Routing Internet traffic in heterogeneous mesh networks: Analysis and algorithms
In practical wireless mesh networks (WMNs), gateways are subject to hard capacity limits on the aggregate number of flows (in terms of bit rate) that they can support. Thus, if traffic is routed in the mesh network without considering those constraints, as well as the traffic distribution, some gate...
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| Published in | Performance evaluation Vol. 68; no. 9; pp. 841 - 858 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.09.2011
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0166-5316 1872-745X |
| DOI | 10.1016/j.peva.2011.01.006 |
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| Abstract | In practical wireless mesh networks (WMNs), gateways are subject to hard capacity limits on the aggregate number of flows (in terms of bit rate) that they can support. Thus, if traffic is routed in the mesh network without considering those constraints, as well as the traffic distribution, some gateways or intermediate mesh routers may rapidly get overloaded, and the network resources can be unevenly utilized. To address this problem, in this paper we firstly develop a multi-class queuing network model to analyze feasible throughput allocations, as well as average end-to-end delay, in heterogeneous WMNs. Guided by our analysis, we design a
Capacity-Aware Route Selection algorithm (
CARS), which allocates network paths to downstream and upstream Internet flows so as to ensure a more balanced utilization of wireless network resources and gateways’ fixed connections. Through simulations in a number of different network scenarios we show that the CARS scheme significantly outperforms conventional shortest path routing, as well as an alternative routing method that distributes the traffic load on the gateway nodes to minimize its variance. |
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| AbstractList | In practical wireless mesh networks (WMNs), gateways are subject to hard capacity limits on the aggregate number of flows (in terms of bit rate) that they can support. Thus, if traffic is routed in the mesh network without considering those constraints, as well as the traffic distribution, some gateways or intermediate mesh routers may rapidly get overloaded, and the network resources can be unevenly utilized. To address this problem, in this paper we firstly develop a multi-class queuing network model to analyze feasible throughput allocations, as well as average end-to-end delay, in heterogeneous WMNs. Guided by our analysis, we design a Capacity-Aware Route Selection algorithm (CARS), which allocates network paths to downstream and upstream Internet flows so as to ensure a more balanced utilization of wireless network resources and gateways' fixed connections. Through simulations in a number of different network scenarios we show that the CARS scheme significantly outperforms conventional shortest path routing, as well as an alternative routing method that distributes the traffic load on the gateway nodes to minimize its variance. In practical wireless mesh networks (WMNs), gateways are subject to hard capacity limits on the aggregate number of flows (in terms of bit rate) that they can support. Thus, if traffic is routed in the mesh network without considering those constraints, as well as the traffic distribution, some gateways or intermediate mesh routers may rapidly get overloaded, and the network resources can be unevenly utilized. To address this problem, in this paper we firstly develop a multi-class queuing network model to analyze feasible throughput allocations, as well as average end-to-end delay, in heterogeneous WMNs. Guided by our analysis, we design a Capacity-Aware Route Selection algorithm ( CARS), which allocates network paths to downstream and upstream Internet flows so as to ensure a more balanced utilization of wireless network resources and gateways’ fixed connections. Through simulations in a number of different network scenarios we show that the CARS scheme significantly outperforms conventional shortest path routing, as well as an alternative routing method that distributes the traffic load on the gateway nodes to minimize its variance. |
| Author | Pinizzotto, Antonio Conti, Marco Bruno, Raffaele |
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| CitedBy_id | crossref_primary_10_1016_j_comcom_2013_09_004 crossref_primary_10_1016_j_comcom_2011_09_001 crossref_primary_10_1007_s11107_014_0471_1 crossref_primary_10_1109_MCOM_2014_6710069 crossref_primary_10_3390_s17071678 |
| Cites_doi | 10.1109/TMC.2007.70778 10.1109/ICN.2009.21 10.1145/972374.972380 10.1145/1023720.1023732 10.1016/j.comnet.2006.09.018 10.1145/1023756.1023776 10.1109/MAHSS.2008.4660098 10.1109/TNET.2007.904010 10.1109/ICC.2006.255550 10.1145/1140103.1140284 10.1109/WOWMOM.2009.5282474 10.1109/TNET.2007.893091 10.1145/1364654.1364679 10.1109/SAHCN.2008.38 10.1016/j.adhoc.2007.12.001 10.1109/MCOM.2005.1404606 10.1109/AINAW.2007.50 10.1145/938985.939000 10.1109/INFCOM.2007.236 10.1145/1641804.1641819 |
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| Keywords | Performance evaluation Routing Load balancing Wireless mesh networks Capacity modeling |
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| SubjectTerms | Algorithms Capacity modeling Computer networks Finite element method Internet Load balancing Networks Performance evaluation Routing Routing (telecommunications) Traffic engineering Traffic flow Wireless mesh networks |
| Title | Routing Internet traffic in heterogeneous mesh networks: Analysis and algorithms |
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