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An End-to-end Approach to Increase TCP Throughput Over Ad-hoc Networks Sarah Sharafkandi and Naceur Malouch
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2 Introduction TCP is designed for wired networks Congestion control : window-based With IEEE 802.11 PHY & MAC, TCP over Ad-hoc has a low performance: congestion control and not “collision” control: TCP react to buffer overflow " bursty " traffic inherent reverse traffic Objective: Improve TCP throughput without modifying PHY, MAC and NET layers.
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3 When collision causes DATA loss? By hidden nodes: packets sent by D collide with A’s packets at node B preventing B from decoding A’s packets. By repetitive retries due to “ordinary” collisions: it happens when C* rare event By buffer overflow : due to increased waiting times not considered in this work
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4 State of the art Distributed Link RED and Adaptive pacing [Fu et al. INFOCOM’2003] If the average number of retransmission retry > min_thresh : early drop of packets increase the backoff period Improvement: 10%-30% for the chain topology Increasing retry limit and optimum packet size [Jiang et al. DISCEX’O3] Increasing the retry limit reduces oscillations in the instantaneous thpt Increasing the packet size increases the thpt till some thresh Improving TCP throughput using Delayed ack method [Altman et al. MADNET’03] delayed ack factor = 2, 3
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5 An end-to-end approach to “collision control” ?!
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6 Simulation Scenario NS2 network simulator Chain topology The source and destination at both ends of the chain AODV as a routing protocol Some modifications to the source code of NS2: delayed ack > 2 monitoring without file traces token bucket: packet version
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7 TCP Sends the packets in “burst” Two experiments to show the effect of “burstiness” Simulation with TCP using RFC3465 Simulation with CBR traffic
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8 Simulation with TCP using RFC3465 The “burstiness” of RFC3465 results in throughput reduction despite the gain in the window growth
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9 Simulation with CBR traffic: Results Best result is when there is packet spacing “burstiness” is minimum i CBR traffics with rate r/i, i = 1, 2, 3, 4.
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10 New approach Bursty data traffic over Ad-hoc networks results to performance reduction Shaping : Controls the rate of releasing packets to the network No more aggressive traffic Plus delayed ack approaches the optimal channel reuse
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11 Throughput of TCP with shaper and delayed ack Shaper increases the TCP throughput by 53%-120%
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12 Shaper and Delayed ack Shaper allow delayed ack mechanism to bypass the limit of d=3
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13 Optimum rate There is always an optimum rate for the shaper in which TCP has the best performance
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14 TCP throughput as a function of Number of hops Optimum rate decreases when number of hops increases
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15 Impact of bucket size A data can pass through the shaper only if it can get a token from token buffer. We can use it to test again the effect of burstiness
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16 Tokens Again allowing “burstiness” results to throughput reduction
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17 Effectiveness of Shaping in presence of CBR Traffic Network scenario : same source/destination for UDP traffic UDP share all the ad-hoc routers with TCP Compute the gain while increasing the rate of UDP:
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18 Conclusion TCP throughput drops significantly because of: link contention caused by hidden terminal problem An "aggressive“ TCP sender causes an increased contention at the MAC layer Implementing a shaper at the sender improves TCP throughput by controlling the aggression of TCP data traffic Delayed ack mechanism plus the shaper → increase spatial channel reuse
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19 Future work An adaptive algorithm for finding the optimum rate difficulties: convergence and stability Related work: [ElRakabawy et al. MobiHoc’2005] same idea: end-to-end solution BUT : change TCP protocol for the multihop wireless ad-hoc based on the esimation of the 4-hop transmission delay Our approach :
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