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Informationen zum Autor Domenico Ciuonzo, PhD, MSc, is a Tenure-Track Professor at the Department of Electrical Engineering and Information Technologies, University of Naples, Federico II, Italy. He obtained his MSc and PhD in Computer Engineering from the University of Campania "L. Vanvitelli", Italy, in 2009 and 2013, respectively. He was the recipient of two Best Paper awards (IEEE ICCCS 2019 and Elsevier Computer Networks 2020), the 2019 Exceptional Service Award from IEEE AESS, 2020 Early-Career Technical Achievement Award from IEEE SENSORS COUNCIL for sensor networks/systems and the 2021 Early-Career Award from IEEE AESS for contributions to decentralized inference and sensor fusion in networked sensor systems. Pierluigi Salvo Rossi, PhD, is a Full Professor and the Deputy Head with the Department of Electronic Systems, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. He is also a part-time Senior Research Scientist with the Department of Gas Technology, SINTEF Energy Research, Norway. Previously, he worked with Kongsberg Digital AS, Norway, with NTNU, Norway, with the Second University of Naples, Italy, and with the University of Naples ``Federico II,'' Italy. He held visiting appointments with Uppsala University, Sweden, with NTNU, Norway, with Lund University, Sweden, and with Drexel University, USA. He received his MSc in Telecommunications Engineering and PhD in Computer Engineering from the University of Naples "Federico II" in 2002 and 2005, respectively. Klappentext Understand the fundamental building blocks of the Internet of Things The Internet of Things is the term for an ever-growing body of physical devices, vehicles, rooms, and other objects that can collect and exchange data using embedded capacities for network connectivity. Wireless Sensor Networks (WSNs) represent the "sensing arm" of this network of objects, providing the mechanism for collecting and transmitting data from these objects. Wireless Sensor Networks in Smart Environments offers a timely and comprehensive overview of these networks and their broader impacts. Adopting both methodology- and application-oriented perspectives, the book covers both the foundational principles of WSNs and the most recent technological developments. Readers will also find: Concrete real-world examples of recent applications Detailed discussion of WSNs from the perspectives of signal processing, data communication, and security Coverage of inference, learning, control, and decision-making processes. Wireless Sensor Networks in Smart Environments is ideal for researchers and graduate students working in signal processing, communications, and machine learning....
