Bridging Reliability Analysis and Reality in Sensor Systems

The Problem

From the viewpoint of researchers, developers, and even consumers, reliability analysis is recognized as an indispensable step before sensor network systems can be widely deployed for mission-critical applications. However, there is a big gap between traditional network reliability analysis theories and realistic sensor network system environments. In this research, we close such gap through new metrics, analytic models, and approaches for the reliability analysis of large-scale sensor networks.


Specifically, the research has three major components: 1) concepts, metrics, and models for describing the reliability behavior of sensor networks, 2) new algorithms and methodologies for efficient reliability evaluation of sensor networks, and 3) applications/case studies for demonstrating the practical significance of the proposed theoretical approaches.


This research is partially supported by NSF Award # 1112935.