Improved Adaptive Backoff Algorithm for Optimal Channel Utilization in Large-Scale IEEE 802.15.4-Based Wireless Body Area Networks
The backoff algorithm employed by the medium access control (MAC) protocol of the IEEE 802.15.4 standard has a significant impact on the overall performance of the wireless sensor network (WSN). This algorithm helps the MAC protocol resolve the contention among multiple nodes in accessing the wirele...
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| مؤلفون آخرون: | , , |
| منشور في: |
2024
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| الوصول للمادة أونلاين: | http://hdl.handle.net/11675/12171 http://www.scopus.com/inward/record.url?scp=85205253893&partnerID=8YFLogxK |
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| _version_ | 1870679730153324544 |
|---|---|
| author | El-Abd, Mohammed |
| author2 | Guennoun, Mouhcine Khanafer, Mounib Mouftah, Hussein |
| author2_role | author author author |
| author_facet | El-Abd, Mohammed Guennoun, Mouhcine Khanafer, Mounib Mouftah, Hussein |
| author_role | author |
| dc.creator.none.fl_str_mv | El-Abd, Mohammed Guennoun, Mouhcine Khanafer, Mounib Mouftah, Hussein |
| dc.date.none.fl_str_mv | 2024-08-29 2025-03-10T09:15:28Z 2025-03-10T09:15:28Z |
| dc.identifier.none.fl_str_mv | 10.3390/fi16090313 http://hdl.handle.net/11675/12171 http://www.scopus.com/inward/record.url?scp=85205253893&partnerID=8YFLogxK |
| dc.publisher.none.fl_str_mv | Multidisciplinary Digital Publishing Institute (MDPI) |
| dc.relation.none.fl_str_mv | Off. of Dean Coll Engg and Applied Sciences Future Internet |
| dc.title.none.fl_str_mv | Improved Adaptive Backoff Algorithm for Optimal Channel Utilization in Large-Scale IEEE 802.15.4-Based Wireless Body Area Networks |
| dc.type.none.fl_str_mv | Journal Article Peer-reviewed info:eu-repo/semantics/publishedVersion |
| description | The backoff algorithm employed by the medium access control (MAC) protocol of the IEEE 802.15.4 standard has a significant impact on the overall performance of the wireless sensor network (WSN). This algorithm helps the MAC protocol resolve the contention among multiple nodes in accessing the wireless medium. The standard binary exponent backoff (BEB) used by the IEEE 802.15.4 MAC protocol relies on an incremental method that doubles the size of the contention window after the occurrence of a collision. In a previous work, we proposed the adaptive backoff algorithm (ABA), which adapts the contention window’s size to the value of the probability of collision, thus relating the contention resolution to the size of the WSN in an indirect manner. ABA was studied and tested using contention window sizes of up to 256. However, the latter limit on the contention window size led to degradation in the network performance as the size of the network exceeded 50 nodes. This paper introduces the Improved ABA (I-ABA), an improved version of ABA. In the design of I-ABA we observe the optimal values of the contention window that maximize performance under varying probabilities of collision. Based on that, we use curve fitting techniques to derive a mathematical expression that better describes the adaptive change in the contention window. This forms the basis of I-ABA, which demonstrates scalability and the ability to enhance performance. As a potential area of application for I-ABA, we target wireless body area networks (WBANs) that are large-scale, that is, composed of hundreds of sensor nodes. WBAN is a major application area for the emerging Internet of Things (IoT) paradigm. We evaluate the performance of I-ABA based on simulations. Our results show that, in a large-scale WBAN, I-ABA can achieve superior performance to both ABA and the standard BEB in terms of various performance metrics. |
| id | AUKR_a538bd2b5a1e5e574cdb80ebabbe10c3 |
| identifier_str_mv | 10.3390/fi16090313 |
| network_acronym_str | AUKR |
| network_name_str | AU Kuwait Rep |
| oai_identifier_str | oai:dspace.auk.edu.kw:11675/12171 |
| publishDate | 2024 |
| publisher.none.fl_str_mv | Multidisciplinary Digital Publishing Institute (MDPI) |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Improved Adaptive Backoff Algorithm for Optimal Channel Utilization in Large-Scale IEEE 802.15.4-Based Wireless Body Area NetworksEl-Abd, MohammedGuennoun, MouhcineKhanafer, MounibMouftah, Hussein The backoff algorithm employed by the medium access control (MAC) protocol of the IEEE 802.15.4 standard has a significant impact on the overall performance of the wireless sensor network (WSN). This algorithm helps the MAC protocol resolve the contention among multiple nodes in accessing the wireless medium. The standard binary exponent backoff (BEB) used by the IEEE 802.15.4 MAC protocol relies on an incremental method that doubles the size of the contention window after the occurrence of a collision. In a previous work, we proposed the adaptive backoff algorithm (ABA), which adapts the contention window’s size to the value of the probability of collision, thus relating the contention resolution to the size of the WSN in an indirect manner. ABA was studied and tested using contention window sizes of up to 256. However, the latter limit on the contention window size led to degradation in the network performance as the size of the network exceeded 50 nodes. This paper introduces the Improved ABA (I-ABA), an improved version of ABA. In the design of I-ABA we observe the optimal values of the contention window that maximize performance under varying probabilities of collision. Based on that, we use curve fitting techniques to derive a mathematical expression that better describes the adaptive change in the contention window. This forms the basis of I-ABA, which demonstrates scalability and the ability to enhance performance. As a potential area of application for I-ABA, we target wireless body area networks (WBANs) that are large-scale, that is, composed of hundreds of sensor nodes. WBAN is a major application area for the emerging Internet of Things (IoT) paradigm. We evaluate the performance of I-ABA based on simulations. Our results show that, in a large-scale WBAN, I-ABA can achieve superior performance to both ABA and the standard BEB in terms of various performance metrics.Multidisciplinary Digital Publishing Institute (MDPI)2025-03-10T09:15:28Z2025-03-10T09:15:28Z2024-08-29Journal ArticlePeer-reviewedinfo:eu-repo/semantics/publishedVersion10.3390/fi16090313http://hdl.handle.net/11675/12171http://www.scopus.com/inward/record.url?scp=85205253893&partnerID=8YFLogxKOff. of Dean Coll Engg and Applied SciencesFuture Internetoai:dspace.auk.edu.kw:11675/121712025-06-25T09:30:35Z |
| spellingShingle | Improved Adaptive Backoff Algorithm for Optimal Channel Utilization in Large-Scale IEEE 802.15.4-Based Wireless Body Area Networks El-Abd, Mohammed |
| status_str | publishedVersion |
| title | Improved Adaptive Backoff Algorithm for Optimal Channel Utilization in Large-Scale IEEE 802.15.4-Based Wireless Body Area Networks |
| title_full | Improved Adaptive Backoff Algorithm for Optimal Channel Utilization in Large-Scale IEEE 802.15.4-Based Wireless Body Area Networks |
| title_fullStr | Improved Adaptive Backoff Algorithm for Optimal Channel Utilization in Large-Scale IEEE 802.15.4-Based Wireless Body Area Networks |
| title_full_unstemmed | Improved Adaptive Backoff Algorithm for Optimal Channel Utilization in Large-Scale IEEE 802.15.4-Based Wireless Body Area Networks |
| title_short | Improved Adaptive Backoff Algorithm for Optimal Channel Utilization in Large-Scale IEEE 802.15.4-Based Wireless Body Area Networks |
| title_sort | Improved Adaptive Backoff Algorithm for Optimal Channel Utilization in Large-Scale IEEE 802.15.4-Based Wireless Body Area Networks |
| url | http://hdl.handle.net/11675/12171 http://www.scopus.com/inward/record.url?scp=85205253893&partnerID=8YFLogxK |