A Framework for Compile-time and Run-time Management of Non-functional Aspects in WSNs Nodes

Abstract

The quality of realistic complex wireless sensor networks requires several non-functional aspects to be accounted for starting from the early phases of the application development. The most relevant aspects that need to be considered for optimization trade-offs are for sure computational efficiency (in a wide sense) and network lifetime. At lower level these aspects are measured as power/energy consumption and execution time. These are though not the only non-functional aspects to be considered: code size, memory requirement, security, reliability and other properties play often an important role. Accounting for and managing all these aspects explicitly and in an ad-hoc manner for each and every application deployed on a WSN is a time consuming and complex task. This paper proposes a portable, flexible and extendable framework for the description and management of non-functional aspects in the wireless sensor network context.

Carlo Brandolese

Assistant Professor

Carlo Brandolese is a researcher at the Department of Electronics and Information of the Politecnico di Milano and a consultant researcher at Cefriel Research Centre. His research interests are focused on design and low-power methodologies for embedded systems.

William Fornaciari

Associate Professor

William Fornaciari has published six books and over 200 papers, earning five best paper awards, an IEEE certification, and three international patents on low power design. Since 1997, he has participated in 18 EU-funded projects. His research focuses on multi/many-core architectures, NoC, low power design, and more.