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FishEye routing

Explore the implementation and evaluation of Fisheye State Routing (FSR) protocol, focusing on scalability, adaptability to topology changes, and performance in large and highly mobile ad hoc wireless networks. The study analyzes the advantages, drawbacks, and simulation results of FSR in handling routing loads and improving network efficiency.

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FishEye routing

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Presentation Transcript

  1. Joseph Fyneface Shabrina Jauhal Lai Dong Li Adrian Rodriguez FishEye routing Dr. SivakumarECE 4607

  2. Background • Ad hoc wireless networks • Routing mechanisms • Proactive: Distance vector or link state based • On Demand: AODV and DSR • Zone Routing Protocol (ZRP) • Scalability to global routing table overhead

  3. Objectives • Mobility with large number of nodes • Limited resources – bandwidth and power • High throughput during heavy traffic flow • Quick adaptation to frequent topology changes

  4. Fisheye State Routing Protocol • Maintains accurate distance and path quality information about immediate neighbors of a node and less details as the distance increases • Each node has a unique identifier • Link state packets are not flooded, instead, neighboring nodes exchange up-to-date information • Route becomes more progressive more accurate as packet gets closer to destination

  5. FSR Protocol • Pros • Suitable for large and highly mobile networks • Mainly based for simplicity • Robust to host mobility • Cons • Limits scalability • Processing overhead and routing table storage • No security

  6. Message Reduction Uses different exchange periods for entries with different distances Neighbors have more frequent exchanges

  7. Simulation Evaluation • Routing scheme uses GloMosim library • Uses RTS and CTS to provide virtual carrier sensing for unicast data packets • Simulation utilizes waypoint model in which node selects destination randomly and moves toward it • Traffic is UDP session between random node pairs • Load in the network is increased by increasing number of connections

  8. Simulation Results – Scope Number • Overhead is reduced with increasing fisheye scopes • Not much reduction beyond 3 scopes • Having multiple scopes decreases the routing accuracy and lowers network performance

  9. Simulation Results – Routing Load

  10. Simulation Results – Efficiency

  11. Conclusion • Fisheye routing is efficient and scalable • FSR is desirable for large networks • FSR is flexible

  12. Questions

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