A model-based transformation framework for designing and analyzing wireless sensor networks

Abstract

Wireless sensor networks (WSNs) comprise resource-constrained (e.g., memory, processing, and energy) sensor nodes that are deployed in different areas and are able to monitor environmental conditions. Simulation has been widely used in order to evaluate the network performance. In this context, software designers need to evaluate, refine, and validate high-level models for WSN applications at early stages of development via simulation tools, in particular for WSN applications supporting energy-harvesting devices. In the present paper, we propose a model-based transformation framework that allows the modeling and simulation of a WSN system supporting energy-harvesting capabilities. In this proposal, we start from a high-level specification based on the UML/MARTE profile, which describes an energyharvesting WSN node. Then a model-to-text (M2T) transformation allows us to generate simulation scripts for analysis purposes by focusing on energy consumption.

Image subset communication for resource-constrained applications in wireless sensor networks

“…Unlike scalar data (temperature, humidity, etc. ), compressed images are larger by many orders of magnitude and the availability of transmission energy determines the sensor node's lifetime [4,5]. Joint Photographic Experts Group (JPEG) is the predominant image coding standard with large deployment in security, medical, and industrial applications 1 [6].…”