CogMesh (Cognitive Mesh): A Bridge from Cognitive Radio towards Cognitive Cloud & Cognitive Networking

Why does Cognitive Wireless Mesh Networking (CogMesh) Make Sense?
  • Cognition, Cooperation (altruistic or non-altruistic) and Competition are the basis to break up the cellular concept and enrich it by multi-hop, peer-to-peer (end-to-end), grid and Cloud Networking functionalities;
  • A tendency to evolve the Cognitive Radio concept towards Cognitive Cloud (CogCloud) & Cognitive Networks;
  • Cognitive Mesh (CogMesh) may be a necessary step/bridge towards the ubiquitous Cognitive Networking paradigm. 
As radio spectrum usage paradigm moving from the traditional command-and-control allocation scheme to the open spectrum allocation & access scheme, wireless networks meet new opportunities and challenges. Accordingly, we introduce the concept of cognitive wireless mesh networking (CogMesh) and address the unique problems in such a dynamically networking environment. Basically, CogMesh is a self-organized distributed network architecture combining cognitive wireless access technologies (e.g. Cognitive Radio) with the mesh (ad-hoc) structure in order to provide an integrated & converged service platform over a wide range of heterogeneous networks. CogMesh is based on opportunistic spectrum access (OSA) and featured by self-organization, self-configuration, self-protecting and self-healing. Within the CogMesh framework, in order to achieve the OSA goal, we develope the "Cloud" based common control channel (CCC) selection scheme and the "Cluster" based networking formation techniques, which can be further extended to consensus based multiple rendezvous approach for "Cloud" and "Cluster" evolution in a dynamic manner (Ref., [1], [2], [5], [9], [11], [13]).  Moreover, we also show that advanced learning algorithms (e.g., Swarm Intelligence) is a good candidate to deal with the control channel problem in CogMesh (Ref., [8], [10], [12]).
(Note that "Cognitive Cloud" mentioned above is different from "Cloud Cognition" in and
    1. Tao chen, Honggang Zhang, and Marcos Kartz, "Cloud Networking Formation in CogMesh Environment,">cs> arXiv:0904.2028 (,  April 2009.

    2. Tao Chen, Honggang Zhang, G. M. Maggio, and Imrich Chlamtac, "CogMesh: A Cluster-based Cognitive Radio Network," Proc. the 2007 IEEE Symp. on New Frontiers in Dynamic Spectrum Access Networks (IEEE DySPAN 2007), Dublin, Ireland, April 17-20, 2007.

    3. Loukas Lazos, S. Liu, and Marwan Krunz, "Spectrum Opportunity-based Control Channel Assignment in Cognitive Radio Networks," Proc. the 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON 2009), Rome, Italy, June 2009, ( ).

    4. Kaigui Bian, Jung-Min "Jerry" Park, and Ruiliang Chen, "A Quorum-based Framework for Establishing Control Channels in Dynamic Spectrum Access Networks," Proc. ACM MobiCom 2009, September 20–25, 2009, Beijing, China (

    5. Xiaofei Wang, Ted "Taekyoung" Kwon, and Yanghee Choi, "A Multipath Routing and Spectrum Access (MRSA) Framework for Cognitive Radio Systems in Multi-radio Mesh Networks," Proc. ACM CoRoNet 2009 (ACM MobiCom 2009 Workshop), September 21, 2009, Beijing, China (

    6. Alfred Asterjadhi, Nicola Baldo, and Michele Zorzi, "A Distributed Network Coded Control Channel for Multihop Cognitive Radio Networks," IEEE Network, Volume 23, Issue 4 , pp. 26-32, July/August 2009.

    7. Tao Chen, Honggang Zhang, Xiaofei Zhou, G. M. Maggio, and Imrich Chlamtac, "CogMesh: A Cluster Based Cognitive Radio Mesh Network," Cognitive Wireless Networks: Concepts, Methodologies and Visions, Springer, August 2007 (

    8. National Science Foundation (NSF), "Optimization and Design of Next-Generation Cognitive Mesh Networks: From Theory to Practice," National Science Foundation Award #0846044, July 2009 (

    9. Ian F. Akyildiz, Won-Yeo Lee, and K. R. Chowdhury, "CRAHNs: Cognitive Radio Ad Hoc Networks," Ad Hoc Networks, , January 2009.

    10. Xianfu Chen, Zhifeng Zhao, Tao Jiang, David Grace, and Honggang Zhang, "Inter-Cluster Connection in Cognitive Wireless Mesh Networks Based on Intelligent Network Coding," EURASIP Journal on Advances in Signal Processing, Special Issue on "Dynamic Spectrum Access for Wireless Networking", September 2009 (In press, see the preprint as attached at the bottom).

    11. Tao Chen, Honggang Zhang, Marko Höyhtyä, and Marcos Kartz, "Spectrum Coexistence in Cognitive Wireless Access Networks," accepted by IEEE GLOBECOM 2009, Hawaii, USA, December 2009.

    12. Xianfu Chen, Zhifeng Zhao, Tao Jiang, David Grace, and Honggang Zhang, "Inter-Cluster Connection in Cognitive Wireless Mesh Networks Based on Intelligent Network Coding," accepted by IEEE PIMRC 2009, Tokyo, Japan, September 2009.

    13. Tao Chen, Honggang Zhang, and Marcos Kartz, "CogMesh: Cognitive Wireless Mesh Networks," Proc. IEEE GLOBECOM 2008 (Workshop on Wireless Mesh and Sensor Networks), New Orleans, USA, November 2008.

    14. Tao Chen, Honggang Zhang, Marcos Kartz, and Zhen Zhou, "Swarm Intelligence Based Dynamic Control Channel Assignment in CogMesh," Proc. IEEE ICC 2008 (CoCoNets Workshop), Beijing, China, May 19-23, 2008.

    15. Tao Chen, Honggang Zhang, G. M. Maggio, and Imrich Chlamtac, "Topology Management in CogMesh: A Cluster-based Cognitive Radio Mesh Network," Proc. IEEE ICC 2007, Glasgow, UK, June, 2007.

    16. USA Navy SBIR (Small Business Innovation Research), "Topology Management for Directional Antenna-based Networks," Topic N08-198, May 2008,

    17. Marko Höyhtyä and Tao Chen, "Control Issues in Cognitive  Networks," CWC-VTT-Gigaseminar,, December 2008.

    18. Yang Song, Chi Zhang, and Yuguang Michael Fang "Stochastic Traffic Engineering in Multi-hop Cognitive Wireless Mesh Networks,", 2008.

    19. K. R. Chowdhury and Ian F. Akyildiz, "Cognitive Wireless Mesh Networks with Dynamic Spectrum Access," IEEE Journal on Selected Areas in Communications, vol.26, no.1, pp.168-181, Jan.2008.

    20. Qin Xin, Yan Zhang, and Jie Xiang, “Optimal Spectrum Scheduling in Cognitive Wireless Mesh Networks,” ISWCS 2008, Iceland, October 2008.

    21. Zbigniew Dziong, Dinh Dung Luong, Moe Haidar, and Ayoub Alsarha, "Cognitive Wireless Mesh Networks for
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    25. C. Xin, B. Xie, and C. Shen, "A Novel Layered Graph Model for Topology Formation and Routing in Dynamic Spectrum Access Networks,” IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN 2005), pp.308- 317, 2005.

    26. Lance Hester and Ahmad D. Ridley, "Cognitive Radio Networks: Not Your Father’s Wireless Network," The Telecommunications Review, 2008.

    27. A. Attar, S. A. Ghorashi, M. Sooriyabandara, and A. H. Aghvami, "Challenges of Real-time Secondary Usage of Spectrum," Computer Networks: The International Journal of Computer and Telecommunications Networking, Volume 52 , Issue 4, March 2008.

    28. P. D. Sutton, K. E. Nolan, and Linda E. Doyle, "Cyclostationary Signatures in Practical Cognitive Radio Applications," IEEE Journal on Selected Areas in Communications, Vol: 26, Issue: 1, pp.13-24, January 2008.

    29. Manuj Sharma, Anirudha Sahoo, and K. D. Nayak, "Channel Selection under Interference Temperature Model in Multi-hop Cognitive Mesh Networks," IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN 2007), April 2007 (

    30. Hiroyuki Yomo , H. Yomo, P. Popovski, K. Nishimori, and Ramjee Prasad, "Cognitive Mesh Network Under Interference from Primary User Wireless," International Journalof Personal Communications, Volume 45 , Issue 3, Pages: 385-401, May 2008.

    31. Hicham Khalife, Satyajeet Ahuja, Naceur Malouch, and Marwan Krunz, "Probabilistic Path Selection in Opportunistic Cognitive Radio Networks, " Proc. Globecom 2008, December 2008. (


Honggang Zhang,
Jul 11, 2009, 8:51 PM
Honggang Zhang,
Jul 11, 2009, 8:51 PM