Node Load Balance Multi-flow Opportunistic Routing in Wireless Mesh Networks
Opportunistic routing (OR) has been proposed to improve the performance of wireless networks by exploiting the multi-user diversity and broadcast nature of the wireless medium. It involves multiple candidate forwarders to relay packets every hop. The existing OR doesn’t take account of the traffic l...
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IFSA Publishing, S.L.
2014-04-01
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Online Access: | http://www.sensorsportal.com/HTML/DIGEST/april_2014/Vol_168/P_1974.pdf |
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doaj-645bc1b1b2564037b59947b248eb9d992020-11-25T00:09:39ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792014-04-011684162172Node Load Balance Multi-flow Opportunistic Routing in Wireless Mesh Networks Wang Tao0Li Wenwei1He Shiming2College of Information Science and Engineering, Hunan City University, Yiyang, 413000, China College of information science and engineering, Hunan University, Changsha, 410082, ChinaCollege of information science and engineering, Hunan University, Changsha, 410082, ChinaOpportunistic routing (OR) has been proposed to improve the performance of wireless networks by exploiting the multi-user diversity and broadcast nature of the wireless medium. It involves multiple candidate forwarders to relay packets every hop. The existing OR doesn’t take account of the traffic load and load balance, therefore some nodes may be overloaded while the others may not, leading to network performance decline. In this paper, we focus on opportunities routing selection with node load balance which is described as a convex optimization problem. To solve the problem, by combining primal-dual and sub-gradient methods, a fully distributed Node load balance Multi-flow Opportunistic Routing algorithm (NMOR) is proposed. With node load balance constraint, NMOR allocates the flow rate iteratively and the rate allocation decides the candidate forwarder selection of opportunities routing. The simulation results show that NMOR algorithm improves 100 %, 62 % of the aggregative throughput than ETX and EAX, respectively.http://www.sensorsportal.com/HTML/DIGEST/april_2014/Vol_168/P_1974.pdfWireless mesh networksLoad balanceOpportunistic routing. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wang Tao Li Wenwei He Shiming |
spellingShingle |
Wang Tao Li Wenwei He Shiming Node Load Balance Multi-flow Opportunistic Routing in Wireless Mesh Networks Sensors & Transducers Wireless mesh networks Load balance Opportunistic routing. |
author_facet |
Wang Tao Li Wenwei He Shiming |
author_sort |
Wang Tao |
title |
Node Load Balance Multi-flow Opportunistic Routing in Wireless Mesh Networks |
title_short |
Node Load Balance Multi-flow Opportunistic Routing in Wireless Mesh Networks |
title_full |
Node Load Balance Multi-flow Opportunistic Routing in Wireless Mesh Networks |
title_fullStr |
Node Load Balance Multi-flow Opportunistic Routing in Wireless Mesh Networks |
title_full_unstemmed |
Node Load Balance Multi-flow Opportunistic Routing in Wireless Mesh Networks |
title_sort |
node load balance multi-flow opportunistic routing in wireless mesh networks |
publisher |
IFSA Publishing, S.L. |
series |
Sensors & Transducers |
issn |
2306-8515 1726-5479 |
publishDate |
2014-04-01 |
description |
Opportunistic routing (OR) has been proposed to improve the performance of wireless networks by exploiting the multi-user diversity and broadcast nature of the wireless medium. It involves multiple candidate forwarders to relay packets every hop. The existing OR doesn’t take account of the traffic load and load balance, therefore some nodes may be overloaded while the others may not, leading to network performance decline. In this paper, we focus on opportunities routing selection with node load balance which is described as a convex optimization problem. To solve the problem, by combining primal-dual and sub-gradient methods, a fully distributed Node load balance Multi-flow Opportunistic Routing algorithm (NMOR) is proposed. With node load balance constraint, NMOR allocates the flow rate iteratively and the rate allocation decides the candidate forwarder selection of opportunities routing. The simulation results show that NMOR algorithm improves 100 %, 62 % of the aggregative throughput than ETX and EAX, respectively. |
topic |
Wireless mesh networks Load balance Opportunistic routing. |
url |
http://www.sensorsportal.com/HTML/DIGEST/april_2014/Vol_168/P_1974.pdf |
work_keys_str_mv |
AT wangtao nodeloadbalancemultiflowopportunisticroutinginwirelessmeshnetworks AT liwenwei nodeloadbalancemultiflowopportunisticroutinginwirelessmeshnetworks AT heshiming nodeloadbalancemultiflowopportunisticroutinginwirelessmeshnetworks |
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1725410631347077120 |