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Factors affecting network handover on mobile devices

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thesis
posted on 28.03.2022, 20:25 authored by Michael Bauer
People are constantly on the move and in consistent need of communication. Mobile devices and internet connectivity have now become an integral part of our way of living. To best accommodate the moving person, mobiles need to switch between available networks in an attempt to avoid a break in connection. In an effort to minimise a break in connection and optimise handover, an improved location-based handover algorithm can be developed, taking advantage of cheaper, faster internet and modern day mobile processing. Such a system could map wireless networks and upload data to a server from users as they travel throughout their day to day life. This data may then be processed into an optimised model that can be downloaded as a user passes through an area, improving upon the decisions made by the algorithm. The benefits that could be gained out of mapping networks are currently not known and modern day technology may or may not be suitable to collect high-quality data necessary to produce an accurate model. This leads to the primary focus of this project which is to determine the quality of data that can be collected from a mobile device and how a model produced using this data could benefit the algorithm. Through the development of a system which mirrors its data collection capabilities, the merits of the collected data is analysed to determine the feasibility and benefits the development of this improved location-based handover algorithm. In this project, it is discovered that the data may not be of high enough quality, yet particular situations were found to be potentially beneficial to the algorithm.

History

Table of Contents

1. Introduction -- 2. Background related work -- 3. Development of the network mapping system -- 4. Data collection -- 5. Data analysis -- 6. Conclusions and future work -- Appendices -- Bibliography.

Notes

Bibliography: pages 73-74 Empirical thesis.

Awarding Institution

Macquarie University

Degree Type

Thesis bachelor honours

Degree

BSc (Hons), Macquarie University, Faculty of Science and Engineering, School of Engineering

Department, Centre or School

School of Engineering

Year of Award

2016

Principal Supervisor

Leonard G.C.l Hamey

Rights

Copyright Michael Bauer 2016. Copyright disclaimer: http://mq.edu.au/library/copyright

Language

English

Extent

1 online resource (xv, 74 pages colour illustrations, colour maps)

Former Identifiers

mq:70329 http://hdl.handle.net/1959.14/1262617

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