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Scalable Ad Hoc Routing: The Case for Dynamic Addressing INFOCOM 2004 Jakob Eriksson, Michalis Faloutsos, Srikanth Krishnamurthy University of California,

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Presentation on theme: "Scalable Ad Hoc Routing: The Case for Dynamic Addressing INFOCOM 2004 Jakob Eriksson, Michalis Faloutsos, Srikanth Krishnamurthy University of California,"— Presentation transcript:

1 Scalable Ad Hoc Routing: The Case for Dynamic Addressing INFOCOM 2004 Jakob Eriksson, Michalis Faloutsos, Srikanth Krishnamurthy University of California, Riverside

2 Introduction Why dynamic addressing? Address equals to identity is impropriate in ad hoc (especially mobility) networks Dynamic addressing in ad hoc network: How to allocate address? How to route? How to perform node lookup? The methods should be: Localize overhead Avoid centralized protocols or special nodes Minimize manual configuration

3 Terminologies Identifier: globally unique Address: changes with node movement Address tree: the address space can be viewed as the leaves of a binary tree Address subtree: a range of addresses with a common prefix Level-k sibling

4 Example of address tree, address subtree, and level-k sibling xxx 0xx1xx 00x01x10x 11x 000001010 011 100101110 111 L0 L1 L2

5 Address allocation The responding node splits its controlling address into half 000 A 01x00x10x11x 0xx1xx xxx 100 B 1. B joins via A 110 C 2. C joins via B 010 D 3. D joins via A

6 Characteristics of the method Level-0 sibling: physically connected directly The leaves of the same subtree: form a physically connected sub-graph 000001010011100101110111 DCABSE-- 00x01x10x11x 0xx 1xx xxx S AB DE C 010 011 100 101 001000 Node S enters the networks through node D, should these two nodes be physically connected?

7 Routing xxx 1xx 10x 100 0xx 11x 101 A node keeps one entry for each level-i sibling in its routing table

8 Routing example 000001010011100101110111 DCABSE-- 00x01x10x11x 0xx 1xx xxx Node S = 100 Level 2 : B Level 1 : E? Level 0 : E Node B = 011 Level 2 : S Level 1 : C Level 0 : A Node C = 001 Level 2 : E Level 1 : B Level 0 : D S AB DE C 010 011 100 101 001000

9 Node lookup Each mapping is stored on one node in the network XOR-distance criterion A Addr:000 ID:0101 B Addr:001 ID:1101 C Addr:010 ID: 0010 Where should store the mapping of C? A: 000 xor 010 = 010 B: 001 xor 010 = 011 C: 010 xor 010 = 000  Stores in B Can be replaced by any prior known functions

10 Improvements in node moving and lookup entry updates Challenge: Lookup entries have to be updated when moving Improving method: Use xor-distance criterion with 1 or more of the most significant bits removed Choose a local node that fits the criterion

11 Simulation environment NS-2 network simulator v 2.26 with Random Waypoint mobility model with Max speed: 10m/s, min speed: 0.5m/s Duration = 300 s (Traffic load: 12000 packets of 512 bytes, not restricted to particular source or destination) Ignore node lookup process, replaced by a global lookup table Simulator developed by themselves. Based on NS-2, replace MAC and physical layers with a simple reliable message exchange to improve simulation times

12 Simulation result A: address space utilization # of nodes: 12~4,000 nodes 64-bit address Node degree: between 6 and 8

13 Simulation result B: path stretch Path stretch: routing path length is over the shortest path length Create static random topologies with size ranging from 125 to 1000 nodes

14 Simulation result C: routing scalability CEF: frequency of connection establishment Network size: 400 nodes Connection frequency: ½ to 50 per second

15 Topology and address allocation Star-like topology If the central node has address [000…0], its neighbors will be [100…0], [010…0], [001…0],... [000…1]. Only l addresses are available Typical ad hoc networks: not realistic, unless considering natural obstacles Base station

16 Topology and address allocation String topology: worst case scenario If address of u0: [000…0], u1 to un-1 will be [100…0], [110…0],…[111…1], respectively Extremely uncommon Address space locally exhausted  use NAT Many identifiers are mapped to a single address The “inner” address can serve many nodes

17 Conclusion Present methods for dynamic addressing Distinguish id and address Routing complexity: O(logN), not based on flooding or broadcasting No manual configuration No need for central servers or geographical information (GPS)

18 Pre-reading advice J. Eriksson, M. Faloutsos, and S. Krishnamurthy, Peernet: Pushing peer-2- peer down the stack. in IPTPS, 2003


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