Abstract
Problem statement: The Next generation wireless networks are heterogeneous in nature where different Radio Access Technologies (RAT) coexists in the same coverage area. The user terminal should be able to pick the best access technology such as Wireless Local Area Network (WLAN), Wireless Wide Area Networks (WWAN), the Universal Mobile Telecommunication Systems (UMTS) and the Global System for Mobile Telecommunication (GSM)/Enhanced Data rate for GSM Evolution (EDGE) Radio Access Network (GERAN) at its current location and use the access technology seamlessly for the provision of desired service. The goal is to select the most suitable Radio Access Technology (RAT) for each user. It is important that suitable decision making algorithm should be designed such that all the important characteristics of the system are taken into account when making the radio access selection. Approach: For this reason, this research work proposes a methodology to select the best access network among WLAN and WWAN under the input criteria Signal Strength of both networks, speed of the mobile terminal and network coverage of both networks and Quality of Service (QoS). Hence, in this work, a new hybrid multi objective decision making algorithm employing weighing function and particle swarm optimization is proposed for fuzzy based Radio Access Technology selection of Heterogeneous wireless networks. Results: The end results indicate that the proposed algorithm outperforms better than the existing methods. Conclusion: Inferences from the results indicate that by using the proposed algorithm, best RAT can be selected for the user with a minimal time constraint.
Highlights
Over the past twenty years, a number of wireless technologies were developed
The Third generation systems like Universal Mobile Telecommunication System (UMTS), CDMA 2000 based on Wireless CDMA technologies is to provide high speed wireless communication to support multimedia, video, data and voice
This algorithm uses research work proposes an algorithmic approach to Particle Swarm Optimization, Fuzzy logic controller, select the best access network among Wireless Local Area Network (WLAN) and Genetic Algorithm and decision making algorithm for Wireless Wide Area Networks (WWAN) under the input criteria Signal Strength of both the selection of Radio Access Technologies (RAT)
Summary
Over the past twenty years, a number of wireless technologies were developed. The first generation systems are based on analog radio transmission. The Key contributions of this work are: This used for the initial RAT selection This algorithm uses research work proposes an algorithmic approach to Particle Swarm Optimization, Fuzzy logic controller, select the best access network among WLAN and Genetic Algorithm and decision making algorithm for WWAN under the input criteria Signal Strength of both the selection of RAT. Particle swarm optimization is proposed for fuzzy based Radio Access Technology selection of Fuzzy inference system: The brief overview of the heterogeneous wireless networks. By Lotfi A.Zadeh, is a mathematical tool for dealing with uncertainty (Ross, 2010) It provides an mechanism for representing linguistic constructs such as “high”, “low”, “medium”, “tall”, In fuzzy systems, the values are indicated by a number ranging from 0 to Related works: Future Wireless Networks does not consist of single radio access network like WWAN, UMTS, but it consists of heterogeneous radio access network that coexist in the same coverage area. The input variable SL2 has the range
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