Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
Why triangular membership functions?
Fuzzy Sets and Systems
The Ad Hoc on-demand distance-vector protocol
Ad hoc networking
Wireless ATM and Ad-Hoc Networks: Protocols and Architectures
Wireless ATM and Ad-Hoc Networks: Protocols and Architectures
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
PATHS: analysis of PATH duration statistics and their impact on reactive MANET routing protocols
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Link Stability and Route Lifetime in Ad-hoc Wireless Networks
ICPPW '02 Proceedings of the 2002 International Conference on Parallel Processing Workshops
Strategies for Finding Stable Paths in Mobile Wireless Ad Hoc Networks
LCN '03 Proceedings of the 28th Annual IEEE International Conference on Local Computer Networks
Ad Hoc Wireless Networks: Architectures and Protocols
Ad Hoc Wireless Networks: Architectures and Protocols
Exploring long lifetime routing (LLR) in ad hoc networks
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
On Route Lifetime in Multihop Mobile Ad Hoc Networks
IEEE Transactions on Mobile Computing
Adaptive and fuzzy approaches for nodes affinity management in wireless ad-hoc networks
Mobile Information Systems
Lifetime maximisation algorithm in Wireless Sensor Network
International Journal of Ad Hoc and Ubiquitous Computing
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In wireless ad hoc networks, Ad-hoc On-Demand Distance Vector (AODV) routing protocol uses static value for 'Active-Route-Timeout' (ART) which indicates the lifetime of an active route in the routing table. As accurate and dynamic ART is more suitable than static one, the fuzzy logic system is used here to obtain adaptive ART (fuzzy ART) values. Considering various parameters on fuzzy ART, three design methods are proposed, namely: fuzzy-SKP, fuzzy-Power and fuzzy-Comb. Analysis shows that the proposed methods are able to optimise ART quite efficiently and superior to the conventional method with respect to routing overhead and average end-to-end delay.