Internet of Things: Basic Concepts and Decorum of Smart Services

2021 ◽  
pp. 3-36
Author(s):  
Aradhana Behura ◽  
Suneeta Satpathy ◽  
Sachi Nandan Mohanty ◽  
Jyotir Moy Chatterjee
2018 ◽  
Vol 7 (3.3) ◽  
pp. 673 ◽  
Author(s):  
M Lavanya ◽  
Sujatha Srinivasan

Internet of things (IoT) is connecting physical objects around us; those physical objects can be monitored with the help of sensors. A sensor is a device, which is used to sense physical property of an element, any events or any changes present in the environment and send the in-formation to other electronic device, frequently a computer. Many research are made on those sensor enabled IoT system to provide intelli-gent and smart services, towards smart greenhouse and smart agriculture .This paper will explore various existing IoT based agriculture and greenhouse system according to their deployment with an intension of identifying how it can be improved in future using IoT, WSN and a very recent scenario of using cloud computing.   


2013 ◽  
Vol 710 ◽  
pp. 660-664
Author(s):  
Yong Li ◽  
Xin Ling Gan

The technology of the Internet of Things (IoT) has attracted highly attention of academia,industry,and news media. There are still many open issues in the definition, internal principles, architectures and system models of the IoT. Through the analysis of current technical materials, we first analyze three basic concepts and features of the IoT. Then we introduce the architecture composed of three layers of the IoT. Furthermore we summarize the key technologies of the IoT. Finally several development proposals are suggested for the IoT.


With the evolution of the Internet and related technologies, there has been an evolution of new paradigm, which is the Internet of Things (IoT). IoT is the network of physical objects, such as devices, embedded with electronics, software, sensors, and network connectivity that enables these objects to collect and exchange data. In the IoT, a large number of objects are connected to one another for information sharing, irrespective of their locations (Corcoran, 2016). Even though the IoT was defined at 1999, the concept of IoT has been in development for decades. As the technology and implementation of the IoT ideas move forward, different views for the concept of the IoT have appeared (Ma, 2011). Based on different views, in this book, the IoT is defined as a kind of modern technology, implicating machine to machine communications and person to computer communications will be extended to everything from everyday household objects to sensors monitoring the movement. Currently, we can see a few key areas of focus for the Internet of Things (IoT) that will require special attention over the course of the next decade on the part of computer science, energy technology, networks, wireless communication, and system platform. There are already a number of implementation case studies emerging from companies across a range of industry sectors.


2016 ◽  
Author(s):  
Lawrence Kehinde ◽  
Obasegun Ayodele ◽  
Olubiyi Akintade ◽  
KAZEEM Olawale

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3948
Author(s):  
Vinod Kumar ◽  
Sushil Kumar ◽  
Rabah AlShboul ◽  
Geetika Aggarwal ◽  
Omprakash Kaiwartya ◽  
...  

Recently, green computing has received significant attention for Internet of Things (IoT) environments due to the growing computing demands under tiny sensor enabled smart services. The related literature on green computing majorly focuses on a cover set approach that works efficiently for target coverage, but it is not applicable in case of area coverage. In this paper, we present a new variant of a cover set approach called a grouping and sponsoring aware IoT framework (GS-IoT) that is suitable for area coverage. We achieve non-overlapping coverage for an entire sensing region employing sectorial sensing. Non-overlapping coverage not only guarantees a sufficiently good coverage in case of large number of sensors deployed randomly, but also maximizes the life span of the whole network with appropriate scheduling of sensors. A deployment model for distribution of sensors is developed to ensure a minimum threshold density of sensors in the sensing region. In particular, a fast converging grouping (FCG) algorithm is developed to group sensors in order to ensure minimal overlapping. A sponsoring aware sectorial coverage (SSC) algorithm is developed to set off redundant sensors and to balance the overall network energy consumption. GS-IoT framework effectively combines both the algorithms for smart services. The simulation experimental results attest to the benefit of the proposed framework as compared to the state-of-the-art techniques in terms of various metrics for smart IoT environments including rate of overlapping, response time, coverage, active sensors, and life span of the overall network.


Author(s):  
Yousra Abdul Alsahib S. Aldeen ◽  
Haider Mohammed Abdulhadi

<p><span>Internet of things (IoT) is one of the prominent emerged technology of interconnected devices for people convenient and smart services. Recent advancement in this area caused various new challenges especially deployment of infrastructure. In order to fulfill the network requirements, the dynamic and dedicated drone networks have designed as a cost effective and flexible solution. The technologies of IoT and drone are emerged to collect, forward the data for further process. Data communication among drones and IoT infrastructure is new area of research where various different existing protocol are used. However, still this area need attention due to mobility of drones, obstacles and interferences in these networks. This paper proposes a Drone enabled Data Communication for Internet of Things (DDC-IoT) as a data communication solution for IoT networks, data collection centers and drones. The proposed data commination solution is tested in simulation to analyze its performance especially for real time critical applications in terms of data throughput and data delay.</span></p>


2019 ◽  
Vol 109 (07-08) ◽  
pp. 550-554
Author(s):  
J. Pöppelbuß ◽  
M. Ebel ◽  
D. Jaspert ◽  
D. Mann ◽  
D. Behnke

Vorhandene Maschinen und Anlagen, die im Feld laufen, sind oftmals produktiv, aber nicht auf dem technologischen Stand, um Smart Services zu erbringen. Marktpotenziale im Servicegeschäft werden hierdurch nicht ausgeschöpft und neue Kundenbedürfnisse können nicht adressiert werden. Das stellt Unternehmen vor die Herausforderung ihr vorhandenes Equipment nachzurüsten. Dieser Beitrag soll praxisnah einen Einblick in das Vorgehen zur Nachrüstung von Maschinen und Anlagen geben. &nbsp; Existing machines and plants in the field are often productive but not state of the art to provide smart services. Market potentials in the service business are not exploited and changing customer needs due to the Industrial Internet of Things (IIoT) cannot be addressed. This challenges companies to retrofit their existing of their existing equipment. This article describe a practice-oriented retrofit approach.


2019 ◽  
Vol 29 (3) ◽  
pp. 407-413
Author(s):  
Sung-Byung Yang ◽  
◽  
Kyung Young Lee ◽  
Sunghun Chung

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