Summary:
Context-Aware Systems (CAS) is a fast-growing research area with application in
various sectors of industry. Contemporary systems, typically, contain a
wireless network infrastructure, which forwards the contextual information from
the observed area to the application. The latter will process that and adjust
its behavior, correspondingly. That network infrastructure is composed of
sensors that hold limited energy resources. Our focus is on the proposal of a
new scheme, which efficiently manage energy consumption in Wireless Sensor
Networks (WSN) for the purpose of longer CAS’s lifetime.
We design, implement and simulate two novel schemes. These models, in order to
gain the desired results, compress contextual information. This compression is
achieved by autoregressive vector model and principal components analysis. A
comparative assessment with other energy efficient models is reported
demonstrating the applicability and superiority of the proposed methods.
Keywords:
Contextual Information Compression, Energy Efficiency, Wireless Sensor Networks (WSN), Intelligent Forwarding Scheme, Vector Autoregressive Model
