Estimating the channel capacity of multi-hop IEEE 802.11 wireless networks

Sarıkaya, Yunus and Atalay, İsmail Cem and Gürbüz, Özgür and Erçetin, Özgür and Ulusoy, Alphan (2012) Estimating the channel capacity of multi-hop IEEE 802.11 wireless networks. Ad Hoc Networks, 10 (6). pp. 1058-1075. ISSN 1570-8705

This is the latest version of this item.

Full text not available from this repository. (Request a copy)


In IEEE802.11 wireless networks, the residual capacity of the wireless links should be accurately estimated to realize advanced network services such as flow admission control or load balancing. In this paper, we propose an algorithm that estimates the packet delivery failure probability by collecting transmission statistics from nearby nodes, and by using a basic collision detection mechanism. This probability is then used in an analytical model to calculate the maximum allowable traffic needed to reach the saturation condition. We show by simulations that estimation error is within 0.5-2.0%, which is significantly lower than the best performance of prior estimation methods. We also demonstrate that the flow admission control is successfully achieved in a realistic wireless network scenario by the help of accurate link residual bandwidth estimation, where the unsatisfied traffic demand remain bounded at a negligibly low level. A routing algorithm that finds max-min residual bandwidth path between source and destination nodes is also implemented, and simulation results show that the network throughput achieved by this algorithm significantly exceeds that of other popular mesh routing protocols. Finally, we provide test results from the real implementation of our algorithm on 802.11 wireless equipment, which are consistent with the simulations.
Item Type: Article
Uncontrolled Keywords: Residual bandwidth; Wireless multi-hop networks; 802.11 Modeling; DCF modeling
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Faculty of Engineering and Natural Sciences
Depositing User: Özgür Erçetin
Date Deposited: 22 Jun 2012 15:24
Last Modified: 31 Jul 2019 11:05

Available Versions of this Item

Actions (login required)

View Item
View Item