Wireless Sensor Network (WSN) has achieved a great contribution in establishing the recent technological revolution. One of the most important challenges in WSNs is extending the lifetime of the network, wherein each task performed by a sensor node requires an amount of energy to complete. ...
In real life applications, a major concern is to identify whether babies are able to breath properly during sleep. Fig. 6(e) shows the real-time waveform of the breath signals recorded by the sensor with the conditions switched between NB and SB. The corresponding movie is provided as “...
However, harsh and hostile environments in which wireless sensor networks are deployed force the mobility of the sinks to be limited in real applications. Velocity of the mobile sinks for the wireless sensor networks deployed in hostile environments is so slow and consequently considerable sink ...
Human activity recognition (HAR) is the process of enabling computers to recognize human activities by analyzing patterns in different data types, including sensor data, images, and videos. Research on HAR is important as it is the principal method for accomplishing applications, such as identifying ...
In addition, specific new applications are being developed and integrated, including a tracking system for position determination and for analysis and verification of spatiotemporal behaviour patterns of users in the restaurant and a mobile application for real-time monitoring and...
applications. For example, in horticulture, sensors need to be deployed such that they have high coverage and accuracy through large and dense sensor networks. Having to deploy many highly accurate but expensive sensors will incur higher deployment costs. Therefore, most IoT applications use low-...
As a stress hormone existing in the human body, cortisol can reflect the psychological stress and health status in daily life, and is a potential biomarker of the body’s stress response. To effectively collect sweat and accurately identify the target, t
sensors are combined with TENGs to detect chemical compounds and biomarkers in exhaled gases3,5,34. This non-invasive diagnostic approach finds applications in monitoring physiological parameters and indicating diseases like diabetes, cancer, and COVID-192,14,21,36,38. In the following, a number ...
applications, indicating a significant tool for individually rationalizing strategies toward those applications. Results Materials and device design Figure1ais the overall design of the Pt-PPy+and PPy0-based LC sensor for accurate and real-time NH3monitoring. This design includes a square inductor (Ls...
Evolution of IoT-enabled connectivity and applications in automotive industry: A review Md. AbdurRahim, ...D.Ramasamy, inVehicular Communications, 2021 2.2.6Wireless sensor networks Wireless sensor networks(WSNs) can be defined as a network comprised of various nodes as a sensor that works cooperat...