A distributed maximal link scheduler for multi Tx/Rx Wireless Mesh Networks

Recently, researchers have developed Wireless Mesh Networks (WMNs) where each router is capable of performing multiple transmissions or receptions concurrently; aka Multi Tx-Rx (MTR) WMNs. Consequently, each node is able to transmit (Tx) or receive (Rx) to/from its neighbors simultaneously. A fundam...

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Main Authors: Wang, H., Chin, K., Raad, R., Soh, Sie Teng
Format: Conference Paper
Published: 2014
Online Access:http://hdl.handle.net/20.500.11937/50419
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author Wang, H.
Chin, K.
Raad, R.
Soh, Sie Teng
author_facet Wang, H.
Chin, K.
Raad, R.
Soh, Sie Teng
author_sort Wang, H.
building Curtin Institutional Repository
collection Online Access
description Recently, researchers have developed Wireless Mesh Networks (WMNs) where each router is capable of performing multiple transmissions or receptions concurrently; aka Multi Tx-Rx (MTR) WMNs. Consequently, each node is able to transmit (Tx) or receive (Rx) to/from its neighbors simultaneously. A fundamental problem in such WMNs is to derive a transmission schedule with minimal superframe length to maximize network capacity and minimize end-to-end delays. Unfortunately, deriving a minimal superframe length is equivalent to solving the NP-complete, MAX-CUT problem. To this end, there are a number of centralized schedulers, but only but only one distributed scheduler, called JazzyMAC. Henceforth, in this paper, we add to the state-of-the-art by proposing Algo-d, a novel distributed scheduler that solves the MAX-CUT problem using only local information. Experiment results show Algo-d generates superframes that are 37.5% shorter and it activates 264% more links as compared to JazzyMAC. Lastly, as compared to centralized schedulers, Algo-d schedules 50% more links than Algo-1 and at most 7% fewer links than Algo-2.
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spelling curtin-20.500.11937-504192018-03-29T09:09:37Z A distributed maximal link scheduler for multi Tx/Rx Wireless Mesh Networks Wang, H. Chin, K. Raad, R. Soh, Sie Teng Recently, researchers have developed Wireless Mesh Networks (WMNs) where each router is capable of performing multiple transmissions or receptions concurrently; aka Multi Tx-Rx (MTR) WMNs. Consequently, each node is able to transmit (Tx) or receive (Rx) to/from its neighbors simultaneously. A fundamental problem in such WMNs is to derive a transmission schedule with minimal superframe length to maximize network capacity and minimize end-to-end delays. Unfortunately, deriving a minimal superframe length is equivalent to solving the NP-complete, MAX-CUT problem. To this end, there are a number of centralized schedulers, but only but only one distributed scheduler, called JazzyMAC. Henceforth, in this paper, we add to the state-of-the-art by proposing Algo-d, a novel distributed scheduler that solves the MAX-CUT problem using only local information. Experiment results show Algo-d generates superframes that are 37.5% shorter and it activates 264% more links as compared to JazzyMAC. Lastly, as compared to centralized schedulers, Algo-d schedules 50% more links than Algo-1 and at most 7% fewer links than Algo-2. 2014 Conference Paper http://hdl.handle.net/20.500.11937/50419 10.1109/ICC.2014.6883745 restricted
spellingShingle Wang, H.
Chin, K.
Raad, R.
Soh, Sie Teng
A distributed maximal link scheduler for multi Tx/Rx Wireless Mesh Networks
title A distributed maximal link scheduler for multi Tx/Rx Wireless Mesh Networks
title_full A distributed maximal link scheduler for multi Tx/Rx Wireless Mesh Networks
title_fullStr A distributed maximal link scheduler for multi Tx/Rx Wireless Mesh Networks
title_full_unstemmed A distributed maximal link scheduler for multi Tx/Rx Wireless Mesh Networks
title_short A distributed maximal link scheduler for multi Tx/Rx Wireless Mesh Networks
title_sort distributed maximal link scheduler for multi tx/rx wireless mesh networks
url http://hdl.handle.net/20.500.11937/50419