IEEE 2013 JAVA MOBILECOMPUTING PROJECT Predicting human movement based on telecom handoff in mobile networks
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IEEE 2013 JAVA MOBILECOMPUTING PROJECT Predicting human movement based on telecom handoff in mobile networks

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To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09849557908 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org

To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09849557908 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org

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    IEEE 2013 JAVA MOBILECOMPUTING PROJECT Predicting human movement based on telecom handoff in mobile networks IEEE 2013 JAVA MOBILECOMPUTING PROJECT Predicting human movement based on telecom handoff in mobile networks Document Transcript

    • GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com Predicting Human Movement Based on Telecom Handoff in Mobile Networks Investigating human movement behavior is important for studying issues such as prediction of vehicle traffic and spread of contagious diseases. Since mobile telecom network can efficiently monitor the movement of mobile users, the telecoms mobility management is an ideal mechanism for studying human movement issues. The problem can be abstracted as follows: What is the probability that a person at location A will move to location B after T hours. The answer cannot be directly obtained because commercial telecom networks do not exactly trace the movement history of every mobile user. In this paper, we show how to use the standard outputs (handover rates, call arrival rates, call holding time, and call traffic) measured in a mobile telecom network to derive the answer for this problem.