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Impact of interference on multi-hop wireless network performance
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Source International Conference on Mobile Computing and Networking archive
Proceedings of the 9th annual international conference on Mobile computing and networking table of contents
San Diego, CA, USA
SESSION: Wireless network performance table of contents
Pages: 66 - 80  
Year of Publication: 2003
ISBN:1-58113-753-2
Authors
Kamal Jain  Microsoft Research, Redmond, WA
Jitendra Padhye  Microsoft Research, Redmond, WA
Venkata N. Padmanabhan  Microsoft Research, Redmond, WA
Lili Qiu  Microsoft Research, Redmond, WA
Sponsors
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this paper, we address the following question: given a specific placement of wireless nodes in physical space and a specific traffic workload, what is the maximum throughput that can be supported by the resulting network? Unlike previous work that has focused on computing asymptotic performance bounds under assumptions of homogeneity or randomness in the network topology and/or workload, we work with any given network and workload specified as inputs.A key issue impacting performance is wireless interference between neighboring nodes. We model such interference using a conflict graph, and present methods for computing upper and lower bounds on the optimal throughput for the given network and workload. To compute these bounds, we assume that packet transmissions at the individual nodes can be finely controlled and carefully scheduled by an omniscient and omnipotent central entity, which is unrealistic. Nevertheless, using ns-2 simulations, we show that the routes derived from our analysis often yield noticeably better throughput than the default shortest path routes even in the presence of uncoordinated packet transmissions and MAC contention. This suggests that there is opportunity for achieving throughput gains by employing an interference-aware routing protocol.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  114

Collaborative Colleagues:
Kamal Jain: colleagues
Jitendra Padhye: colleagues
Venkata N. Padmanabhan: colleagues
Lili Qiu: colleagues