Adaptive Network Based Fuzzy Inference System Model for Minimizing Handover Failure in Mobile Networks

Simple item page
dc.contributor.authorOrimogunje, Abidemi
dc.date.accessioned2022-04-30T11:01:15Z
dc.date.available2022-04-30T11:01:15Z
dc.date.issued2017-09
dc.description.abstractFor seamless connection between mobile users on the same and different mobile technologies there is need for the deployment of a more complex algorithm for a successful switching of mobile users. Signal to interference ratio, speed of the mobile users and traffic distance are the three input used in the Adaptive network based Fuzzy inference system (ANFIS) which is an hybrid of two techniques of artificial intelligence which make it suitable to handle complexities such as ping-pong effect and interference which impair on the quality of service (QoS) during call handover process as the mobile users move from one coverage area (cell) to another.en_US
dc.identifier.issn2456 – 2165
dc.identifier.urihttp://dspace.run.edu.ng:8080/jspui/handle/123456789/2563
dc.language.isoenen_US
dc.publisherInternational Journal of Innovative Science and Research Technologyen_US
dc.subjectSignal to Interference Ratioen_US
dc.subjectAdaptive Network Based Fuzzy Inference systemen_US
dc.subjectQuality of Serviceen_US
dc.subjectArtificial intelligenceen_US
dc.titleAdaptive Network Based Fuzzy Inference System Model for Minimizing Handover Failure in Mobile Networksen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Adaptive-Network-Based-Fuzzy-Inference-System-.pdf
Size:
670.4 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Department of Electrical and Electronic Engineering