Social Networking and Caching Aided Collaborative Computing for the Internet of Things

被引：19

作者：

Ai, Yutong ^{[1
]}

Wang, Li ^{[1
,2
]}

Han, Zhu ^{[3
,4
]}

Zhang, Ping ^{[1
]}

Hanzo, Lajos ^{[5
]}

机构：

[1] Beijing Univ Posts & Telecommun, Beijing, Peoples R China

[2] Minist Educ, Key Lab Universal Wireless Commun, Beijing, Peoples R China

[3] Univ Houston, Comp Sci Dept, Elect & Comp Engn Dept, Houston, TX 77004 USA

[4] Kyung Hee Univ, Seoul, South Korea

[5] Univ Southampton, Sch Elect & Comp Sci, Southampton, Hants, England

来源：

IEEE COMMUNICATIONS MAGAZINE | 2018年 / 56卷 / 12期

基金：

中国国家自然科学基金; 欧洲研究理事会;

关键词：

Social sciences computing - Wireless networks - Social networking (online) - Internet of things;

D O I：

10.1109/MCOM.2018.1701089

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The IoT, as the latest information technology, is expected to support the ubiquitous connectivity of anything, anytime and anywhere. Since numerous IoT devices will be connected to cellular networks, the conflicting demands of ultra-low latency, massive connectivity and high reliability impose significant burdens on the operational wireless networks. Exploiting various temporarily unused computational and storage resources by invoking cooperative caching and computing has the potential of supporting these demanding applications. One of the key characteristics of next-generation networks is the boom of applications in social networking. By exploiting the benefits of social networking, the burdens imposed on wireless networks by the IoT applications can be mitigated by the proposed caching assisted collaborative computing IoT framework.

引用

页码：149 / 155

页数：7

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