Inlämning av Examensarbete / Submission of Thesis

Umer Hayat MCS-2009-18, pp. 57. COM/School of Computing, 2009.

The work

Författare / Author: Umer Hayat
Titel / Title: Finding Social Location Using Bluetooth
Abstrakt Abstract:

From the last few years many location based system have been
introduced e.g. facebook, orkut, youtube and my-space etc.
These networks are specially developed for personal computers.
Some location based systems are also introduced for mobile
device e.g. Plazes, MamJam, Slam and Jambo. All these type of
networks are using the concept of social location, which provides
the platform where people can join or make communities
according to their interests. Numbers of users on these networks
are increasing day by day due to their popularity. This popularity
gives the opportunity for researchers to explore the
characteristics of these social networks at large scale. This
knowledge will be then used to improve the existing networks or
to develop new networks. Already developed systems for mobile
devices are using different techniques (e.g. Radio Frequency
Identification, GPS, GSM, WAP etc.) to determine the location
of any person. In this thesis, I am going to develop a prototype of
system that will find the social location of an individual using
passive Bluetooth scanning of mobile devices. The main idea
behind this prototype is that the data obtained should be flexible
to target different social needs and as well as different social
location applications. The research will explore some more areas
of Bluetooth by extending its dimension in social location
system. The expected output from this research will help human
being to overcome some of their social problems. Social location
obtained from the prototype can be used to fulfill different social
needs of human being.
Social location, Bluetooth, Physical location, GPRS, Mobile

Ämnesord / Subject: Datavetenskap - Computer Science\General

Nyckelord / Keywords: Social location, Bluetooth, Physical location, GPRS, Mobile

Publication info

Dokument id / Document id:
Program:/ Programme Datavetenskapligt program/Computer Science
Registreringsdatum / Date of registration: 06/21/2009
Uppsatstyp / Type of thesis: Magisterarbete/Master's Thesis (60 credits)


Handledare / Supervisor: Yang Liu
Examinator / Examiner: Guohua Bai
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: COM/School of Computing

+46 455 38 50 00

Files & Access

Bifogad uppsats fil(er) / Files attached: thesis report(updated).pdf (992 kB, öppnas i nytt fönster)