Complexity–consistency trade‐off in multi‐attribute decision making for vertical handover in heterogeneous wireless networks. Issue 1 (1st January 2016)

• Record Type: Journal Article
• Authors: Chinnappan, Amali; Balasubramanian, Ramachandran
• Is Part Of: IET networks. Volume 5:Issue 1(2016)
• Page Start: 13
• Page End: 21
• Publication Date: 2016-01-01
• Subjects: decision making -- mobility management (mobile radio) -- quality of service -- fuzzy control -- fuzzy set theory -- analytic hierarchy process -- matrix algebra -- principal component analysis -- telecommunication control; principal component analysis -- weighted decision matrix -- quality of service factor -- fuzzy analytic hierarchy process -- user satisfaction degree -- fuzzy logic controllers -- HO -- intelligent network selection -- service adaptive network selection -- wireless communication systems -- heterogeneous wireless networks -- vertical handover -- multiattribute decision making algorithm -- complexity‐consistency trade‐off; Computer network architectures -- Periodicals; Computer network protocols -- Periodicals; Information networks -- Periodicals; Telecommunication systems -- Periodicals; 004.605
• DOI: 10.1049/iet-net.2015.0042
• Languages: English
• ISSNs: 2047-4954

Abstract

Abstract : The future wireless communication systems require an intelligent and service adaptive network selection to perform vertical handover (HO) in heterogeneous environments. Since multiple parameters are considered to select the best suitable network, reducing the complexity in multi‐attribute decision making algorithm becomes apparent. In the proposed scheme, fuzzy logic controllers are used to estimate the necessity of HO and to determine the user satisfaction degree based on the critical parameters, such as mobile terminal speed, network load and service cost. Fuzzy analytic hierarchy process is used to calculate the weights of each attribute according to the traffic. Since it handles the uncertainty and vagueness in mapping the user preference to the priority scales, consistency level of network selection can be improved. Quality of service factor is calculated for each network by processing the weighted decision matrix using principal component analysis. Simulation results show that proposed scheme can ensure the best network selection by providing trade‐off between complexity and consistency.