Name
Abstract | ||
|---|---|---|
Complex interference in static multi-hop wireless mesh networks can adversely affect transport protocol performance. Since TCP does not explicitly account for this, starvation and unfairness can result from the use of TCP over such networks. In this paper, we explore mechanisms for achieving fair and efficient congestion control for multi-hop wireless mesh networks. First, we design an AIMD-based rate-control protocol called Wireless Control Protocol (WCP) which recognizes that wireless congestion is a neighborhood phenomenon, not a node-local one, and appropriately reacts to such congestion. Second, we design a distributed rate controller that estimates the available capacity within each neighborhood, and divides this capacity to contending flows, a scheme we call Wireless Control Protocol with Capacity estimation (WCPCap). Using analysis, simulations, and real deployments, we find that our designs yield rates that are both fair and efficient, and achieve near optimal goodputs for all the topologies that we study. WCP achieves this level of performance while being extremely easy to implement. Moreover, WCPCap achieves the max-min rates for our topologies, while still being distributed and amenable to real implementation. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1409944.1409978 | MobiCom |
Keywords | Field | DocType |
neighborhood phenomenon,real deployment,efficient congestion control,wireless control protocol,understanding congestion control,wireless congestion,real implementation,available capacity,aimd-based rate-control protocol,static multi-hop wireless mesh,multi-hop wireless mesh network,col,wireless mesh network,congestion control,wireless,transport protocol | Switched mesh,Wireless,Computer science,IEEE 802.11s,Order One Network Protocol,Computer network,Network topology,Network congestion,Wireless mesh network,Shared mesh,Distributed computing | Conference |
Citations | PageRank | References |
47 | 1.94 | 41 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sumit Rangwala | 1 | 644 | 44.94 |
| Apoorva Jindal | 2 | 306 | 15.79 |
| Ki-Young Jang | 3 | 140 | 6.98 |
| Konstantinos Psounis | 4 | 4042 | 222.36 |
| ramesh govindan | 5 | 15430 | 2144.86 |