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Segmentized Clear Channel Assessment for IEEE 802.15.4 Networks

This paper proposed segmentized clear channel assessment (CCA) which increases the performance of IEEE 802.15.4 networks by improving carrier sense multiple access with collision avoidance (CSMA/CA). Improving CSMA/CA is important because the low-power consumption feature and throughput performance...

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Autores principales: Son, Kyou Jung, Hong, Sung Hyeuck, Moon, Seong-Pil, Chang, Tae Gyu, Cho, Hanjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934241/
https://www.ncbi.nlm.nih.gov/pubmed/27271626
http://dx.doi.org/10.3390/s16060815
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author Son, Kyou Jung
Hong, Sung Hyeuck
Moon, Seong-Pil
Chang, Tae Gyu
Cho, Hanjin
author_facet Son, Kyou Jung
Hong, Sung Hyeuck
Moon, Seong-Pil
Chang, Tae Gyu
Cho, Hanjin
author_sort Son, Kyou Jung
collection PubMed
description This paper proposed segmentized clear channel assessment (CCA) which increases the performance of IEEE 802.15.4 networks by improving carrier sense multiple access with collision avoidance (CSMA/CA). Improving CSMA/CA is important because the low-power consumption feature and throughput performance of IEEE 802.15.4 are greatly affected by CSMA/CA behavior. To improve the performance of CSMA/CA, this paper focused on increasing the chance to transmit a packet by assessing precise channel status. The previous method used in CCA, which is employed by CSMA/CA, assesses the channel by measuring the energy level of the channel. However, this method shows limited channel assessing behavior, which comes from simple threshold dependent channel busy evaluation. The proposed method solves this limited channel decision problem by dividing CCA into two groups. Two groups of CCA compare their energy levels to get precise channel status. To evaluate the performance of the segmentized CCA method, a Markov chain model has been developed. The validation of analytic results is confirmed by comparing them with simulation results. Additionally, simulation results show the proposed method is improving a maximum 8.76% of throughput and decreasing a maximum 3.9% of the average number of CCAs per packet transmission than the IEEE 802.15.4 CCA method.
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spelling pubmed-49342412016-07-06 Segmentized Clear Channel Assessment for IEEE 802.15.4 Networks Son, Kyou Jung Hong, Sung Hyeuck Moon, Seong-Pil Chang, Tae Gyu Cho, Hanjin Sensors (Basel) Article This paper proposed segmentized clear channel assessment (CCA) which increases the performance of IEEE 802.15.4 networks by improving carrier sense multiple access with collision avoidance (CSMA/CA). Improving CSMA/CA is important because the low-power consumption feature and throughput performance of IEEE 802.15.4 are greatly affected by CSMA/CA behavior. To improve the performance of CSMA/CA, this paper focused on increasing the chance to transmit a packet by assessing precise channel status. The previous method used in CCA, which is employed by CSMA/CA, assesses the channel by measuring the energy level of the channel. However, this method shows limited channel assessing behavior, which comes from simple threshold dependent channel busy evaluation. The proposed method solves this limited channel decision problem by dividing CCA into two groups. Two groups of CCA compare their energy levels to get precise channel status. To evaluate the performance of the segmentized CCA method, a Markov chain model has been developed. The validation of analytic results is confirmed by comparing them with simulation results. Additionally, simulation results show the proposed method is improving a maximum 8.76% of throughput and decreasing a maximum 3.9% of the average number of CCAs per packet transmission than the IEEE 802.15.4 CCA method. MDPI 2016-06-03 /pmc/articles/PMC4934241/ /pubmed/27271626 http://dx.doi.org/10.3390/s16060815 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Son, Kyou Jung
Hong, Sung Hyeuck
Moon, Seong-Pil
Chang, Tae Gyu
Cho, Hanjin
Segmentized Clear Channel Assessment for IEEE 802.15.4 Networks
title Segmentized Clear Channel Assessment for IEEE 802.15.4 Networks
title_full Segmentized Clear Channel Assessment for IEEE 802.15.4 Networks
title_fullStr Segmentized Clear Channel Assessment for IEEE 802.15.4 Networks
title_full_unstemmed Segmentized Clear Channel Assessment for IEEE 802.15.4 Networks
title_short Segmentized Clear Channel Assessment for IEEE 802.15.4 Networks
title_sort segmentized clear channel assessment for ieee 802.15.4 networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934241/
https://www.ncbi.nlm.nih.gov/pubmed/27271626
http://dx.doi.org/10.3390/s16060815
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