Challenge: Distributed Sensing Applications in Highly Heterogeneous and Multimodal Pervasive Environments

Background Dr. Di Francesco has been working in the field of Wireless Sensor Networks (WSNs) for several years, with specific focus on energy-efficient mechanisms for data collection and dissemination [1]. He investigated how different sensing modalities and acquisition strategies can improve the quality of information and the energy-efficiency in WSNs [2]. He also considered urban sensing scenarios and, more generally, applications exploiting mobile elements in WSNs [3, 4]. In this context, he applied learning algorithms for improving the efficiency of data collection [5]. More recently, he started investigating privacy issues in pervasive systems, with special reference to smart environments [6].