LOCASS: Local Optimal Caching Algorithm With Social Selfishness for Mixed Cooperative and Selfish Devices
Device caching has emerged as a promising solution to alleviate backhaul overload in future wireless networks with mixed cooperative and selfish devices. The behaviors of these devices actually represent the inherent social-network characteristics of their users, i.e., people treat each other differ...
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doaj-dd3bdef322864c549bd5da651f7f531a2021-03-29T21:18:01ZengIEEEIEEE Access2169-35362018-01-016300603007210.1109/ACCESS.2018.28353688357529LOCASS: Local Optimal Caching Algorithm With Social Selfishness for Mixed Cooperative and Selfish DevicesYang Yang0https://orcid.org/0000-0003-0608-9408Yecheng Wu1Nanxi Chen2Kunlun Wang3Shanzhi Chen4Sha Yao5Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, ChinaShanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, ChinaShanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, ChinaShanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, ChinaState Key Laboratory of Wireless Mobile Communications, China Academy of Telecommunication Technology, Beijing, ChinaEnigma Investment, Shanghai, ChinaDevice caching has emerged as a promising solution to alleviate backhaul overload in future wireless networks with mixed cooperative and selfish devices. The behaviors of these devices actually represent the inherent social-network characteristics of their users, i.e., people treat each other differently according to the closeness of their social relationships. In this paper, the concept of social selfishness is adopted to capture the social characteristics in mobile device caching. Devices can be cooperative or be selfish in dynamic content sharing environments according to their social tie strengths, just like their users tend to cooperate with their friends and show selfishness to strangers. Based on social selfishness, a novel device caching game model is proposed to analyze the limited resource and privacy issues in a typical mobile caching scenario. Then, a local optimal caching algorithm with social selfishness (LOCASS) is developed to address these challenging problems. Analytical results show that LOCASS can approach Nash equilibrium of the game, and therefore, achieving the best caching strategy for mixed cooperative and selfish devices. Further, extensive simulation results show that LOCASS offers much better performance, in terms of average offloading ratio and resource utilization, than traditional random, Most-popular-content and Greedy caching algorithms. Besides, under LOCASS, devices with low degrees are most likely to store popular contents, while devices with high degrees are more willing to store those comparatively unpopular contents and fetch popular ones from their cooperative-devices.https://ieeexplore.ieee.org/document/8357529/Device cachingsocial selfishnessoffloading ratioNash equilibrium |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yang Yang Yecheng Wu Nanxi Chen Kunlun Wang Shanzhi Chen Sha Yao |
spellingShingle |
Yang Yang Yecheng Wu Nanxi Chen Kunlun Wang Shanzhi Chen Sha Yao LOCASS: Local Optimal Caching Algorithm With Social Selfishness for Mixed Cooperative and Selfish Devices IEEE Access Device caching social selfishness offloading ratio Nash equilibrium |
author_facet |
Yang Yang Yecheng Wu Nanxi Chen Kunlun Wang Shanzhi Chen Sha Yao |
author_sort |
Yang Yang |
title |
LOCASS: Local Optimal Caching Algorithm With Social Selfishness for Mixed Cooperative and Selfish Devices |
title_short |
LOCASS: Local Optimal Caching Algorithm With Social Selfishness for Mixed Cooperative and Selfish Devices |
title_full |
LOCASS: Local Optimal Caching Algorithm With Social Selfishness for Mixed Cooperative and Selfish Devices |
title_fullStr |
LOCASS: Local Optimal Caching Algorithm With Social Selfishness for Mixed Cooperative and Selfish Devices |
title_full_unstemmed |
LOCASS: Local Optimal Caching Algorithm With Social Selfishness for Mixed Cooperative and Selfish Devices |
title_sort |
locass: local optimal caching algorithm with social selfishness for mixed cooperative and selfish devices |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2018-01-01 |
description |
Device caching has emerged as a promising solution to alleviate backhaul overload in future wireless networks with mixed cooperative and selfish devices. The behaviors of these devices actually represent the inherent social-network characteristics of their users, i.e., people treat each other differently according to the closeness of their social relationships. In this paper, the concept of social selfishness is adopted to capture the social characteristics in mobile device caching. Devices can be cooperative or be selfish in dynamic content sharing environments according to their social tie strengths, just like their users tend to cooperate with their friends and show selfishness to strangers. Based on social selfishness, a novel device caching game model is proposed to analyze the limited resource and privacy issues in a typical mobile caching scenario. Then, a local optimal caching algorithm with social selfishness (LOCASS) is developed to address these challenging problems. Analytical results show that LOCASS can approach Nash equilibrium of the game, and therefore, achieving the best caching strategy for mixed cooperative and selfish devices. Further, extensive simulation results show that LOCASS offers much better performance, in terms of average offloading ratio and resource utilization, than traditional random, Most-popular-content and Greedy caching algorithms. Besides, under LOCASS, devices with low degrees are most likely to store popular contents, while devices with high degrees are more willing to store those comparatively unpopular contents and fetch popular ones from their cooperative-devices. |
topic |
Device caching social selfishness offloading ratio Nash equilibrium |
url |
https://ieeexplore.ieee.org/document/8357529/ |
work_keys_str_mv |
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1724193248747978752 |