Context aware routing in Distributed Sensor Networks for data gathering and dissemination

This paper proposes a context aware routing in distributed sensor network for data gathering and dissemination. A Distributed Sensor Network (DSN) is composed of intelligent sensors that are geographically dispersed in the region of interest and interconnected through a communication network. The (acoustic, seismic, and infrared) data by leaf sensor nodes are transmitted over the network and integrated at the processing element to derive appropriate interferences about the environment for different purposes, such as target tracking, location, surveillance and so on. Since a DSN is typically deployed for remote operations in unstructured area and the measurements are usually collected in a harsh, unreliable, and even adversarial environment, it is critical to provide extended networking capability to guarantee the performance of the entire system. In this work, we consider different contexts in distributed sensors network by considering the scenario of forest area such as: temperature context, air pressure context and object aware context. This work mainly focuses on routing the data from source to sink, and gathering and dissemination of related data. In this work, data aggregation is done in two phase: In first phase data is aggregated in Data Aggregator (DA) and in second phase data is aggregated in Master Aggregator (MA). If the context is in the emergency level then data is disseminated to target area. We simulated the context aware routing for data gathering and dissemination to test the operation scheme in terms of performance parameters.