Title
Utility Function-Based Topsis For Network Interface Selection In Heterogeneous Wireless Networks
Abstract
In Heterogeneous Wireless Networks (HWNs), the mobile terminals are equipped with multiple access network interfaces (GSM, UMTS, LTE, WiFi, Bluetooth, etc.), to provide the possibility for mobile end-users to rank the networks and dynamically select the best one at anytime and anywhere, which is well known as Always Best Connected (ABC). In such environment, the major issue is network interface selection, which is a decision making problem with multiple alternatives (networks) and attributes (network characteristics, application requirements, terminal capacities, and user needs). In this context, many approaches have been proposed. Multi Attribute Decision Making (MADM) algorithms present a promising solution for multicriteria decision making problems. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is one of MADM algorithms, which is widely adopted. TOPSIS ranks the available networks based on their scores, with the highest being the best. TOPSIS suffers from couple limitations. First is the ranking abnormality, e. g. if a low ranking network is disconnected then the order of higher ranking networks changes, which results in the selection of a less desirable network. Second is the selection strategy, where TOPSIS simply selects the network with highest score regardless of whether or not it satisfies the user and/ or application needs. In this paper, we propose a new strategy based on utility function to remedy these shortcomings. The effectiveness of our strategy is evaluated through simulations. Obtained results show clearly that our strategy eliminates the rank reversal (ranking abnormality) phenomenon, and enhances the ranking quality by considering application and/ or user needs.
Year
DOI
Venue
2016
10.1109/ICC.2016.7511563
2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
Keywords
Field
DocType
Heterogeneous Wireless Networks (HWNs), Network Interface Selection, Multi Attribute Decision Making (MADM), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Rank reversal, Ranking abnormality, Utility function
Mobile computing,Data mining,Wireless network,Rank reversals in decision-making,Ranking,UMTS frequency bands,Computer science,TOPSIS,Access network,Network interface
Conference
ISSN
Citations 
PageRank 
1550-3607
7
0.52
References 
Authors
15
3
Name
Order
Citations
PageRank
Mohamed Abdelkrim Senouci1153.18
Said Hoceini210613.84
Abdelhamid Mellouk367975.86