Final Year IEEE Projects for BE, B.Tech, ME, M.Tech,M.Sc, MCA & Diploma Students latest Java, .Net, Matlab, NS2, Android, Embedded,Mechanical, Robtics, VLSI, Power Electronics, IEEE projects are given absolutely complete working product and document providing with real time Software & Embedded training......
----------------------------------------------------------------
JAVA, .NET, NS2, MATLAB PROJECTS:
Networking, Network Security, Data Mining, Cloud Computing, Grid Computing, Web Services, Mobile Computing, Software Engineering, Image Processing, E-Commerce, Games App, Multimedia, etc.,
EMBEDDED SYSTEMS:
Embedded Systems,Micro Controllers, DSC & DSP, VLSI Design, Biometrics, RFID, Finger Print, Smart Cards, IRIS, Bar Code, Bluetooth, Zigbee, GPS, Voice Control, Remote System, Power Electronics, etc.,
ROBOTICS PROJECTS:
Mobile Robots, Service Robots, Industrial Robots, Defence Robots, Spy Robot, Artificial Robots, Automated Machine Control, Stair Climbing, Cleaning, Painting, Industry Security Robots, etc.,
MOBILE APPLICATION (ANDROID & J2ME):
Android Application, Web Services, Wireless Application, Bluetooth Application, WiFi Application, Mobile Security, Multimedia Projects, Multi Media, E-Commerce, Games Application, etc.,
MECHANICAL PROJECTS:
Auto Mobiles, Hydraulics, Robotics, Air Assisted Exhaust Breaking System, Automatic Trolley for Material Handling System in Industry, Hydraulics And Pneumatics, CAD/CAM/CAE Projects, Special Purpose Hydraulics And Pneumatics, CATIA, ANSYS, 3D Model Animations, etc.,
CONTACT US:
ECWAY TECHNOLOGIES
23/A, 2nd Floor, SKS Complex,
OPP. Bus Stand, Karur-639 001.
TamilNadu , India.Cell: +91 9894917187.
Website: www.ecwayprojects.com | www.ecwaytechnologies.com
Mail to: ecwaytechnologies@gmail.com.
Rssi fingerprinting-based mobile phone localization with route constraints
1. ECWAY TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE
BANGALORE / HYDRABAD
CELL: 9894917187 | 875487 1111/2222/3333 | 8754872111 / 3111 / 4111 / 5111 / 6111
Visit: www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com
RSSI-FINGERPRINTING-BASED MOBILE PHONE LOCALIZATION WITH ROUTE
CONSTRAINTS
ABSTRACT:
Accurate positioning of a moving vehicle along a route enables various applications, such as
travel-time estimation, in transportation. Global Positioning System (GPS)-based localization
algorithms suffer from low availability and high energy consumption. A received signal strength
indicator (RSSI) measured in the course of the normal operation of Global System for Mobile
Communications (GSM)-based mobile phones, on the other hand, consumes minimal energy in
addition to the standard cell-phone operation with high availability but very low accuracy. In this
paper, we incorporate the fact that the motion of vehicles satisfies route constraints to improve
the accuracy of the RSSI-based localization by using a hidden Markov model (HMM), where the
states are segments on the road, and the observation at each state is the RSSI vector containing
the detected power levels of the pilot signals sent by the associated and neighboring cellular base
stations. In contrast to prior HMM-based models, we train the HMM based on the statistics of the
average driver’s behavior on the road and the probabilistic distribution of the RSSI vectors
observed in each road segment. We demonstrate that this training considerably improves the
accuracy of the localization and provides localization performance robust over different road
segment lengths by using extensive cellular data collected in Istanbul, Turkey; Berkeley, CA,
USA; and New Delhi, India.
