Telecommunication networks: protocols, modeling and analysis
Telecommunication networks: protocols, modeling and analysis
Data networks
Enhancing throughput over wireless LANs using channel state dependent packet scheduling
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
Improving performance of MAC layer by using congestion control/avoidance methods in wireless network
Proceedings of the 2001 ACM symposium on Applied computing
A Link Adaptation Approach for QoS Enhancement in Wireless Networks
LCN '01 Proceedings of the 26th Annual IEEE Conference on Local Computer Networks
Divert: fine-grained path selection for wireless LANs
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Courtesy Piggybacking: Supporting Differentiated Services in Multihop Mobile Ad Hoc Networks
IEEE Transactions on Mobile Computing
Understanding congestion in IEEE 802.11b wireless networks
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Packet-loss modeling for perceptually optimized 3D transmission
Advances in Multimedia
A cross-layer adaptive transmission scheme combined with SR-ARQ over correlated fading channels
Computers and Electrical Engineering
AIC'05 Proceedings of the 5th WSEAS International Conference on Applied Informatics and Communications
Towards Energy Efficient Design of Multi-radio Platforms for Wireless Sensor Networks
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Dynamic packet fragmentation for wireless channels with failures
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Bluetooth ACL Packet Selection Via Maximizing the Expected Throughput Efficiency of ARQ Protocol
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Smooth control of adaptive media playout for video streaming
IEEE Transactions on Multimedia
Cross-layer enhanced time scheduling for multi-band OFDM UWB networks
Wireless Networks
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
An energy-efficient link layer protocol for reliable transmission over wireless networks
EURASIP Journal on Wireless Communications and Networking
DPLC: dynamic packet length control in wireless sensor networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
DSPM: dynamic security policy management for optimizing performance in wireless networks
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Optimizing physical-layer parameters for wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Adjusting transport segmentation policy of DTN Bundle Protocol under synergy with lower layers
Journal of Systems and Software
An algorithm for controlling packet size in IEEE 802.16e networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Smart client techniques for online game on portable device
ICESS'04 Proceedings of the First international conference on Embedded Software and Systems
Optimal transmit power and packet size in wireless sensor networks in lognormal shadowed environment
International Journal of Sensor Networks
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We develop an algorithm that allows an ARQ protocol to dynamically optimize the packet size based on estimates of the channel bit-error-rate. Our algorithm is particularly useful for wireless and satellite channels where the bit-error-rates tend to be relatively high and time variable. Our algorithm uses the acknowledgment history to make estimates of the channel bit-error-rate, based on which the optimal packet size can be chosen. We develop a Markov chain model for the analysis of the system, under static channel conditions, and show that the algorithm can achieve close to optimal performance using a history of just 10,000 bits. We also use the Gilbert–Elliott two-state Markov channel to model dynamic channel conditions. We show, through simulation, that the algorithm performs well even under rapidly changing channel conditions. Finally, we discuss a maximum likelihood approach for choosing the packet size, which performs almost optimally but is much easier to implement.