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Smart city article details
| Title | Conclusions And Future Perspectives |
|---|---|
| ID_Doc | 15579 |
| Authors | Davoli, L; Ferrari, G |
| Year | 2019 |
| Published | Data Fusion in Wireless Sensor Networks |
| DOI | http://dx.doi.org/10.1049/PBCE117E_ch13 |
| Abstract | This edited book has dealt with data fusion in wireless sensor networks (WSNs) from a statistical signal-processing perspective. The effective use of data fusion in sensor networks is not new and has had extensive application to surveillance, security, traffic control, health care, environmental and industrial monitoring in the last decades. However, the rising paradigms of Internet-of-Things (IoT) and cyber-physical systems is fueling the huge, steadily increasing and pervasive (i.e., virtually in every spot) presence of wireless-connected network-enabled devices, in most cases inexpensive sensors, in everyday life (including most workplaces). On one hand, this represents an unprecedented opportunity toward the accomplishment of the innovative concepts of Smart Cities, Smart Factories, Industry 4.0 and Society 5.0. On the other hand, the stringent bandwidth and energy limitations imposed by the network coupled with sensor-fabrication (e.g., size and cost) constraints makes the design of inference systems, able to fuse sensors’information to obtain high-level information of a certain phenomenon of interest, very challenging. Such picture is worsened by the obvious necessity of dealing with measurements drawn from heterogeneous (multimodal) sensors, which provide information-diversity and enable the collection of different kinds of data (in big volumes) about the surrounding scenario. The aim of this book was to provide a systematic overview of the relevant issues and corresponding methodological solutions to some of the key milestones within this (wide) research field. These include the sensing and reporting phases, the architectural choice of the WSN (with the corresponding implications) and some selected cross-layer aspects, imposed by both the context and novel technological advancements. © The Institution of Engineering and Technology 2019. |
| Author Keywords | Cyber-physical systems; Cyber-physical systems; Data fusion; Heterogeneous sensors; Internet of things; Internet-of-things; IoT; Multimodal sensors; Sensing devices and transducers; Sensor fusion; Sensor fusion; Signal processing and detection; Statistical signal-processing; Ubiquitous and pervasive computing; Wireless sensor networks; Wireless sensor networks; Wireless sensor networks; Wireless-connected network-enabled devices; WSN |
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