Digital communications
1 LANs: Saturation Throughput in the Presence of Noise
NETWORKING '02 Proceedings of the Second International IFIP-TC6 Networking Conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; and Mobile and Wireless Communications
Goodput Analysis and Link Adaptation for IEEE 802.11a Wireless LANs
IEEE Transactions on Mobile Computing
UMAV: A Simple Enhancement to the IEEE 802.11 DCF
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 9 - Volume 9
EBA: An Enhancement of the IEEE 802.11 DCF via Distributed Reservation
IEEE Transactions on Mobile Computing
Saturation throughput analysis of error-prone 802.11 wireless networks: Research Articles
Wireless Communications & Mobile Computing - RRM for Next-Generation Wireless and Mobile Communication Systems
IEEE Transactions on Parallel and Distributed Systems
Throughput analysis and admission control for IEEE 802.11a
Mobile Networks and Applications
Performance evaluation of a new backoff method for IEEE 802.11
Computer Communications
Improvement of WLAN Contention Resolution by Loss Differentiation
IEEE Transactions on Wireless Communications
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
Hi-index | 0.00 |
In this paper, we provide an extended model for analytical analysis of IEEE 802.11 wireless local area networks under noisy wireless channel. A reservation stage is introduced in the Markov chain model to reduce unnecessary retransmissions in the case of transmission failure due to channel error. A lot of work has been carried out to enhance the performance of 802.11 distributed coordination function in the error free channel. Throughput enhancement of 802.11 medium access control protocol under error prone channel was still missing in the available literature. Through the analysis result it is shown that the proposed method significantly improves the performance of the backoff algorithm when the reservation stage is employed in the Markov chain model. The analysis result is validated by using the network simulator tool ns-2. The proposed modifications can be employed in the Markov chain model of any backoff algorithm.