====== Available projects ======
====== Localizing nodes and tracking targets in wireless ad hoc networks securely ======
**Supervisor**: Suprakash Datta
**Required Background**: CSE4480 prerequisites
__Description__
A key infrastructural problem in wireless networks is localization (or the
determination of geographical locations) of nodes. A related problem is the
tracking of mobile targets as they move through the radio ranges of the
wireless nodes.
If security is not a concern, then any of numerous existing algorithms can be
implemented to get reasonably accurate location estimates of nodes or targets.
These algorithms typically involve nodes sharing locations and assume that
there are no malicious nodes and no privacy issues in sharing locations.
However, localization or target tracking in the presence of malicious nodes
or nodes that do not wish to disclose their locations is much more difficult.
This project will look at current research on localization algorithms. The
student will read papers to learn about existing work and then implement
a few algorithms to compare their performance. Then, with assistance from the
supervisor, (s)he will attempt to propose improvements and/or combinations of
ideas from the papers in a Java/C/C++/MatLab simulator.
Expected learning outcomes: Apart from familiarity with the current literature,
the project will provide the student an introduction to scientific research
and analysis of experimental data.
Skills required: Proficiency with one of Java, C, C++, MatLab; interest in
developing algorithms for distributed systems; interest in experimental
approaches to problems.
References:
1. Multiple target localisation in sensor networks with location privacy,
Matthew Roughan, Jon Arnold· Proceedings of the 4th European conference on
Security and privacy in ad-hoc and sensor networks (ESAS'07), Springer-Verlag,
2007
2. Defending Wireless Sensor Networks against Adversarial Localization,
Neelanjana Dutta, Abhinav Saxena, Sriram Chellappan, Proceedings of the 2010
Eleventh International Conference on Mobile Data Management (MDM '10).