Internet of things (IoT). Underwater communication technologies for IoT

2021 ◽  
Author(s):  
Hristo Terziev

Internet of Things is a new world for connecting object space in the real world with virtual space in a computer environment. To build IoT as an effective service platform, end users need to trust the system. With the growing quantity of information and communication technologies, the need to ensure information security and improve data security is increasing. One of the potential solutions for this are steganographic methods. Steganography based on the least significant bit (LSB) is a popular and widely used method in the spatial domain.


Author(s):  
R. Habibi ◽  
A. A. Alesheikh

Thanks to the recent advances of miniaturization and the falling costs for sensors and also communication technologies, Internet specially, the number of internet-connected things growth tremendously. Moreover, geosensors with capability of generating high spatial and temporal resolution data, measuring a vast diversity of environmental data and automated operations provide powerful abilities to environmental monitoring tasks. Geosensor nodes are intuitively heterogeneous in terms of the hardware capabilities and communication protocols to take part in the Internet of Things scenarios. Therefore, ensuring interoperability is an important step. With this respect, the focus of this paper is particularly on incorporation of geosensor networks into Internet of things through an architecture for monitoring real-time environmental data with use of OGC Sensor Web Enablement standards. This approach and its applicability is discussed in the context of an air pollution monitoring scenario.


Author(s):  
Kåre Synnes ◽  
Matthias Kranz ◽  
Juwel Rana ◽  
Olov Schelén

Pervasive computing was envisioned by pioneers like Mark Weiser but has yet to become an everyday technology in our society. The recent advances regarding Internet of Things, social computing, and mobile access technologies converge to make pervasive computing truly ubiquitous. The key challenge is to make simple and robust solutions for normal users, which shifts the focus from complex platforms involving machine learning and artificial intelligence to more hands on construction of services that are tailored or personalized for individual users. This chapter discusses Internet of Things together with Social Computing as a basis for components that users in a “digital city” could utilize to make their daily life better, safer, etc. A novel environment for user-created services, such as social apps, is presented as a possible solution for this. The vision is that anyone could make a simple service based on Internet-enabled devices (Internet of Things) and encapsulated digital resources such as Open Data, which also can have social aspects embedded. This chapter also aims to identify trends, challenges, and recommendations in regard of Social Interaction for Digital Cities. This work will help expose future themes with high innovation and business potential based on a timeframe roughly 15 years ahead of now. The purpose is to create a common outlook on the future of Information and Communication Technologies (ICT) based on the extrapolation of current trends and ongoing research efforts.


2019 ◽  
pp. 1393-1406
Author(s):  
Dmitry Namiot ◽  
Manfred Sneps-Sneppe

In this paper, the authors discuss Internet of Things educational programs for universities. The authors' final goal is to provide a structure for a new educational course for Internet of Things and related areas such as Machine to Machine communications and Smart Cities. The Internet of Things skills are in high demands nowadays and, of course, Internet of Things models, as well as appropriate Big Data proceedings elements should have a place in the university courses. The purpose of the proposed educational course is to cover information and communication technologies used in Internet of Things systems and related areas, such as Smart Cities. The educational course proposed in this paper aims to introduce students to modern information and communication technologies and create the formation of competencies needed for such areas as Machine to Machine communications, Internet of Things, and Smart Cities. Also, the authors discuss Big Data issues for IoT course and explain the importance of data engineering.


Author(s):  
Aman Tyagi

Elderly population in the Asian countries is increasing at a very fast rate. Lack of healthcare resources and infrastructure in many countries makes the task of provding proper healthcare difficult. Internet of things (IoT) in healthcare can address the problem effectively. Patient care is possible at home using IoT devices. IoT devices are used to collect different types of data. Various algorithms may be used to analyse data. IoT devices are connected to the internet and all the data of the patients with various health reports are available online and hence security issues arise. IoT sensors, IoT communication technologies, IoT gadgets, components of IoT, IoT layers, cloud and fog computing, benefits of IoT, IoT-based algorithms, IoT security issues, and IoT challenges are discussed in the chapter. Nowadays global epidemic COVID19 has demolished the economy and health services of all the countries worldwide. Usefulness of IoT in COVID19-related issues is explained here.


Author(s):  
Bharathi N. Gopalsamy

The central hypothesis of Internet of Things is the term “connectivity”. The IoT devices are connected to the Internet through a wide variety of communication technologies. This chapter explains the various technologies involved in IoT connectivity. The diversity in communication raises the query of which one to choose for the proposed application. The key objective of the application needs to be defined very clearly. The application features such as the power requirement, data size, storage, security and battery life highly influence the decision of selecting one or more communication technology. Near Field Communication is a good choice for short-range communication, whereas Wi-Fi can be opted for a larger range of coverage. Though Bluetooth is required for higher data rate, it is power hungry, but ZigBee is suitable for low power devices. There involves always the tradeoff between the technologies and the requirements. This chapter emphasizes that the goal of the application required to be more precise to decide the winner of the IoT connectivity technology that suits for it.


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