Measurement and Analysis of Fruit Vibration on the Truck Bed during Transportation on Highways by A Ramezani Boukat, H Navid, M. J Musevi Niya, S Ranjbar

“…Thus, this research was conducted to analyze the vibration levels for truck transport on highway roads using multi-sensor-based computing on packaged fruit in Iran.Materials and Methods Towards this goal, a wireless sensor network (WSN) made of three sensor nodes with tri-axial accelerometers was designed to measure the vibration levels of a truck equipped with leaf-spring suspension on highway roads. …”
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Low-complexity approaches to distributed data dissemination by Coleman, Todd P. (Todd Prentice), 1977-

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Cooperative inference and learning for internet-of-things with limited resources by Wang, Yuan

“…To be more speci c, this thesis covers the following aspects: Firstly, we consider a wireless sensor network (WSN) in the context of IoT where every nodes have a common learning objective, performing distributed LMS estimation cooperatively by means of exchanging local intermediate estimates. …”
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Development and testing of TV whitespace based modules for IoT applications by Sen, Sandeepan

“…Due to its comparatively low bit rate, TVWS is usually used for low data rate applications such as IoT sensor network systems or automated security systems. …”
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Ultra low-power asynchronous-logic design for high variation-space and wide operation-space applications by Lin, Tong

“…We propose a Sub-Vt Self-Adaptive VDD Scaling (SSAVS) system for a high variation-space and wide operation-space Wireless Sensor Network (WSN) with the objective of lowest possible power dissipation (in sub-Vt operation), yet high robustness and with minimal overheads. …”
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Spatial and Temporal Variations in SO2 and PM2.5 Levels Around Kīlauea Volcano, Hawai'i During 2007–2018 by Rachel C. W. Whitty, Evgenia Ilyinskaya, Emily Mason, Penny E. Wieser, Emma J. Liu, Anja Schmidt, Anja Schmidt, Tjarda Roberts, Melissa A. Pfeffer, Barbara Brooks, Tamsin A. Mather, Marie Edmonds, Tamar Elias, David J. Schneider, Clive Oppenheimer, Adrian Dybwad, Patricia A. Nadeau, Christoph Kern

“…Data from the low-cost sensor network correlated well with data from the HDOH PM2.5 instruments, confirming that these low-cost sensors provide a robust means to augment reference-grade instrument networks.…”
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Human Centered Computing : 66th International Conference, HCC 2020, Virtual Event, December 14-15, 2020 : Revised Selected Papers / by HCC (Conference : Human Centered Computing) (6th : 2020 : Online), organiser 642973, Zu, Qiaohong, editor 642970, Tang, Yong, editor 642971, Mladenović, Vladimir, editor 642972

PREFACE by V. Coors, P. Rodrigues, C. Ellul, S. Zlatanova, R. Laurini, M. Rumor

“…</p><p>As in previous years, three key conference themes were proposed to represent the Smart Cities: <strong>Smart Data</strong> (sensor network databases, on-the-fly data mining, geographic and urban knowledge modeling and engineering, green computing, urban data analytics and big data, big databases and data management), <strong>Smart People</strong> (volunteered information, systems for public participation) and <strong>Smart Cities</strong> (systems of territorial intelligence, systems for city intelligence management, 3D modeling of cities, internet of things, social networks, monitoring systems, mobility and transportation, smart-city-wide telecommunications infrastructure, urban knowledge engineering, urban dashboard design and implementation, new style of urban decision-making systems, geovisualization devoted to urban problems, disaster management systems).…”
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PREFACE by V. Coors, P. Rodrigues, C. Ellul, S. Zlatanova, R. Laurini, M. Rumor

“…</p><p>As in previous years, three key conference themes were proposed to represent the Smart Cities: <strong>Smart Data</strong> (sensor network databases, on-the-fly data mining, geographic and urban knowledge modeling and engineering, green computing, urban data analytics and big data, big databases and data management), <strong>Smart People</strong> (volunteered information, systems for public participation) and <strong>Smart Cities</strong> (systems of territorial intelligence, systems for city intelligence management, 3D modeling of cities, internet of things, social networks, monitoring systems, mobility and transportation, smart-city-wide telecommunications infrastructure, urban knowledge engineering, urban dashboard design and implementation, new style of urban decision-making systems, geovisualization devoted to urban problems, disaster management systems).…”
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Influence of reservoir geology on seismic response during decameter-scale hydraulic stimulations in crystalline rock by L. Villiger, V. S. Gischig, J. Doetsch, H. Krietsch, N. O. Dutler, M. Jalali, B. Valley, P. A. Selvadurai, A. Mignan, A. Mignan, K. Plenkers, D. Giardini, F. Amann, S. Wiemer

“…Deformations and fluid pressure were monitored using a dense sensor network in boreholes surrounding the injection locations. …”
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Electrochemical studies of hexavanadates and lithium manganese oxides for aqueous rechargeable lithium batteries by Nair, Vivek Sahadevan

“…A kinetic energy harvesting based RMS simulation tool was used to calculate the number of data packets that could be transmitted in a wireless sensor network application from the above real-time energy sources.…”
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Studies of Multilevel Networks via Fault-Tolerant Metric Dimensions by Imtiaz Ali, Muhammad Javaid, Samuel Asefa Fufa

“…This concept is widely used to find the integral solution of the problems existing in different disciplines of computer science and chemistry such as linear optimization problems, robot navigation, operation research problems, sensor networking, classification of chemical compounds, drug discoveries, source localization, embedding biological sequence data, detecting network motifs, comparing the interconnected networks and image processing. …”
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Are dense networks of low-cost nodes really useful for monitoring air pollution? A case study in Staffordshire by L. B. Frederickson, L. B. Frederickson, L. B. Frederickson, R. Sidaraviciute, J. A. Schmidt, O. Hertel, M. S. Johnson, M. S. Johnson

“…We demonstrate how data from a low-cost air pollution sensor network can reveal insights into patterns of air pollution and help determine whether sources are local or non-local. …”
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Age Analysis of Status Updating System with Probabilistic Packet Preemption by Jixiang Zhang, Yinfei Xu

“…Notice that the probabilistic packet preemption may occur, for example, in an energy harvest (EH) node of a wireless sensor network, where the packet in the buffer can be replaced only when the node collects enough energy. …”
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Transforming thermal comfort model and control in the tropics : a machine-learning approach by Hu, Weizheng

“…To address this issue, we adopt the off-the-shelf wearable device (e.g., Microsoft Band 2) for human vital sign tracking and the mature wireless sensor network (WSN) product is used for environmental data monitoring. …”
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