2012 IEEE 75th Vehicular Technology Conference (VTC Spring) 2012
DOI: 10.1109/vetecs.2012.6240119
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Energy-Friendly Network Selection in Heterogeneous Wireless Networks

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Cited by 15 publications
(5 citation statements)
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“…Current energy-aware network/interface selection schemes [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24] are either mobile-initiated or network-assisted and generally run depending on a specific metric like cost-function [10,12], traffic-volume [13,15], fuzzy-logic [14,22], mobility pattern-aware [16], location-assisted [17], context-aware [18], speed-sensitive [20], delay-tolerant [23], etc. For instance, authors in [25] propose a fuzzy vertical handoff algorithm that triggers handoff from a resource to another, when the energy consumption of the device increases or the connection time with the resource decreases.…”
Section: Related Workmentioning
confidence: 99%
“…Current energy-aware network/interface selection schemes [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24] are either mobile-initiated or network-assisted and generally run depending on a specific metric like cost-function [10,12], traffic-volume [13,15], fuzzy-logic [14,22], mobility pattern-aware [16], location-assisted [17], context-aware [18], speed-sensitive [20], delay-tolerant [23], etc. For instance, authors in [25] propose a fuzzy vertical handoff algorithm that triggers handoff from a resource to another, when the energy consumption of the device increases or the connection time with the resource decreases.…”
Section: Related Workmentioning
confidence: 99%
“…Nevertheless, this work mainly uses the same analytical power consumption estimation for different radio access technologies, which results in imprecise computations. In [73] Fan et al propose an energy-efficient interface selection strategy for real-time and non-real-time applications based on fuzzy logic that considers network conditions, user preferences and QoS requirements.…”
Section: Existing Energy Efficient Handover Approachesmentioning
confidence: 99%
“…[25][26][27][28]. Fuzzy logic is used when some of the criteria cannot be precisely obtained due to the complexity of the heterogeneous environment.…”
Section: Related Workmentioning
confidence: 99%