Self-Alerting Garbage Bins Using Internet of Things

Internet of things (IoT) plays an imperative role in making the shop floor greener, safer, and more efficient. Enhancement in security and personal satisfaction can be accomplished by interfacing gadgets, vehicles, and infrastructure all around the shop floor. Best technical solutions can be attained in shop floor by assembling different stakeholders to work together. This chapter provides intelligence to garbage bins, using an IoT model with sensors that represent waste gathering management solution. It can peruse, gather, and transmit gigantic volume of information. This information is used to vigorously handle waste collection mechanism and the notification is sent to UDS department. Simulations for some cases are agreed out to examine the profits of such system over a conventional system.

Bridging the IoT Gap Through Edge Computing

In the present-day scenario, computing is migrating from the on-premises server to the cloud server and now, progressively from the cloud to Edge server where the data is gathered from the origin point. So, the clear objective is to support the execution and unwavering quality of applications and benefits, and decrease the cost of running them, by shortening the separation information needs to travel, subsequently alleviating transmission capacity and inactivity issues. This chapter provides an insight of how the internet of things (IoT) connects with edge computing.

Enhancement of IoT-Based Smart Hospital System Survey Paper

In an IoT environment, smart object, an ultimate building block, enables the thing-to-thing communication in a smooth way. Huge numbers of heterogeneous objects are connected with each other for sharing data and resources with less human intervention. Sensor data can be used to provide different features by automation, which causes less manpower and less disturbances to human life. Integrating IoT technologies into healthcare domain is major research area, which provides continuous monitoring of human health condition without any interruption and provides optimal services in emergency cases. The proposed system is embedded with enhanced innovative method to predict future events based on its observations. In this chapter, a new framework for smart healthcare systems is introduced by adding intelligent decision making, data fusion, and prediction algorithms using machine learning concepts.

Data Science and Knowledge Analytic Contexts on IoE Data for E-BI Application Case

The progressive data science and knowledge analytic tasks are gaining popularity across various intellectual applications. The main research challenge is to obtain insight from large-scale IoE data that can be used to produce cognitive actuations for the applications. The time to insight is very slow, quality of insight is poor, and cost of insight is high; on the other hand, the intellectual applications require low cost, high quality, and real-time frameworks and algorithms to massively transform their data into cognitive values. In this chapter, the author would like to discuss the overall data science and knowledge analytic contexts on IoE data that are generated from smart edge computing devices. In an IoE-driven e-BI application, the e-consumers are using the smart edge computing devices from which a huge volume of IoE data are generated, and this creates research challenges to traditional data science and knowledge analytic mechanisms. The consumer-end IoE data are considered the potential sources to massively turn into the e-business goldmines.

Business Aspects, Models, and Opportunities of IoT

The new conceivable rule of the future is going to be anything can be connected and will be connected over the internet. Technically, internet of things, is defined as the computing concept of connecting the devices over the internet. This adds a level of digital intelligence to the devices, enabling them to communicate without the human being involved. This chapter will discuss about the business aspects, models, and opportunities involved in IoT. The internet of things or IoT is basically about the interconnection of uniquely identifiable and programmable embedded devices within its infrastructure with the help of the internet.

Data Security in WSN-Based Internet of Things Architecture Using LDS Algorithm

The possibility of internet of things (IoT) was produced in parallel to WSNs. The term IoT was formulated by Kevin Ashton in 1999 and alludes to remarkably identifies items and their virtual portrayals in a “internet like” structure. While IoT does not accept a specific communication approach, wireless data transfer will assume a noteworthy part, and specifically, WSNs will multiply numerous applications. The small, cheap, and low-powered WSN sensors will bring the IoT to even the smallest items introduced in any sort of condition at sensible expenses. There are several methods and tactics for distributed IoT systems to prevent security attacks or contain the extent of damage of such attacks. Many of these deserve significant computational, communication, and storage requirements, which often cannot be contented by resource-constrained sensor nodes. This chapter proposes a WSN architecture with energy-efficient communication with secure data packets with a proposed LDS (Lino-Dhanasekaran, Suresh) algorithm which is useful in IoT applications.

IoT Interoperability on Top of SDN/NFV-Enabled Networks

The ubiquity of the internet led to a diverse number of devices referred to as the “things” to have online access. The internet of things (IoT) framework's infrastructure is formed by sensors, actuators, computer servers, and the communication network. Within this framework, the chapter focuses on IoT interoperability challenges through virtualization agility. The use of SDN/NFVs aims to face the 5G interoperability challenge by allowing the automatic deployment and programming of network services. Consequently, virtual gateways need to be used so that interoperability is ensured between various objects and technologies. As a result, experiments will be performed on various IoT platforms which consist of physical and virtual parts. In specific, the process will be on top of a testbed so that MQTT, CoAP, and UDP protocols will be instantiated and set up in order to provide an interoperable layer using a virtual gateway.

Autonomous Crop Care System Using Internet of Things

In today's world, the quality of the crops is of utmost importance. Crops need to be effectively cared for, and steps are needed to ensure their healthy growth. Smart Irrigation is a major topic that has been implemented in certain regions, but the accumulation of various sensors is the key to the effective safety of crops. In the chapter, various sensors are being deployed and used in synchronization. The primary ones included in the system are the water level and moisture sensor, which works in correspondence with the water motor; the proximity (PIR) sensor, which works in accordance with the buzzer and the webcam; and finally, the light-dependent resistor (LDR), which works in relation with the artificial light. The analog data received from the sensors are transmitted to the raspberry-pi and then sent over the network using a Wi-Fi module to Ubidots, where the data will be analyzed, and necessary actions will be taken. The components to be used in the system will guarantee overall prolific, scalable, and ardent implementation.

Resolution of Issues and Health Improvement Using Big Data and IoT

With the development of promising technology, industrial, and instructive enhancement, there are greater changes in the lifestyles of people in smart cities, and also there is more chance of health problems in urban areas. The way of life of individuals in metro-urban areas with expansive volume of populace is similarly influenced by different application and administration frameworks. In this way, the majority of the urban communities are transforming into smart urban areas by receiving mechanized frameworks in every conceivable segment. Therefore, there are more health-related issues, and health hazard issues can be identified in urban areas. This chapter carries out a detailed survey of health issues and improved solutions in automated systems using big data analytics, IoT, and smart applications.

Internet of Things

The internet of things is a prime technology that promises to improve human lives. The revolution of the internet of things (IoT), along with the rapid growing of robots in many applications of everyday life, makes embedded IoT with robotics applications impact the future social growth. IoT technology aims at improving the quality of following social things similar to urban life by collecting personal data, tracking human movements, mapping them with various sources of information. The objective of the internet of things is to connect billions of things like sensors, actuators, RFID devices, and others make this technology an important aspect in our everyday life and work. The IoT could emphasize the social values as privacy, equality, trust, and individual choice and their implementation and management.