Multi-access edge computing offloading in maritime monitoring sensor networks
Multi-access edge computing can effectively guarantee the low-latency, high-reliability data transmission of ocean monitoring sensor networks and various related maritime applications.In the offshore scenario, two offloading models of multi-user single-hop unicast and multi-user multi-hop unicast we...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2021-03-01
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| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00205/ |
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| _version_ | 1841531108791943168 |
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| author | Xin SU Ziyi WANG Yupeng WANG Siyuan ZHOU |
| author_facet | Xin SU Ziyi WANG Yupeng WANG Siyuan ZHOU |
| author_sort | Xin SU |
| collection | DOAJ |
| description | Multi-access edge computing can effectively guarantee the low-latency, high-reliability data transmission of ocean monitoring sensor networks and various related maritime applications.In the offshore scenario, two offloading models of multi-user single-hop unicast and multi-user multi-hop unicast were established in combination with the distribution of edge computing resources.The mixed integer nonlinear programming was used to separate optimization targets and effectively allocate transmission power.The unloading decisions were made by improving the traditional artificial fish swarms algorithm.The results show that the proposed optimization algorithm can reduce the network delay by nearly 19% compared with the traditional scheme.In the far-sea scenario, a multi-user single-hop unicast offloading model was established, and a reasonable channel allocation algorithm was proposed based on the network connection probability.The results show that when the network connection time is sufficient, the number of allowable sub-channels can be increased to reduce the network delay.When the network connection time is limited, the number of unloaded marine user equipment can be controlled to ensure the network transmission delay. |
| format | Article |
| id | doaj-art-c5f5519513e54986bb338cfd36f202a3 |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2021-03-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-c5f5519513e54986bb338cfd36f202a32025-01-15T02:53:53ZzhoChina InfoCom Media Group物联网学报2096-37502021-03-015365259651277Multi-access edge computing offloading in maritime monitoring sensor networksXin SUZiyi WANGYupeng WANGSiyuan ZHOUMulti-access edge computing can effectively guarantee the low-latency, high-reliability data transmission of ocean monitoring sensor networks and various related maritime applications.In the offshore scenario, two offloading models of multi-user single-hop unicast and multi-user multi-hop unicast were established in combination with the distribution of edge computing resources.The mixed integer nonlinear programming was used to separate optimization targets and effectively allocate transmission power.The unloading decisions were made by improving the traditional artificial fish swarms algorithm.The results show that the proposed optimization algorithm can reduce the network delay by nearly 19% compared with the traditional scheme.In the far-sea scenario, a multi-user single-hop unicast offloading model was established, and a reasonable channel allocation algorithm was proposed based on the network connection probability.The results show that when the network connection time is sufficient, the number of allowable sub-channels can be increased to reduce the network delay.When the network connection time is limited, the number of unloaded marine user equipment can be controlled to ensure the network transmission delay.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00205/maritime monitoring sensor networkmulti-access edge computingartificial fish swarm algorithmchannel allocation |
| spellingShingle | Xin SU Ziyi WANG Yupeng WANG Siyuan ZHOU Multi-access edge computing offloading in maritime monitoring sensor networks 物联网学报 maritime monitoring sensor network multi-access edge computing artificial fish swarm algorithm channel allocation |
| title | Multi-access edge computing offloading in maritime monitoring sensor networks |
| title_full | Multi-access edge computing offloading in maritime monitoring sensor networks |
| title_fullStr | Multi-access edge computing offloading in maritime monitoring sensor networks |
| title_full_unstemmed | Multi-access edge computing offloading in maritime monitoring sensor networks |
| title_short | Multi-access edge computing offloading in maritime monitoring sensor networks |
| title_sort | multi access edge computing offloading in maritime monitoring sensor networks |
| topic | maritime monitoring sensor network multi-access edge computing artificial fish swarm algorithm channel allocation |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00205/ |
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