Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/486933
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorZainol Abidin Abdul Rashid, Assoc. Prof.-
dc.contributor.authorRizal Munadi (P23689)-
dc.date.accessioned2023-10-11T02:26:42Z-
dc.date.available2023-10-11T02:26:42Z-
dc.date.issued2011-12-07-
dc.identifier.otherukmvital:114897-
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/486933-
dc.descriptionMobility management plays an important role in wireless mobile networks in effectively delivering services to the mobile users. In cellular network, mobility management has allowed mobile subscribers to move freely across different networks while maintaining its quality of service for a variety of applications. Location management is one of the main tasks of mobility management which has two basic procedures: location update and paging, which is used to manage call delivery and to maintain connection while roaming in service area. The biggest challenge in location management research is to find the most favorable trade off between location update and paging. Many location management techniques have been explored to reduce signaling cost of the Second Generation and the Third Generation wireless network such as location area design, database distribution, paging, static and dynamic location update schemes. The location management cost depends mainly on subscribers mobility behavior and its performance which is typically measured by the number of location update performed and the number of cells paged. The objective of this research is to propose, validate and evaluate the performance of location update scheme using fuzzy logic technique for cellular radio system. Two kinds of mobility model based on random walk mobility and street lane mobility are developed and then tested using balanced and un-balanced location area models. The service area in both models consists of 49 cells which are divided into seven clusters. The clusters of unbalanced model are not uniform in terms of the number of cells. A population of mobile subscribers is generated in accordance to the mobility models. A combination of distance, time, and movement scheme is used to evaluate location update cost. Performance evaluation with fuzzy logic technique uses residence time and speed of mobile subscriber as input parameters. The results of street-lane and four-direction random walk mobility models show that most mobile subscribers are distributed in the center cluster of simulated balanced and unbalanced location area. Meanwhile, eightdirection random-walk mobility model indicates that most of mobile subscribers are concentrated at certain edge-cluster of simulated service area of both balanced and unbalanced location area models. Based on the location update of combination schemes tested, an unbalanced model indicates slightly lower location update activities compared to balanced model. The results of using fuzzy logic technique show that location update cost using fuzzy logic is decreased. The reductions are varied depended on the strategies implementation. These results prove that users mobility has influenced location management cost in cellular radio service area.,Certification of Masters/Doctoral Thesis is not available,Ph.D.-
dc.language.isoeng-
dc.publisherUKM, Bangi-
dc.relationFaculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina-
dc.rightsUKM-
dc.subjectWireless communication systems-
dc.subjectMobile communication systems-
dc.subjectUniversiti Kebangsaan Malaysia -- Dissertations-
dc.subjectDissertations, Academic -- Malaysia-
dc.titleFuzzy logic-based mobility management scheme for cellular radio system-
dc.typeTheses-
dc.format.pages132-
dc.identifier.callnoTK5103.2.R539 2011 3 tesis-
dc.identifier.barcode002478(2011)-
Appears in Collections:Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina

Files in This Item:
File Description SizeFormat 
ukmvital_114897+SOURCE1+SOURCE1.0.PDF
  Restricted Access
851.18 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.