Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

VH-FL: Intelligent Vertical Handoff based on Fuzzy Logic Decision

Version 1 : Received: 16 August 2020 / Approved: 17 August 2020 / Online: 17 August 2020 (10:21:31 CEST)

How to cite: Hamamreh, R. VH-FL: Intelligent Vertical Handoff based on Fuzzy Logic Decision. Preprints 2020, 2020080360 (doi: 10.20944/preprints202008.0360.v1). Hamamreh, R. VH-FL: Intelligent Vertical Handoff based on Fuzzy Logic Decision. Preprints 2020, 2020080360 (doi: 10.20944/preprints202008.0360.v1).

Abstract

The most important issue in integrated next generation wireless systems (NGWS) by fourth generation networks which consists of various wireless architectures extending from cellular networks to satellite networks is to allow everyone around the world to connect seamlessly to applications anywhere at any time through the best network. Heterogeneous networks have created many challenges such as mobility management, handoff, resource management. For always best connectivity the selection of parameters plays an important role in the decision of vertical handoff, some of parameters are depend upon MT and some are depend upon the network conditions . In this paper we designed Intelligent Vertical Handoff based on Fuzzy Logic Decision model ( IVH-FL), IVH-FL model which has five parameters for vertical handoff decision : Received Signal Strength (RSS), Available bandwidth (B), Users Preference (UP), Mobile Speed (SM) and Power Consumption (PC), with the help of Fuzzy Logic tool box and concept of fuzzy linguistic variables. The results confirmed improvement performance , and reduced the number of unnecessary handover .

Subject Areas

Vertical Handoff; Fuzzy Logic; wireless systems; IVH-FL

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.