Edge Computing in an IoT Base Station System: Reprogramming and Real-Time Tasks
There are millions of base stations distributed across China, each containing many support devices and monitoring sensors. Conventional base station management systems tend to be hosted in the cloud, but cloud-based systems are difficult to reprogram and performing tasks in real-time is sometimes pr...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/4027638 |
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| author | Huifeng Wu Junjie Hu Jiexiang Sun Danfeng Sun |
| author_facet | Huifeng Wu Junjie Hu Jiexiang Sun Danfeng Sun |
| author_sort | Huifeng Wu |
| collection | DOAJ |
| description | There are millions of base stations distributed across China, each containing many support devices and monitoring sensors. Conventional base station management systems tend to be hosted in the cloud, but cloud-based systems are difficult to reprogram and performing tasks in real-time is sometimes problematic, for example, sounding a combination of alarms or executing linked tasks. To overcome these drawbacks, we propose a hybrid edge-cloud IoT base station system, called BSIS. This paper includes a theoretical mathematical model that demonstrates the dynamic characteristics of BSIS along with a formulation for implementing BSIS in practice. Embedded programmable logic controllers serve as the edge nodes; a dynamic programming method creates a seamless integration between the edge nodes and the cloud. The paper concludes with a series of comprehensive analyses on scalability, responsiveness, and reliability. These analyses indicate a possible 60% reduction in the number of alarms, an edge response time of less than 0.1s, and an average downtime ratio of 0.66%. |
| format | Article |
| id | doaj-art-6b2d2a7495b94479be20b0d78cb7ee16 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-6b2d2a7495b94479be20b0d78cb7ee162025-02-03T01:11:44ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/40276384027638Edge Computing in an IoT Base Station System: Reprogramming and Real-Time TasksHuifeng Wu0Junjie Hu1Jiexiang Sun2Danfeng Sun3Institute of Intelligent and Software Technology, Hangzhou Dianzi University, Hangzhou 310018, ChinaHangzhou Yiyitaidi Information Technology Co., Ltd., Hangzhou 310000, ChinaBeijing Research Institute of Automation for Machinery Industry Co., Ltd., Beijing 100120, ChinaInstitut f. Automation und Kommunikation, Magdeburg 39106, GermanyThere are millions of base stations distributed across China, each containing many support devices and monitoring sensors. Conventional base station management systems tend to be hosted in the cloud, but cloud-based systems are difficult to reprogram and performing tasks in real-time is sometimes problematic, for example, sounding a combination of alarms or executing linked tasks. To overcome these drawbacks, we propose a hybrid edge-cloud IoT base station system, called BSIS. This paper includes a theoretical mathematical model that demonstrates the dynamic characteristics of BSIS along with a formulation for implementing BSIS in practice. Embedded programmable logic controllers serve as the edge nodes; a dynamic programming method creates a seamless integration between the edge nodes and the cloud. The paper concludes with a series of comprehensive analyses on scalability, responsiveness, and reliability. These analyses indicate a possible 60% reduction in the number of alarms, an edge response time of less than 0.1s, and an average downtime ratio of 0.66%.http://dx.doi.org/10.1155/2019/4027638 |
| spellingShingle | Huifeng Wu Junjie Hu Jiexiang Sun Danfeng Sun Edge Computing in an IoT Base Station System: Reprogramming and Real-Time Tasks Complexity |
| title | Edge Computing in an IoT Base Station System: Reprogramming and Real-Time Tasks |
| title_full | Edge Computing in an IoT Base Station System: Reprogramming and Real-Time Tasks |
| title_fullStr | Edge Computing in an IoT Base Station System: Reprogramming and Real-Time Tasks |
| title_full_unstemmed | Edge Computing in an IoT Base Station System: Reprogramming and Real-Time Tasks |
| title_short | Edge Computing in an IoT Base Station System: Reprogramming and Real-Time Tasks |
| title_sort | edge computing in an iot base station system reprogramming and real time tasks |
| url | http://dx.doi.org/10.1155/2019/4027638 |
| work_keys_str_mv | AT huifengwu edgecomputinginaniotbasestationsystemreprogrammingandrealtimetasks AT junjiehu edgecomputinginaniotbasestationsystemreprogrammingandrealtimetasks AT jiexiangsun edgecomputinginaniotbasestationsystemreprogrammingandrealtimetasks AT danfengsun edgecomputinginaniotbasestationsystemreprogrammingandrealtimetasks |