Satish M Srinivasan
Completion Date: May 2010
Keywords: networks, security, software engineering, programming, wireless sensor networks
Personal Web Page: http://myweb.unomaha.edu/~smsrinivasan/indexsatish.html
Research Profile
The dissertation focused on Data Aggregation (DA) in Partially Connected Networks (PCN) assuming that the communication system is synchronous. Expanding on the results, the current research is focused on the following:
• Data Aggregation assuming asynchronous communication – Asynchronous communication system assumes the processing time of each node (agent) is not bounded. Therefore, the agents in the network do their voting for each round at different points of time. DA with asynchronous communication is suitable for situations where the stations are mobile, or the speeds of communications links are not the same or vary. Therefore, the convergence expressions and convergence properties are being investigated for such networks.
• Multi-domain decision making process – The data aggregation problem mostly assumes the values to vote on are singular, such as receiving a single value from each neighbor and vote on the values received. However there are applications where the data received from each neighbor are multi-domained or belong to multiple domains. An example is receiving the location of an object in terms of longitude, latitude, and altitude. Therefore, the question is how to vote on these multi-domain values, one received from each neighbor. A simple application is successfully identifying the location of an object.
• Target detection – Another avenue of research currently being investigated is in reference to “target detection”. The objective is to detect a target successfully through a distributive and collaborative decision making process. There are a number of challenging items to deal with such as distinguishing between weak sensing signals and noise signals, how to mask the faulty information from neighbors, or when not all sensing devices can detect the object in order for the network to make the right decision.
Contact Information
E-Mail: EMAIL OBFUSCATED
Phone: 4022148226
Categories Posted To:
AI / Machine Learning / Robotics / Vision, Computer Science Education / Educational Technology, Databases / Information Retrieval / Data Mining, Information Assurance / Security / Privacy / Cryptography, Information Systems / Information Science, Mobile / Ubiquitous / Embedded Computing, Networks / Operating Systems, Programming Languages / Compilers, Social Computing / Social Informatics, Software Engineering
