/10.1155/2016/7695278 |
| work_keys_str_mv | AT yanjiao markovmodelbasedenergyefficiencyspectrumsensingincognitiveradiosensornetworks AT inwheejoe markovmodelbasedenergyefficiencyspectrumsensingincognitiveradiosensornetworks |