Cognitive Machine-to-Machine Communications for Internet-of-Things: A Protocol Stack Perspective

被引:209
作者
Aijaz, Adnan [1 ]
Aghvami, A. Hamid [1 ]
机构
[1] Kings Coll London, Ctr Telecommun Res, London WC2R 2LS, England
关键词
Cognitive radio; Internet-of-Things (IoT); low power and lossy network (LLN); machine-to-machine (M2M); medium access control (MAC); protocol stack; routing; routing for low power and lossy networks (RPL); RADIO;
D O I
10.1109/JIOT.2015.2390775
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Machine-to-machine (M2M) communications enables networked devices to exchange information among each other as well as with business application servers and therefore creates what is known as the Internet-of-Things (IoT). The research community has a consensus for the need of a standardized protocol stack for M2M communications. On the other hand, cognitive radio technology is very promising for M2M communications due to a number of factors. It is expected that cognitive M2M communications will be indispensable in order to realize the vision of IoT. However cognitive M2M communications requires a cognitive radio-enabled protocol stack in addition to the fundamental requirements of energy efficiency, reliability, and Internet connectivity. The main objective of this paper is to provide the state of the art in cognitive M2M communications from a protocol stack perspective. This paper covers the emerging standardization efforts and the latest developments on protocols for cognitive M2M networks. In addition, this paper also presents the authors' recent work in this area, which includes a centralized cognitive medium access control (MAC) protocol, a distributed cognitive MAC protocol, and a specially designed routing protocol for cognitive M2M networks. These protocols explicitly account for the peculiarities of cognitive radio environments. Performance evaluation demonstrates that the proposed protocols not only ensure protection to the primary users (PUs) but also fulfil the utility requirements of the secondary M2M networks.
引用
收藏
页码:103 / 112
页数:10
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