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Presented by Pasi Maliniemi

Fisheye State Routing (FSR) G. Pei, M. Gerla, Tsu-Wei Chen, "Fisheye State Routing: A Routing Scheme for Ad Hoc Wireless Networks," IEEE ICC 2000 , vol. 1, pp. 70 -74. Presented by Pasi Maliniemi. Presentation outline. Fisheye vision Fisheye State Routing (FSR) Routing technique comparison

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Presented by Pasi Maliniemi

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  1. Fisheye State Routing (FSR)G. Pei, M. Gerla, Tsu-Wei Chen, "Fisheye State Routing: A Routing Scheme for Ad Hoc Wireless Networks," IEEE ICC 2000, vol. 1, pp. 70 -74. Presented by Pasi Maliniemi

  2. Presentation outline • Fisheye vision • Fisheye State Routing (FSR) • Routing technique comparison • FSR Simulation Results • FSR - Summary • References

  3. Fisheye vision • Fish do have 360° (or almost) vision. • Fishes (and humans) do have a higher concentration of optic nerves close to they focal point than elsewhere in they eye. • As a result fisheye captures with high detail the points near the focal point

  4. Fisheye vision Fisheye View of Polaris. Dennis Anderson (2002)

  5. Fisheye State Routing (FSR) • For routing this approach translates into an accurate information in the immediate neighborhood of a node and less detail as the distance increases. • FSR is similar to link state (LS) routing in that each node maintains a view of the network topology with a cost for each link. • In LS routing link state packets are flooded into the network whenever a node detects a topology change.

  6. Fisheye State Routing (FSR) • In FSR nodes maintain a topology table (TT) based on the up-to-date information received from neighboring nodes and periodically exchange it with their local neighbors. • For large networks in order to reduce the size of the routing update messages the FSR technique uses different exchange periods for different entries in the routing table. • Relative to each node the network is divided in different scopes.

  7. Scopes of FSR 33 3 8 9 5 1 2 4 10 7 13 18 12 14 19 6 21 11 22 15 23 16 17 20 36 29 35 24 27 25 26 28 34 30 32 1 hop 31 2 hops 3 or more hops

  8. Routing technique comparison

  9. Message Reduction in FSR TT HOP 0 TT HOP 0:{1} 1:{0,2,3} 2:{5,1,4} 3:{1,4} 4:{5,2,3} 5:{2,4} 1 0 1 1 2 2 0:{1} 1:{0,2,3} 2:{5,1,4} 3:{1,4} 4:{5,2,3} 5:{2,4} 2 1 2 0 1 2 1 3 TT HOP Entries in black are exchanged more frequently 0:{1} 1:{0,2,3} 2:{5,1,4} 3:{1,4} 4:{5,2,3} 5:{2,4} 2 2 1 1 0 1 2 4 5

  10. Simulation Results

  11. Simulation Results

  12. FSR - Summary • Routing table entries for a given destination are updated, i.e. exchanged with the neighbors, with progressively lower frequency as distance to destination increases • The further away the destination, the less accurate the route • As a packet approaches destination, the route becomes progressively more accurate

  13. FSR - Summary • Benefits • Scales well to large network sizes • Control traffic overhead is manageable • Problems • Route table size still grows linearly with network size • As mobility increases routes to remote destinations become less accurate • What happens if the target node is out of the scope of all nodes in the source nodes scope

  14. References • G. Pei, M. Gerla, Tsu-Wei Chen, "Fisheye State Routing: A Routing Scheme for Ad Hoc Wireless Networks," IEEE ICC 2000, vol. 1, pp. 70 -74. • Carlos Pomalaza-Ráez, Ad Hoc Networks - course material, University of Oulu

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