To optimize the performance of wireless networks, one needs to consider the impact of key factors such as interference from hidden nodes, the capture effect, the network density and network conditions (saturated versus non-saturated). In this research, our goal is to quantify the impact of these factors and to propose effective mechanisms and algorithms for throughput guarantees in multi-hop wireless networks. For this purpose, we have developed a model that takes into account all these key factors, based on which an admission control algorithm and an end-to-end available bandwidth estimation algorithm are proposed. Given the necessary network information and traffic demands as inputs, these algorithms are able to provide predictive control via an iterative approach. Evaluations using analytical comparison with simulations as well as existing research show that the proposed model and algorithms are accurate and effective.
Bibliographical noteThis article is published in a high reputable International Journal (Elsevier AdHoc Networks) which has one of the highest Impact Factor among Communications and Network publications. The impact factor is 2.11. The article proposes for the first time a comprehensive model that takes into consideration 3 key factors (hidden nodes, capture effect and network density). Most of existing research only considers one of these factors in isolation, therefore misscalculating the available end-to-end bandwidth on a multi-hop wireless route. The model and algorithms presented in this research are proved to be both accurate and efficient.
- hidden nodes
- multi-hop wireless networks
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Networks and Communications