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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Main Authors: Wang Tao, Li Wenwei, He Shiming
Format: Article
Language:English
Published: IFSA Publishing, S.L. 2014-04-01
Series:Sensors & Transducers
Subjects:
Online Access:http://www.sensorsportal.com/HTML/DIGEST/april_2014/Vol_168/P_1974.pdf
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spelling 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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