IEEE/ACM Transactions on Networking (TON)
A course in fuzzy systems and control
A course in fuzzy systems and control
A performance comparison of multi-hop wireless ad hoc network routing protocols
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
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
A Multi-path QoS Routing Protocol in a Wireless Mobile ad Hoc Network
ICN '01 Proceedings of the First International Conference on Networking-Part 2
Ad hoc QoS on-demand routing (AQOR) in mobile ad hoc networks
Journal of Parallel and Distributed Computing - Special issue on Routing in mobile and wireless ad hoc networks
PYLON: An Architectural Framework for Ad-hoc QoS Interconnectivity with Access Domains
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 9 - Volume 9
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Quality-of-service in ad hoc carrier sense multiple access wireless networks
IEEE Journal on Selected Areas in Communications
QoS routing in ad hoc wireless networks
IEEE Journal on Selected Areas in Communications
CEDAR: a core-extraction distributed ad hoc routing algorithm
IEEE Journal on Selected Areas in Communications
Distributed quality-of-service routing in ad hoc networks
IEEE Journal on Selected Areas in Communications
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This paper explores the use of fuzzy logic for threshold buffers management in wireless ad hoc networks. This exploration is useful first, because of the dynamic nature of buffer occupancy and congestion at a node; second, because of the uncertainty of information in wireless ad hoc networks due to network mobility. The notion of threshold is practical for discarding data packets and adapting the traffic service depending on the occupancy of buffers. The threshold function has a significant influence on the performance of networks in terms of both packets average delay and throughput. We propose a fuzzy logic approach for threshold selection named (FuzzyCCG) in order to enhance the control of congestion. FuzzyCCG was studied under different mobility, channel, and traffic conditions. The results of simulations confirm that the proposed model can achieve low and stable end-to-end delay under different network scalability and mobility conditions. FuzzyCCG promises to be an efficient tool for reducing the delay of multimedia applications in wireless ad hoc networks.