A Dual-Cycle Architecture in Cognitive M2M Wireless Networks | Zendy

Ying Li | Zendy; Xu Dong | Zendy; Lifeng Wang | Zendy; Xiaobo Guo | Zendy; Lin Bai | Zendy

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A Dual-Cycle Architecture in Cognitive M2M Wireless Networks

Author(s) -

Ying Li,

Xu Dong,

Lifeng Wang,

Xiaobo Guo,

Lin Bai

Publication year - 2013

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2013/239170

Subject(s) - computer science , cognitive radio , cognitive network , wireless network , wireless , computer network , scalability , wireless wan , construct (python library) , cognition , distributed computing , wi fi array , telecommunications , database , neuroscience , biology

Dual-cycle cognitive model (DCCM) is an effective means to develop the future large-scale cognitive wireless networks. In this paper, the DCCM is considered to construct cognitive wireless netwroks, in which the structure and implementation of service-oriented radio architecture (SORA) are expounded. Using SORA, a DCCM-based wireless resource management is considered in design and implementation of cognitive wireless networks. It shows that our proposed DCCM-based SORA is able to provide loosely coupled, reusable, and scalable implementations in machine-to-machine (M2M) heteogeneous wireless networking environment, while the intelligence of network can be improved. © 2013 Ying Li et al.

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