Research  Projects Completed

Pervasive Information Communities Organization (PICO)

Funded by the National Science Foundation

PI : Mohan Kumar

   The project, Pervasive Information Community Organization (PICO), has been a boost to the research activities in pervasive computing at the University of Texas at Arlington. First, we have developed a framework for creating, composing and maintaining middleware services in pervasive computing environments. Second, an architecture for supporting middleware services in heterogeneous pervasive and ad hoc networking systems has been developed. Third, a mechanism for information fusion has been developed fusing information from multiple sources in pervasive environments. Fourth, a prototype system for a telemedicine application comprising of heterogeneous devices and networks has been developed. A web based prototype that depicts the action taken by PICO middleware in the event of a car accident scenario has been developed for demonstration. The demonstration is available at http://pico.uta.edu

This material is based upon work supported by the National Science Foundation

Past Doctoral Students : Swaroop Kalasapur and Mi Joem Kim

Past Masters’ Students:  Sriram Murthy, Siddarth Patil, Sindhu Manchenahalli, Hitha Alex, Kumarvel Senthivel, Aparna Kailas

Current Doctoral Students: Sagar Tamhane and Hitha Alex

Flexible Integrated Caching Approach (FICA)

PI : Sajal K Das ; Co-PI : Mohan Kumar

Funded by the Texas Advanced Research Program 

    Main Contributions in this project:

·  Development of a lightweight dynamic scheme for maintaining cache consistency in mobile and distributed systems

· Development of Resource-aware Speculative Prefetching Scheme in Mobile and Wireless Networks

· Energy Efficient Cooperative Scheme for Hybrid wireless networks

· A Greedy-Dual Passive Prefetching Algorithm for mobile wireless systems 

· Development of a Scheme for Cooperative Caching in Mobile Peer-to-Peer Systems

Past Doctoral Students: Huaping Shen and Zhijun Wang

Past Masters’ students:  Suchita Mary Joseph and Ravindra Kamabalakatta;

Title: Pervasive computing middleware for creating secure infrastructures  (2003-2008)

 

Funded by the National Science Foundation

Co-PI : Mohan Kumar

 

Information acquired by large number of heterogeneous sensors needs to be integrated in a proactive, intelligent, and situation-aware manner to predict the occurrence of events (including security) in the PSI framework.  In this project, we investigated the applicability of sensors by deploying collaborating software agents that meet the needs of dynamic applications. Two major challenges for proactive and real time collaboration among agents are (1) heterogeneity of sensors, information representation and granularity  and (2) fusion of uncertain, redundant, complementary and time sensitive information from various sensors.  We investigated the coupling of sensors and associated agents for real time information fusion and decision making in distributed and dynamic applications. The agents cooperate in real-time to make intelligent and informed decisions using Bayesian Network reasoning.  We have developed and demonstrated a learning based approach to effectively measure the confidence in cooperating agent observations. This work resulted in the development of an adaptive middleware architecture called MidFusion to facilitate information fusion in sensor network applications.  MidFusion discovers and selects the best set of sensors or sensor agents on behalf of applications (transparently), depending on the quality of service (QoS) guarantees and the cost of information acquisition. The mechanism to select the best set of sensors using the principles of Bayesian and Decision theories has been developed. A sensor selection algorithm (SSA) for selecting the best set of sensors has been developed. 

 

Current Doctoral Students: Hitha Alex, Bridget Beamon and Kunal Shah