TY - GEN
T1 - A Flexible quality of service model for mobile Ad-hoc networks
AU - Xiao, Hannan
AU - Seah, Winston K.G.
AU - Lo, Anthony
AU - Chua, Kee Chaing
N1 - Copyright 2004 Elsevier Science B.V., Amsterdam. All rights reserved.
PY - 2000
Y1 - 2000
N2 - Quality of service (QoS) support in Mobile Ad-hoc NETworks (MANETs) is a challenging task. Most of the proposals in the literature only address certain aspects of the QoS support, e.g., QoS routing, QoS medium access control (MAC) and resource reservation. However, none of them proposes a QoS model for MANETs. Meanwhile, two QoS models have been proposed for the Internet, viz., the Integrated Services (IntServ) model and the Differentiated Services (DiffServ) model, but these models are aimed for wired networks. In this paper, we propose a flexible QoS model for MANETs (FQMM) which considers the characteristics of MANETs and combines the high quality QoS of IntServ and service differentiation of DiffServ. Salient features of FQMM include: dynamics roles of nodes, hybrid provisioning and adaptive conditioning. Preliminary simulation results show that FQMM achieves better performance in terms of throughput and service differentiation than the best-effort model.
AB - Quality of service (QoS) support in Mobile Ad-hoc NETworks (MANETs) is a challenging task. Most of the proposals in the literature only address certain aspects of the QoS support, e.g., QoS routing, QoS medium access control (MAC) and resource reservation. However, none of them proposes a QoS model for MANETs. Meanwhile, two QoS models have been proposed for the Internet, viz., the Integrated Services (IntServ) model and the Differentiated Services (DiffServ) model, but these models are aimed for wired networks. In this paper, we propose a flexible QoS model for MANETs (FQMM) which considers the characteristics of MANETs and combines the high quality QoS of IntServ and service differentiation of DiffServ. Salient features of FQMM include: dynamics roles of nodes, hybrid provisioning and adaptive conditioning. Preliminary simulation results show that FQMM achieves better performance in terms of throughput and service differentiation than the best-effort model.
UR - http://www.scopus.com/inward/record.url?scp=0033725272&partnerID=8YFLogxK
U2 - 10.1109/VETECS.2000.851496
DO - 10.1109/VETECS.2000.851496
M3 - Conference contribution
AN - SCOPUS:0033725272
SN - 0-7803-5718-3
VL - 1
SP - 445
EP - 449
BT - 2000 IEEE 51st Vehicular Technology Conf Procs
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -