Adaptive QoS routing by cross-layer cooperation in ad hoc networks

Authors:
Hongxia Sun;Herman D. Hughes
Affiliations:
Department of Computer Science, University of Calgary, Calgary, AB, Canada;Computer Science and Engineering Department, Michigan State University, East Lansing, MI
Venue:
EURASIP Journal on Wireless Communications and Networking
Year:
2005

Citing 6
Cited 1

The case for packet level FEC

PfHSN '96 Proceedings of the TC6 WG6.1/6.4 Fifth International Workshop on Protocols for High-Speed Networks V
Ad hoc QoS on-demand routing (AQOR) in mobile ad hoc networks

Journal of Parallel and Distributed Computing - Special issue on Routing in mobile and wireless ad hoc networks
Performance Analysis for Ad Hoc QoS Routing Protocols

MobiWac '02 Proceedings of the International Workshop on Mobility and Wireless Access
A mobility-based framework for adaptive clustering in wireless ad hoc networks

IEEE Journal on Selected Areas in Communications
Distributed quality-of-service routing in ad hoc networks

IEEE Journal on Selected Areas in Communications
Unequal loss protection: graceful degradation of image quality over packet erasure channels through forward error correction

IEEE Journal on Selected Areas in Communications

A multi-path cognitive resource management mechanism for QoS provisioning in wireless mesh networks

Wireless Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

QoS provisioning is a complex and challenging issue in mobile ad hoc networks, especially when there are multiple QoS constraints. In this paper, we propose an adaptive QoS routing scheme supported by cross-layer cooperation in ad hoc networks. The cross-layer mechanism provides up-to-date local QoS information for the adaptive routing algorithm, by considering the impacts of node mobility and lower-layer link performance. The multiple QoS requirements are satisfied by adaptively using forward error correction and multipath routing mechanisms, based on the current network status. The complete routing mechanism includes three parts: (1) a modified dynamic source routing algorithm that handles route discovery and the collection of QoS-related parameters; (2) a local statistical computation and link monitoring function located in each node; and (3) an integrated decision-making system to calculate the number of routing paths, coding parity length, and traffic distribution rates. Simulation results are presented to illustrate the overall performance of our scheme. Our results indicate that our adaptive routing scheme provides suitable QoS performance that is less sensitive to network conditions (i.e., node mobility, transmission power, channel characteristics, and the traffic pattern) than a nonadaptive routing strategy.