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A High-Throughput Path Metric for Multi-Hop Wireless Routing Douglas S. J. De Couto, Daniel Aguayo, John Bicket, Robert Morris MIT Computer Science and.

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Presentation on theme: "A High-Throughput Path Metric for Multi-Hop Wireless Routing Douglas S. J. De Couto, Daniel Aguayo, John Bicket, Robert Morris MIT Computer Science and."— Presentation transcript:

1 A High-Throughput Path Metric for Multi-Hop Wireless Routing Douglas S. J. De Couto, Daniel Aguayo, John Bicket, Robert Morris MIT Computer Science and Artificial Intelligence Laborotory Presented by Souvik Sen

2 Minimum Hop Count Links in route share radio spectrum Extra hops reduce throughput Throughput = 1 Throughput = 1/2 Throughput = 1/3

3 Min hop-count metric does not always choose highest-throughput path available!!!  Assumes links either work or don’t work  Maximize the loss ratio of each hop  Arbitrarily chooses among same length paths  Retransmission reduces throughput increases interference  Thresholds to discard lossy links may disconnect network Question – Is there a “better” metric ? Problems

4 Hop-count penalty Better

5 Challenge: many links are asymmetric Many links are good in one direction, but lossy in the other. Links with intermediate Loss Ratio Very asymmetric link.

6 Effect of asymmetry 100% 8% But, throughput of B-A = 0.08 B-C-A = 0.5 B successfully receives all of A’s route ads, and installs a one- hop route to A. A C B 100%

7 Throughput differs between paths Paths from 23 to 36

8 ETX metric: Design goals Find high-throughput paths Account for lossy links Account for asymmetric links Account for inter-link interference Independent of network load (don’t incorporate congestion)‏

9 A New Metric? SINR threshold?  Nodes Unreachable Multiply link ratios? 11 1 = 1.95 ~ 2 Throughput End to End Delay? -Depends on interface queue lengths

10 ETX: Minimize the Expected Transmission Count Link throughput  1/ Link ETX Delivery Ratio 100% 50% 33% Throughput 100% 50% 33% Link ETX 1 2 3

11 Calculating link ETX Assuming 802.11 link-layer acknowledgements (ACKs) and retransmissions: P(TX success) = P(Data success)  P(ACK success)‏ Estimating link ETX: P(Data success)  measured fwd delivery ratio r fwd P(ACK success)  measured rev delivery ratio r rev Link ETX  1 / (r fwd  r rev )‏ ETX (path) = ∑ ETX(link)‏

12 Measuring Delivery Ratios Each node broadcasts small link probes (134 bytes), once per second Nodes remember probes received over past 10 seconds Reverse delivery ratios estimated as r rev  pkts received / pkts sent Forward delivery ratios obtained from neighbors (piggybacked on probes)‏

13 Test Specifics: Indoor network, 802.11b, ‘ad hoc’ mode 1 Mbps, 1 mW, small packets (134 bytes), RTS/CTS disabled DSDV + modifications to respect metrics  Packets are routed using route table snapshot to avoid route instability under load. DSR + modifications to respect metrics

14 DSDV overhead ‘Best’ DSDV+ETX DSDV+hop-count ETX and DSDV

15 Big packets

16 Comparison with min-hop (higher power)‏ DSDV hop-count DSDV ETX

17 DSR with ETX (no TX feedback)‏ DSR+ETX ‘Best’ DSR+ hop-count

18 DSR with ETX(With Tx Feedback)‏ DSR+ETX ‘Best’ DSR+ hop-count

19 ETX Performance “Broadcast” has lower priority Probe size ≠ Data/Ack size  Under-estimates data loss ratios, over-estimates ACK loss ratios For >= 4 hops, may choose a slower path with fewer hops ETX assumes all links run at one bit-rate, at the same Power Link-layer feedback already does a good job for DSR‏

20 Conclusion / Thoughts Proposed new metric to accommodate lossy/asymmetric links Detailed experiments on real testbed Favours shorter paths! Inter-hop interference accounting problematic  Probe Packets may suffer from interference due to a hidden terminal Is Traffic Independent:  Congestion / Link loss separation ?


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