Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Stability analysis of the simplest Takagi-Sugeno fuzzy control system using circle criterion
Information Sciences: an International Journal
Optimizing QoS routing in hierarchical ATM networks using computational intelligence techniques
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Neural Networks
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
IEEE Transactions on Neural Networks
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In this paper, a heuristics for highly efficient selection of multipoint relays (MPR) in optimized link state routing (OLSR) protocol is proposed. MPR selection is one of the most important and critical function of OLSR protocol. This paper proposes a Fuzzy logic based novel routing metric for MPR selection based on the energy, stability and buffer occupancy of the nodes. An algorithm is designed to cope with these constraints in order to find quality MPR (QMPR) that guarantees the QoS in OLSR. The aim of this paper is to formulate, build, evaluate, validate and compare rules for QMPR selection using fuzzy logic. It has been validated that proposed composite metric (based on energy, stability and buffer occupancy) selects a more stable MPR. By mathematical analysis and simulation, it is shown that efficiency of OLSR protocol has been improved using this new routing metric, in terms of energy efficiency and network life time.