1. Smart Networks Project UC Berkeley / Cisco May 27, 2003

2. UCB - Smart Networks Project2 May 27, 2003 Team CISCO  David Jaffe UCB  Venkat Anantharam  David Tse  Pravin Varaiya  Jean Walrand COLLABORATION WITH  UIUC (J. Hou)  Georgia Tech (R. Fujimoto)  UCLA (R. Bagrodia)  Eric Chi  Antonios Dimakis  Linhai He  Bill Hodge  Zhanfeng Jia  John Musacchio  Jun Shu  Wilson So  Teresa Tung  Undergraduate Students

3. UCB - Smart Networks Project3 May 27, 2003 Outline Goals Approach Illustrations  Routing  Clustering  Channel Allocation Contributions Future Work

4. UCB - Smart Networks Project4 May 27, 2003 Goals Scalable & Robust QoS Routing in MANET Scalable: Hundreds of Nodes Robust: Fast rerouting as network changes QoS: Urgent Messages (CFF), Urgent Flows (Voice), Expedited Flows (Video Streams), BE Video Voice Video

5. UCB - Smart Networks Project5 May 27, 2003 Approach Hierarchical: for scalability Routing: two levels Clustering: randomized algorithm Channel allocation: simulated annealing

6. UCB - Smart Networks Project6 May 27, 2003 Approach Hierarchical

7. UCB - Smart Networks Project7 May 27, 2003 Approach Dynamic Clustering Gateways

8. UCB - Smart Networks Project8 May 27, 2003 Benefits of Clustering Decomposes problem Simplifies tables Limit change announcements Reduces control messages Acceptable sub-optimality

9. UCB - Smart Networks Project9 May 27, 2003 Approach: Routing Decomposition Decomposed into intra-cluster and inter-cluster Source Dest

10. UCB - Smart Networks Project10 May 27, 2003 Approach: Dynamic Clustering Distributed randomized algorithm Limits cut-sets Targets a cluster size

11. UCB - Smart Networks Project11 May 27, 2003 Approach: Channel Allocation Objective: Maximize capacity while maintaining connectivity Approach: Simulated annealing

12. UCB - Smart Networks Project12 May 27, 2003 Illustration: Routing Routing  Hierarchical link-state routing protocol  Dynamic load balancing  Considers wireless channel sharing effects  More in the demo …

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16. UCB - Smart Networks Project16 May 27, 2003 Illustration: Clustering Clustering  An example with 100 nodes

17. UCB - Smart Networks Project17 May 27, 2003 + : node w/ longer range radio. : node w/ shorter range radio : gateway nodes of a cluster 50km Clusters Shorter range radio: 3.5km

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28. UCB - Smart Networks Project28 May 27, 2003 Illustration: Channel Allocation Channel Allocation  Example 1: Single cluster; each node has 1 radio.  Example 2: 4 clusters; gateways have 2 radios, others have 1.  More in the demo …

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42. UCB - Smart Networks Project42 May 27, 2003 Channel Allocation (4 clusters example)

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68. UCB - Smart Networks Project68 May 27, 2003 Contributions New Algorithms  Clustering: Randomized Algorithm  Channel Allocation: Simulated Annealing with a suitable potential function  Routing: New structure of constraints Evaluation and Testing Environment  Simulates Mobility  Models Flows  Implements Algorithms  Evaluates Performance

69. UCB - Smart Networks Project69 May 27, 2003 Future Work Fundamental Problems:  Packet-based Channel Allocation  QoS through bandwidth limits  Fast rerouting of multiple flows  Proof of correctness and convergence  Model of TDM radios  Traffic sensitive channel allocation