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Design and implementation of social based edge node selection algorithm
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AI
DOI：10.1007/s11042-024-18816-6.png)
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Abstract
En 中文
With the development of computing technology, the storage space and computing power of IoT devices have developed rapidly. Due to the social nature of people, users who have social relationships with each other IoT devices are relatively close in some time periods, but are far away from traditional edge nodes. It is far away, so service providers can temporarily rent suitable IoT devices to act as edge storage nodes based on the storage computing power and social status of user equipment. In the process of selecting edge nodes by service providers, this paper firstly describes the social relationships of users to which the edge nodes belong and some requirements for storage. Then, based on the above considerations, a method based on social and The edge node selection algorithm of equipment storage, and the subsequent modeling of the problem of service providers' selection of edge nodes as the problem of maximizing social benefits, through the use of matching algorithms, proves that the algorithm proposed in this paper can effectively select edge nodes, and subsequent simulation experiments The experimental results also show that the proposed algorithm can maximize the social benefits of service providers and users.
Keywords:
Edge computing
Internet of things
Social
Matching algorithms
Journal
IF:
3
Papers:
1.9W
Citations:
3.2W
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