User allocation in multi-hop edge computing networks: a game-theoretical approach

Purpose The purpose of this study is to solve user allocation problem in a multi-hop user allocation (MUA) environment and balance the service on servers. Design/methodology/approach The authors choose to describe the MUA problem as a MUA game. Then, this paper proves the existence of Nash equilibrium in the game. Next, the paper proposes a game-based multi-hop user allocation (GMUA) algorithm to get the solution. Findings Both convergence analysis and comparison experiments are carried out to evaluate the performance of the GMUA algorithm. The results show that the GMUA algorithm is better than other methods. And the iteration time has limitation which is related to user’s number and resouce limitation. Originality/value This study discusses user allocation problem in multi-hop environment. The authors prove that this problem is NP-hard. They introduce it to a potential game and propose a GMUA algorithm to solve it. The authors analyze this algorithm theoretically and experimentally.

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Publication Details

Journal
International Journal of Web Information Systems
Published
2025-04-01
DOI
https://doi.org/10.1108/ijwis-07-2024-0190
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
1.49
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article

User allocation in multi-hop edge computing networks: a game-theoretical approach

Wenjie Hou, Ying Chen
1 citations
International Journal of Web Information Systems
IoT and Edge/Fog Computing
1.49
article

User allocation in multi-hop edge computing networks: a game-theoretical approach

Wenjie Hou, Ying Chen
article en
1 citations

Abstract

Purpose The purpose of this study is to solve user allocation problem in a multi-hop user allocation (MUA) environment and balance the service on servers. Design/methodology/approach The authors choose to describe the MUA problem as a MUA game. Then, this paper proves the existence of Nash equilibrium in the game. Next, the paper proposes a game-based multi-hop user allocation (GMUA) algorithm to get the solution. Findings Both convergence analysis and comparison experiments are carried out to evaluate the performance of the GMUA algorithm. The results show that the GMUA algorithm is better than other methods. And the iteration time has limitation which is related to user’s number and resouce limitation. Originality/value This study discusses user allocation problem in multi-hop environment. The authors prove that this problem is NP-hard. They introduce it to a potential game and propose a GMUA algorithm to solve it. The authors analyze this algorithm theoretically and experimentally.

International Journal of Web Information SystemsVol. 21(3)
Beijing Haidian Hospital (CN), Beijing Information Science & Technology University (CN)
Openalex Percentile: Top 19%
IoT and Edge/Fog Computing
1.49
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