Context Aware Data Collection Framework for Critical Infrastructure Monitoring System

Abstract

With the exponential increase in number of connected sensor devices for various smart home applications, a huge amount of heterogeneous data are generated every day. Collection technique plays a crucial role in defining the application QoS. In this paper, we propose a novel data collection framework to serve different applications used for critical infrastructure monitoring. The proposed framework adopts a context-aware forwarding strategy to ensure higher delivery reliability. The overall cost of data collection is significantly low due to the incorporation of in-network data aggregation and fusion on demand basis. The effectiveness of the proposed scheme has also been established using simulation results.