An Evidential Approach for Network Interface Selection in Heterogeneous Wireless Networks

Flow/Interface Association for multi-connectivity in heterogeneous wireless networks: e-Health case

“…In heterogeneous wireless networks (HWNs), the multi-homed mobile terminals rank the network interfaces and select the best one or simultaneously use the various available network interfaces. To meet the always best connected requirements, studies on NIS have used different mathematical theories including utility function [4,5], cost function [6], Multiple Attribute Decision Making (MADM) [7,2,8,9], Markov chain [10,11,12,13], fuzzy logic [14,15], game theory [16,17], and belief functions theory [18].…”

“…In [18], a belief function theory (BFT) was used for NIS problem. All candidate networks are judged with different masses (degrees of belief), where the belief reflects the satisfactory extents for each candidate network from the viewpoint of this specific parameter.…”

Fuzzy and Utility Based Network Selection for Heterogeneous Networks in High-Speed Railway

“…The imprecision or uncertainty of decision-making information is another key issue. To deal with imprecise information, some schemes were proposed to leverage fuzzy logic and probability theory in [18][19][20].…”

“…A belief function theory (BFT) approach [19] was proposed to cope with conflicting beliefs due to the uncertainty of network statuses information. Multiple attributes and their weights associated with a specific application were considered to rank the available network.…”

“…(3) for CN ∈ CN do (4) for ∈ X do (5) = Fuzzy( ); (6) end for (7) end for (8) for ∈ S do (9) = Fuzzy( ); (10) end for (11) for ∈ S do (12) for CN ∈ CN do (13) Calcula t eSa t ; (14) Sa t * ⇒ Sd ; (15) end for (16) if ∀Sd ! = 0 then (17) Se lectCN with best value Sd ; (18) else if ∀Sd == 0 then (19) Se lectCN with best value of preferential attribute ; (20) end if (21) end for (22) end while…”