Sensor network has a wide variety of applications including day-to-day activities of human beings, the handling of large-scale environmental disasters, and military surveillance. Sensor network monitoring particularly in dynamic environments pose unique technical challenges due to the nondeterministic nature of events. We investigate the problems of sensor network architectures and protocols that deal with the issue of dynamic environments. It is an important goal to identify and respond to events in wireless sensor networks in an efficient manner with respect to sensor network resource utilization and performance. We are investigating a new architecture for sensor networks that 1) facilitates event driven sensor mobility by the use of 2) an Enrollment Protocol that supports effective use of resources through clustering of sensor networks and 3) a Group-Study Protocol that responds to events in either collaborative, competitive or abroad mode. Simulation results suggest that the proposed model is efficient in terms of energy, time and resource utilization.
Sourish Dasgupta is a Ph.D. student in the School of Computing and Engineering at the University of Missouri- Kansas city. His main research interests include Semantic Web, Data Mining, Distributed Computing and intelligent sensor network systems. He received his Bachelor of Information Technology (BIT) degree from Manipal Academy of Higher Education and Master of Computer Application (MCA) degree from West Bengal University of Technology in 2003 and 2006, respectively.