Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
INSIGNIA: an IP-based quality of service framework for mobile ad Hoc networks
Journal of Parallel and Distributed Computing - Special issue on wireless and mobile computing and communications
Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit
IEEE/ACM Transactions on Networking (TON)
Dynamic Bandwidth Management for Single-Hop Ad Hoc Wireless Networks
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
QoS-aware fair rate allocation in wireless mesh networks
Computer Communications
QoS enhancement and performance evaluation of ad-hoc routing protocols for rural public safety
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Quality of Service in mobile ad hoc networks: a survey
International Journal of Ad Hoc and Ubiquitous Computing
Achieving MAC-layer fairness in CSMA/CA networks
IEEE/ACM Transactions on Networking (TON)
Evaluating the effectiveness of a qos framework for MANETs in a real testbed
ADHOC-NOW'12 Proceedings of the 11th international conference on Ad-hoc, Mobile, and Wireless Networks
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In this paper, we present MPARC (Multi-Priority Admission and Rate Control), a novel joint admission control and rate policing protocol for multi-priority ad hoc networks. MPARC is based on our novel bandwidth allocation model, which captures the bandwidth allocation for saturated, unsaturated and semi-saturated networks. MPARC guarantees that the throughput of admitted realtime flows will not decrease due to later arriving realtime flows with equal or lower priorities or due to best effort flows. MPARC achieves this goal by performing accurate admission control on every newly arriving realtime flow and appropriate rate policing on all best effort traffic. Through simulation, we demonstrate that MPARC has better performance than existing approaches.