Internet of Things-Enabled Smart Entry System for Telecom Sites

Internet of things (IoT) is leading towards revolutionary applications with huge potential to improvise the efficiency multifold. IoT with the use of sensors has opened a huge window for applications in almost every area of life, and its penetration is endless with wireless connectivity. In this chapter, a wireless sensor-based solution for smart access control system for telecom sites is proposed and implemented. This project is initially implemented for 10 sites for a leading telecom operator, which will later on be scalable. This solution provides smart access to site engineers on the telecom site. Also, this system helps to remotely monitor multiple sites simultaneously, which protects the site from any forced entry and vandalism. The proposed solution and its implementation are given in detail in the chapter.

The Integration and Implementation of the Internet of Things Through Digital Transformation

The purpose of this chapter is to address challenges related to the integration and implementation of the developing internet of things (IoT) into the daily lives of people. Demands for communication between devices, sensors, and systems are reciprocally driving increased demands for people to communicate and manage the growing digital ecosystem of the IoT and an unprecedented volume of data. A larger study was established to explore how digital transformation through unified communication and collaboration (UC&C) technologies impact the productivity and innovation of people in the context of one of the world's largest automotive enterprises, General Motors (GM). An analysis and exploration of this research milieu, supported by a critical realist interpretation of solutions, suggested that recommendations can be made that the integration and implementation of digital transformation, delivered via UC&C technologies, impact productivity and opportunity for driving innovation within a global automotive enterprise.

Applications of Cloud-Based Internet of Things

Cloud storage is a great way for companies to fulfill more of their data-driven needs and excellent technology that allows the company to evolve and grow at a faster pace, accelerating growth and providing a flexible forum for developers to build useful apps for better devices to be developed over the internet. The integration of cloud computing and the internet of things creates a scalable, maintainable, end-to-end internet of things solution on the cloud network. By applying the infrastructure to the real universe, it generates sources of insight. Cloud computing and IoT are separate technology but are closely associated and are termed as ‘cloud-based IoT' as IoT has the ability to create intelligent goods and services, gather data that can affect business decisions and probably change the business model to boost success and expansion, and cloud infrastructure can be at the heart of all IoT has to deliver.

On IoT and Its Integration With Cloud Computing

Internet of things witnessed rapid growth in the last decade and is considered to be a promising field that plays an all-important role in every aspect of modern-day life. However, the growth of IoT is seriously hindered by factors like limited storage, communication capabilities, and computational power. On the other hand, cloud has the potential to support a large amount of data as it has massive storage capacity and can perform complex computations. Considering the tremendous potential of these two technologies and the manner in which they complement one another, they have been integrated to form what is commonly referred to as the cloud of things (CoT). This integration is beneficial as the resulting system is more robust, intelligent, powerful, and offers promising solutions to the users. However, the new paradigm (CoT) is faced with a significant number of challenges that need to be addressed. This chapter discusses in detail various challenges like reliability, latency, scalability, heterogeneity, power consumption, standardization, etc. faced by the cloud of things.

Smart Farming Using Internet of Things

Smart farming through IoT technology could empower farmers to upgrade profitability going from the amount of manure to be used to the quantity of water for irrigating their fields and also help them to decrease waste. Through IoT, sensors could be used for assisting farmers in the harvest field to check for light, moistness, temperature, soil dampness, etc., and robotizing the water system framework. Moreover, the farmers can screen the field conditions from anyplace and overcome the burden and fatigue to visit farms to confront problems in the fields. For example, farmers are confronting inconvenience while utilizing right quantity and time to use manures and pesticides in their fields as per the crop types. In this chapter, the authors have introduced a model where farmers can classify damaged crops and healthy crops with the help of different sensors and deep learning models. (i.e., The idea of implementing IoT concepts for the benefit of farmers and moving the world towards smart agriculture is presented.)

Future Aspects and Research Perspectives of the Internet of Things

Fog computing has latency, particularly for healthcare applications, which is of the utmost importance. This research aims to be a comprehensive literature analysis of healthcare innovations for fog computing. All of these components involved special abilities. In sequence, developers must be qualified to write stable, healthy IoT programs in four distinct fields of software production: embedded, server, tablet, and web-based. Furthermore, the distributed results, IoT structure essence, dispersed abilities in programming play a deciding position. This chapter discusses the difficulties in creating the IoT method and summarizing findings and observations. Experiences of the need for and co-presence of various kinds of skills in software creation in the construction of IoT applications are discussed.

Shifting Legacy Robotic Manufacturing Towards Industry 4.0

The mission of this chapter is to review and investigate the requirements and applications of using cloud-based internet of things (CIoT) for shifting the legacy robotic manufacturing towards Industry 4.0. Sensing and communications are two requirements of Industry 4.0. In the chapter, the legacy robotic manufacturing equipment collaborate with the environment, where it supports sustainable manufacturing. An implementation example of the proposed scenario will be discussed in this chapter.

Cloud-Based Smart City Using Internet of Things

The cloud-based smart city is a way to provide resources and data on demand. Two technologies used to build cloud-based smart city, IoT, and cloud computing are explored. Using smart sensors can capture the movement of the environment, humans, and city infrastructure like building maintenance, traffic control, transportation, pollution monitoring. This is possible through IoT. Future movement could be predicted based on present and past data. Cloud computing is used for cloud storage. Using cloud, users can access resources in virtual mode at any time or anywhere. It can be accessed at different locations at the same time through high speed internet. Cloud is managed by a third party. Users don't have any knowledge regarding resource location and data, such as where user data is stored. Users use cloud service in virtual mode. Basically, cloud is a service provider platform that provides resources and data storage facility in a virtual way; users don't need to purchase resources.

Internet of Things and Its Relevance

The internet of things (IoT) model connects physical devices to the virtual world and enables them to interact. It enables smart devices to communicate with other devices to exchange information. To link a wireless network or cloud network, it takes the help of several technologies such as radio frequency identification (RFID), wireless sensor network (WSN), near field communication (NFC), ZigBee, and others. The IoT requires a standard architecture and protocol stack to establish links between the devices. This chapter provides a brief introduction, pillars, the evolution, architecture, application of IoT, and issues related to IoT implementation in real life.

Sustainability of Cloud-Based Smart Society

Today, everything is progressing to ‘Smart' to enhance the environment via technological progress including IoT, big data, AI, ICT, and so on. But, in this whole process, the sustainability of being ‘smart' is implemented by the cloud-based technology, which also acts as an engine. Smart society is another live example of this era that makes potential use of digital technology and sensor devices to improve people's lives through the internet. It also incorporates cloud computing, which significantly benefits them by offering a sustainable environment to access the computing power at large scale, which they could not previously access due to lack of resources. This chapter provide a broad overview of smart society that covers the scope and services, technological pillars, features necessities to be titled as ‘smart', and a sustainable development. Also, it broadly covers the role of cloud computing, related technologies, and generic architecture for the sustainability of smart societies followed by applications with a case study and challenges.