2013 7th International Conference on Application of Information and Communication Technologies 2013
DOI: 10.1109/icaict.2013.6722635
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An access selection algorithm based on GRA integrated with FAHP and entropy weight in hybrid wireless environment

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Cited by 14 publications
(6 citation statements)
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“…Accordingly, Gumus et al [46] suggested a hybrid methodology that melds AHP with GRA, employing fuzzy logic to address issues within the energy conservation sector. Zhang et al [47] put forward an algorithm designed to assess the equilibrium of the network load in hybrid wireless settings, by integrating FAHP with GRA. Furthermore, some scholars [48,49] have utilised this combined FAHP and GRA approach for the assessment of mutual fund performance and the selection of wastewater treatment technologies.…”
Section: The Integrated Approach Of Fahp and Gramentioning
confidence: 99%
“…Accordingly, Gumus et al [46] suggested a hybrid methodology that melds AHP with GRA, employing fuzzy logic to address issues within the energy conservation sector. Zhang et al [47] put forward an algorithm designed to assess the equilibrium of the network load in hybrid wireless settings, by integrating FAHP with GRA. Furthermore, some scholars [48,49] have utilised this combined FAHP and GRA approach for the assessment of mutual fund performance and the selection of wastewater treatment technologies.…”
Section: The Integrated Approach Of Fahp and Gramentioning
confidence: 99%
“…Kamgueu et al [162] had conferred the realization of routing metric considering Energy Transmission Exchange (ETX), delay and energy as its parameters using Mamdani model of fuzzy logic [163][164][165] to devise RPL objective function. The simulation was done using the Contiki operating system and deployment was conducted on a real-world indoor WSN.…”
Section: Energy Qosmentioning
confidence: 99%
“…Next, the objective weight and uncertainty will be learned through network attributes value. Entropy evaluation method [28] is a regular one in detecting objective weight of network attributes, the principle of which is the statement in information theory about entropy. When the degree of disorder in a system increases, entropy rises when information of system decreases.…”
Section: Experiment Based On the Experiments Environment Inmentioning
confidence: 99%