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Adaptive Sending Rate Over Wireless Mesh Networks Using SNR
Linköping University, Department of Science and Technology. Linköping University, The Institute of Technology. (Mobile Telecommunication)ORCID iD: 0000-0002-0019-8411
Aston University.
Aston University.
Aston University.
2011 (English)In: International Journal of Wireless Networks and Broadband Technologies (IJWNBT), ISSN 2155-6261, EISSN: 2155-627X, Vol. 1, no 3, 30-48 p.Article in journal (Refereed) Published
Abstract [en]

Wireless Mesh Networks (WMNs) have emerged as a key technology for the next generation ofwireless networking.  Instead of being another type of ad-hoc networking, WMNs diversify the capabilities of ad-hoc networks.  Several protocols that work over WMNs include IEEE802.11a/b/g, 802.15, 802.16 and LTE-Advanced. To bring about a high throughput under varying conditions, these protocols have to adapt their transmission rate. In this paper, we have proposed a scheme to improve channel conditions by performing rate adaptation along with multiple packet transmission using packet loss and physical layer condition.  Dynamic monitoring, multiple packet transmission and adaptation to changes in channel quality by adjusting the packet transmission rates according to certain optimization criteria provided greater throughput. The key feature of the proposed method is the combination of the following two factors: 1) detection of intrinsic channel conditions by measuring the fluctuation of noise to signal ratio via the standard deviation, and 2) the detection of packet loss induced through congestion.  We have shown that the use of such techniques in a WMN can significantly improve performance in terms of the packet sending rate.  The effectiveness of the proposed method was demonstrated in a simulated wireless network testbed via packet-level simulation.

Place, publisher, year, edition, pages
IGI Global, 2011. Vol. 1, no 3, 30-48 p.
Keyword [en]
WMN, Adaptive Rate, SNR, Wireless Mesh Networks, Auto Rate
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-74134DOI: 10.4018/ijwnbt.2011070103OAI: diva2:480623
Available from: 2012-01-31 Created: 2012-01-19 Last updated: 2015-03-18Bibliographically approved

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