Smart Sensors and Internet of Things: A Postgraduate Paper

Islam, Tarikul; Mukhopadhyay, Subhas Chandra; Suryadevara, Nagender Kumar

doi:10.1109/jsen.2016.2630124

Cited by 84 publications

(29 citation statements)

References 19 publications

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“…This approach develops the concept of 'smart sensor, ' which was initially defined as 'smart transducer' [22]. A smart sensor is a sensor with computing and communication capabilities to make computations with the acquired data, make decisions, and store information for further use and perform two-way communications [23]. Smart sensors are becoming integral parts of intelligent systems and they are indispensable enablers of the IoT paradigm and the corresponding development of advanced applications.…”

Section: Localmentioning

confidence: 99%

Review of the Complexity of Managing Big Data of the Internet of Things

et al. 2019

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There is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing field of the Internet of Things (IoT). Complexity arises from several aspects of the Big Data life cycle, such as gathering data, storing them onto cloud servers, cleaning and integrating the data, a process involving the last advances in ontologies, such as Extensible Markup Language (XML) and Resource Description Framework (RDF), and the application of machine learning methods to carry out classifications, predictions, and visualizations. In this review, the state of the art of all the aforementioned aspects of Big Data in the context of the Internet of Things is exposed. The most novel technologies in machine learning, deep learning, and data mining on Big Data are discussed as well. Finally, we also point the reader to the state-of-the-art literature for further in-depth studies, and we present the major trends for the future.

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Section: Localmentioning

confidence: 99%

Review of the Complexity of Managing Big Data of the Internet of Things

et al. 2019

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“…Smart grids can monitor the state of a grid in real time and use the information to operate the grid in a secure, reliable, and stable way, with lower costs and improved energy efficiency [1][2][3]. In this context, sensors and actuators (network breakers) are crucial players in smart grid management [4][5][6]. Employing sensors for real-time monitoring allows one to deal with the power management of distributed energy resources, such as distributed generators (DGs) [7] and electric vehicles [8], as well as to improve the smart grid's reliability [9].…”

Section: Introductionmentioning

confidence: 99%

Smart Sensors for Smart Grid Reliability

Alonso

Amarís

Alcala

et al. 2020

Sensors

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Sensors for monitoring electrical parameters over an entire electricity network infrastructure play a fundamental role in protecting smart grids and improving the network’s energy efficiency. When a short circuit takes place in a smart grid it has to be sensed as soon as possible to reduce its fault duration along the network and to reduce damage to the electricity infrastructure as well as personal injuries. Existing protection devices, which are used to sense the fault, range from classic analog electro-mechanics relays to modern intelligent electronic devices (IEDs). However, both types of devices have fixed adjustment settings (offline stage) and do not provide any coordination among them under real-time operation. In this paper, a new smart sensor is developed that offers the capability to update its adjustment settings during real-time operation, in coordination with the rest of the smart sensors spread over the network. The proposed sensor and the coordinated protection scheme were tested in a standard smart grid (IEEE 34-bus test system) under different short circuit scenarios and renewable energy penetration. Results suggest that the short-circuit fault sensed by the smart sensor is improved up to 80% and up to 64% compared with analog electromechanics relays and IEDs, respectively.

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“…In the past, maintenance used to be considered difficult to conduct, however, with recent technological advances, it is no longer an issue [3]. An example of such an advancement includes the concept of IoT technology where people, processes, and things are connected [4]. Similarly, our proposed system reflects the aspect of 'things' by making use of sensors and actuators.…”

Section: Introductionmentioning

confidence: 99%

IoT Based Smart City Bus Stops

et al. 2019

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The advent of smart sensors, single system-on-chip computing devices, Internet of Things (IoT), and cloud computing is facilitating the design and development of smart devices and services. These include smart meters, smart street lightings, smart gas stations, smart parking lots, and smart bus stops. Countries in the Gulf region have hot and humid weather around 6–7 months of the year, which might lead to uncomfortable conditions for public commuters. Transportation authorities have made some major enhancements to existing bus stops by installing air-conditioning units, but without any remote monitoring and control features. This paper proposes a smart IoT-based environmentally - friendly enhanced design for existing bus stop services in the United Arab Emirates. The objective of the proposed design was to optimize energy consumption through estimating bus stop occupancy, remotely monitor air conditioning and lights, automatically report utility breakdowns, and measure the air pollution around the area. In order to accomplish this, bus stops will be equipped with a WiFi-Based standalone microcontroller connected to sensors and actuators. The microcontroller transmits the sensor readings to a real-time database hosted in the cloud and incorporates a mobile app that notifies operators or maintenance personnel in the case of abnormal readings or breakdowns. The mobile app encompasses a map interface enabling operators to remotely monitor the conditions of bus stops such as the temperature, humidity, estimated occupancy, and air pollution levels. In addition to presenting the system’s architecture and detailed design, a system prototype is built to test and validate the proposed solution.

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Smart Sensors and Internet of Things: A Postgraduate Paper

Cited by 84 publications

References 19 publications

Review of the Complexity of Managing Big Data of the Internet of Things

Review of the Complexity of Managing Big Data of the Internet of Things

Smart Sensors for Smart Grid Reliability

IoT Based Smart City Bus Stops

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