THALIS Project CROWN

1. THALIS Project CROWN Overview Presentation LeandrosTassiulas

2. Big Picture: Challenges in Wireless Networking • Understand emergent complex structures of large-scale networks • Interaction between large numbers of nodes gives rise to macroscopic network behavior • This behavior cannot be predicted from analysis of a few entities • Adapt to mandate for distributed wireless network management and control • Centrally controlled optimization inadequate • Real-time adaptive and distributed methods are needed • Optimize a global objectives or deal with several (possibly conflicting) objectives

3. Big Picture: Challenges in Wireless Networking (cont.) • Need for real-time large-scale network monitoring • Centrally controlled optimization inadequate • Real-time adaptive and distributed methods are needed • Optimize a global objectives or deal with several (possibly conflicting) objectives • Extremely challenged environments • Intermittent connectivity • Excessive delays • Fast topology changes due to mobility

4. Two associated pillars • Self-awareness • Capability of acquiring network status, reasoning and realizing certain reactions based on extracted network information, in the presence of inaccurate, delayed or incomplete such information • Information collection, information fusion • E.g. performance measures, resource availability, topology information, interference, traffic load spatiotemporal petterns • Self-organization • Incorporate self-awareness into network management control loop • Based on individual optimization criteria, • Or towards a global objective

5. CROWN work • Uncoordinated (autonomic) wireless node interaction • ultimate network operational regime determined by conflicting interests of nodes, inherent competition incurred by limited resources, or by natural inclination of nodes to join forces and engage in coalitions • Coordinatedmechanisms, with aim to optimize a global metric. • optimization achieved through distributed interaction between nodes. • Exemplification of methods above in extremely challenged network environments of intermittent connectivity • manage wireless resources for optimizing wireless network performance, i.e., maximizing transport capacity, minimizing transport latency, and minimizing energy expenditure.

6. CROWN Objectives • Develop a systematic methodology for understanding fundamental performance limits in building and exploiting self-awareness in wireless network management • Understand and optimize fundamental tradeoffs for creation and evolution of self-awareness, • crucial accuracy-energy-latency-overhead tradeoff which has direct ramifications for efficient wireless network management • Design methods for developing self-awareness through extraction of knowledge from wireless networked system with statistical learning and dynamic and selective network feedback collection and processing. • Fortify autonomic network operation by efficiently coping with resource conflicts, selfishness and competition and guide network to the optimal operating point

7. CROWN Objectives (cont.) • Understand the laws that connect microscopic control (simple local interactions) with macroscopic phase transition and threshold phenomena in network operation. • Harvest potential of coordinated belief propagation methods inspired by statistical mechanics to optimize network connectivity and resolve long-standing challenges • source detection and localization problems • Develop decentralized coordinated optimization approaches towards achieving network performance objectives • coordination achieved through intelligent signals passed through the network. • Use the delay-tolerant wireless network paradigm as a case study platform

8. CROWN Structure • WP1: Understanding and influencing uncoordinated interactions of autonomic wireless networks (Leader: UTH) • WP2: Optimization through network coordination (Leader: NKUA) • WP3: Autonomic and collaborative protocols in wireless DTNs (Leader: AUEB) • WP4: Management and Dissemination (Leader: UTH)