Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Source models for VBR broadcast-video traffic
IEEE/ACM Transactions on Networking (TON)
Scheduling of real-time traffic in IEEE 802.11 wireless LANs
Wireless Networks
A capacity analysis for the IEEE 802.11 MAC protocol
Wireless Networks
Discrete-Time Models for Communication Systems Including ATM
Discrete-Time Models for Communication Systems Including ATM
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Investigation of the IEEE 802.11 Medium Access Control (MAC) Sublayer Functions
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
New insights from a fixed-point analysis of single cell IEEE 802.11 WLANs
IEEE/ACM Transactions on Networking (TON)
An Analytic Model for the Delay in IEEE 802.11 PCF MAC-Based Wireless Networks
IEEE Transactions on Wireless Communications
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
IEEE 802.11 protocol: design and performance evaluation of an adaptive backoff mechanism
IEEE Journal on Selected Areas in Communications
On the impact of IEEE 802.11 MAC on traffic characteristics
IEEE Journal on Selected Areas in Communications
Review: The influence of broadcast traffic on IEEE 802.11 DCF networks
Computer Communications
Capacity-aware routing in heterogeneous mesh networks: an analytical approach
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Performance analysis of the TXOP scheme in IEEE 802.11e WLANs with bursty error channels
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
A new queueing model for QoS analysis of IEEE 802.11 DCF with finite buffer and load
IEEE Transactions on Wireless Communications
Load-aware routing in mesh networks: Models, algorithms and experimentation
Computer Communications
Routing Internet traffic in heterogeneous mesh networks: Analysis and algorithms
Performance Evaluation
An analytical model of delay in multi-hop wireless ad hoc networks
Wireless Networks
Modelling and performance evaluation of the IEEE 802.11 DCF for real-time control
Computer Networks: The International Journal of Computer and Telecommunications Networking
Cross-layer analysis of the end-to-end delay distribution in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Comprehensive QoS analysis of enhanced distributed channel access in wireless local area networks
Information Sciences: an International Journal
International Journal of Ad Hoc and Ubiquitous Computing
Performance analysis of IEEE 802.11 WLANs with rate adaptation in time-varying fading channels
Computer Networks: The International Journal of Computer and Telecommunications Networking
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In this paper, we present an analytic model for evaluating the queueing delays and channel access times at nodes in wireless networks using the IEEE 802.11 Distributed Coordination Function (DCF) as the MAC protocol. The model can account for arbitrary arrival patterns, packet size distributions and number of nodes. Our model gives closed form expressions for obtaining the delay and queue length characteristics and models each node as a discrete time G/G/1fs queue. The service time distribution for the queues is derived by accounting for a number of factors including the channel access delay due to the shared medium, impact of packet collisions, the resulting backoffs as well as the packet size distribution. The model is also extended for ongoing proposals under consideration for 802.11e wherein a number of packets may be transmitted in a burst once the channel is accessed. Our analytical results are verified through extensive simulations. The results of our model can also be used for providing probabilistic quality of service guarantees and determining the number of nodes that can be accommodated while satisfying a given delay constraint.