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Cooperative Cognitive Plane for Personal Networks

Cooperative Cognitive Plane for Personal Networks. Wireless and Mobile Communications. Personal Networks: Homecare Scenario. Ecma TC32 PN&F Editing Group, “Personal Networks and their Federations,” Ecma Technical Report , 2009. http://www.ecma-international.org/memento/TC32-PNF-M.htm.

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Cooperative Cognitive Plane for Personal Networks

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  1. Cooperative Cognitive Plane forPersonal Networks Wireless and Mobile Communications

  2. Personal Networks: Homecare Scenario Ecma TC32 PN&F Editing Group, “Personal Networks and their Federations,” Ecma Technical Report, 2009. http://www.ecma-international.org/memento/TC32-PNF-M.htm Rue du Rhône 114 - CH-1204 Geneva - T: +41 22 849 6000 - F: +41 22 849 6001 - www.ecma-international.org 2

  3. Why cognitive? • Need to produce decisions in the presence of • incomplete, inconsistent, maybe misleading or malicious information • conflicting or inconsistent high-level objectives • drastically/instantaneously changing operational conditions • high complexity, • increased number of tunable parameters • spatial and temporal dynamics C. Fortuna, M. Mohorcic, “Trends in the development of communication networks: Cognitive networks,” Computer Networks, vol 53, no 9, June 2009, pp.1354-1376

  4. Cooperation in Personal Networks

  5. Cognitive Control Plane (CCP) • Scene analysis: observes the users, devices, networks, spectral resources… • Recognizes the parameters, measures, assertions and produces conclusions through explanations • Acts: does the reasoning, optimization, adaptation, learning… • Evolves continuously…

  6. Benefits of CCP • reduces the complexity, • increases manageability, • increases usability, • supports application/service portability and compatibility, • enhances security/dependability, • enables evolutionary advancement of the technologies without impacting the users.

  7. Research challenges • Context acquisition, what should be sensed and correlated? • Knowledge/experience routing among cognitive elements • Fault diagnosis and mitigation • Support for users/applications beyond suggestions • Security and trust relations among cognitive elements • Analysis of emergent behavior: conflicts b/w endogenous and exogenous components • Autonomic self-* mechanisms • Analysis of stigmergy of cognitive elements • Distributed/centralized or semi-distributed decision making? • Scalability? • Policies/rules derivation, to which extend the n/w administrator should be in the loop? Governance model? • …

  8. Stigmergy – source wikipedia • Stigmergy is a mechanism of spontaneous, indirect coordination between agents or actions, where the trace left in the environment by an action stimulates the performance of a subsequent action, by the same or a different agent. • Stigmergy is a form of self-organization. • It produces complex, apparently intelligent structures, without need for any planning, control, or even communication between the agents. • As such it supports efficient collaboration between extremely simple agents, who lack any memory, intelligence or even awareness of each other

  9. References • C. Fortuna, M. Mohorcic, “Trends in the development of communication networks: Cognitive networks,” Computer Networks, vol 53, no 9, pp.1354-1376, Jun. 2009. • D.D. Clark, C. Partrige, J.C. Ramming, J.T. Wroclawski, "A knowledge plane for the internet", in Proc. of the SIGCOMM 2003, Karlsruhe, Germany, August 25–29, 2003. • R.W. Thomas, Cognitive Networks, Ph.D. Dissertation, Virginia Polytechnic and State University, Blacksburg, VA, June 15, 2007. • R.W. Thomas, D.H. Friend, L.A. Dasilva and A.B. Mackenzie, "Cognitive networks: adaptation and learning to achieve end-to-end performance objectives," Communications Magazine, IEEE , vol.44, no.12, pp.51-57, Dec. 2006

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