Reference Hub1
Adaptive Sending Rate Over Wireless Mesh Networks Using SNR

Adaptive Sending Rate Over Wireless Mesh Networks Using SNR

Scott Fowler, Marc Eberhard, Keith Blow, Ahmed Shaikh
Copyright: © 2011 |Volume: 1 |Issue: 3 |Pages: 19
ISSN: 2155-6261|EISSN: 2155-627X|EISBN13: 9781613509814|DOI: 10.4018/ijwnbt.2011070103
Cite Article Cite Article

MLA

Fowler, Scott, et al. "Adaptive Sending Rate Over Wireless Mesh Networks Using SNR." IJWNBT vol.1, no.3 2011: pp.30-48. http://doi.org/10.4018/ijwnbt.2011070103

APA

Fowler, S., Eberhard, M., Blow, K., & Shaikh, A. (2011). Adaptive Sending Rate Over Wireless Mesh Networks Using SNR. International Journal of Wireless Networks and Broadband Technologies (IJWNBT), 1(3), 30-48. http://doi.org/10.4018/ijwnbt.2011070103

Chicago

Fowler, Scott, et al. "Adaptive Sending Rate Over Wireless Mesh Networks Using SNR," International Journal of Wireless Networks and Broadband Technologies (IJWNBT) 1, no.3: 30-48. http://doi.org/10.4018/ijwnbt.2011070103

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Wireless Mesh Networks (WMNs) have emerged as a key technology for the next generation of wireless 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 IEEE 802.11a/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. This paper proposes 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. The authors show 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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.