Critical Analysis of Life Span Improvement Techniques in Energy Constraints Edge IoT Devices
IoT edge computing facilitates data to be processed at a location closer to the place where it is generated. Placing computing closer allows for faster and more reliable service to the users. It also benefits latency-sensitive applications. These benefits are overshadowed by the risk of energy drain...
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| Veröffentlicht in: | SN computer science 2023-02, Vol.4 (3), p.221, Article 221 |
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| creator | Padmini, M. S. Kuzhalvaimozhi, S. |
| description | IoT edge computing facilitates data to be processed at a location closer to the place where it is generated. Placing computing closer allows for faster and more reliable service to the users. It also benefits latency-sensitive applications. These benefits are overshadowed by the risk of energy drain in edge IoT devices. Many works have been proposed to improve the life span of edge IoT devices. These works target either computation or communication overhead reduction to minimize energy consumption. This survey does a critical analysis of existing solutions and presents the research gap. In addition to the identification of research gaps, the survey also presents possible solutions at a higher level to address these gaps. |
| doi_str_mv | 10.1007/s42979-022-01601-3 |
| format | Article |
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| subjects | Advances in Computational Intelligence for Artificial Intelligence Algorithms Alternative energy Communication Computer Imaging Computer Science Computer Systems Organization and Communication Networks Data collection Data Structures and Information Theory Edge computing Energy consumption Heuristic Information Systems and Communication Service Internet of Things Internet of Things and Data Analytics Life span Linear programming Machine Learning Pattern Recognition and Graphics Review Article Scheduling Software Engineering/Programming and Operating Systems Vision |
| title | Critical Analysis of Life Span Improvement Techniques in Energy Constraints Edge IoT Devices |
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