Advanced Congestion Control Mechanisms for Internet of Things

The number of IoT devices is growing at high speed, around 18 billion devices are forecast by 2022. Many of these devices are implemented with simple hardware, with low specifications and low resources. Taking into account the limited hardware resources and the huge network formed by IoT devices, CoAP was born as a lighter application protocol than HTTP. One important task for this scenario is the congestion control of huge networks using simple hardware devices. CoAP implements a simple congestion control solution, but many research articles show that this solution is not very efficient and it could be improved using other congestion control algorithms. CoCoA was born with the aim of being the standard congestion control algorithm for CoAP and has been proven through many studies, that it improves CoAP default performance in several scenarios. However, some research articles show that CoCoA offers low performance in bufferbloat scenarios. This thesis evaluates CoCoA in bufferbloat scenarios and introduces changes on CoCoA algorithm, achieving an improvement on its performance

An Advanced Conceptual Diagnostic Healthcare Framework for Diabetes and Cardiovascular Disorders

The data mining along with emerging computing techniques have astonishingly influenced the healthcare industry. Researchers have used different Data Mining and Internet of Things (IoT) for enrooting a programmed solution for diabetes and heart patients. However, still, more advanced and united solution is needed that can offer a therapeutic opinion to individual diabetic and cardio patients. Therefore, here, a smart data mining and IoT (SMDIoT) based advanced healthcare system for proficient diabetes and cardiovascular diseases have been proposed. The hybridization of data mining and IoT with other emerging computing techniques is supposed to give an effective and economical solution to diabetes and cardio patients. SMDIoT hybridized the ideas of data mining, Internet of Things, chatbots, contextual entity search (CES), bio-sensors, semantic analysis and granular computing (GC). The bio-sensors of the proposed system assist in getting the current and precise status of the concerned patients so that in case of an emergency, the needful medical assistance can be provided. The novelty lies in the hybrid framework and the adequate support of chatbots, granular computing, context entity search and semantic analysis. The practical implementation of this system is very challenging and costly. However, it appears to be more operative and economical solution for diabetes and cardio patients.Comment: 11 PAGE

Intelligent Green Communication Network for Internet of Things

The text covers the advanced and innovative concept of green communication networks using the Internet of Things in different fields including cloud technology, agriculture, the automobile sector, and robotics. It will also help readers in learning the efficient use of sensors and devices in the Internet of Things networks. The text covers 5G communication and its application for intelligent and green network-enabled Internet of Things. This book • Discusses intelligent and green networking-enabled Internet of Things • Covers architectures and models for intelligent and green communication networks-enabled Internet of Things • Discusses designing Internet of Things devices that help in reducing the emissions of CO2 in the environment and energy consumption • Highlights green computing approach and green communication network designs and implementations for Internet of Things ecosystem • Includes studies on energy-aware systems, technologies, and green communication This book comprehensively discusses recent advances and applications in the area of green Internet of Things communication in a single volume. It will serve as an ideal reference text for senior undergraduate and graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology

A Trust Model Based on Service Classification in Mobile Services

Internet of Things (IoT) and B3G/4G communication are promoting the pervasive mobile services with its advanced features. However, security problems are also baffled the development. This paper proposes a trust model to protect the user's security. The billing or trust operator works as an agent to provide a trust authentication for all the service providers. The services are classified by sensitive value calculation. With the value, the user's trustiness for corresponding service can be obtained. For decision, three trust regions are divided, which is referred to three ranks: high, medium and low. The trust region tells the customer, with his calculated trust value, which rank he has got and which authentication methods should be used for access. Authentication history and penalty are also involved with reasons.Comment: IEEE/ACM Internet of Things Symposium (IOTS), in conjunction with GreenCom 2010, IEEE, Hangzhou, China, December 18-20, 201

Proceedings of the 1st joint workshop on Smart Connected and Wearable Things 2016

These are the Proceedings of the 1st joint workshop on Smart Connected and Wearable Things (SCWT'2016, Co-located with IUI 2016). The SCWT workshop integrates the SmartObjects and IoWT workshops. It focusses on the advanced interactions with smart objects in the context of the Internet-of-Things (IoT), and on the increasing popularity of wearables as advanced means to facilitate such interactions

Sistem Informasi Berbasis Web Untuk Memonitoring Perangkat Internet of Things (IoT) Menggunakan Node-Red

Information systems in monitoring Internet of Things (IoT) devices in this advanced telecommunications world are very important, where we can see in real-time the data displayed by the device. This is very useful in improving the performance and efficiency of the development party. The use of this technology makes it easier to anticipate error that occurs to system Internet of Things (IoT) devices. By being displayed using a dashboard, it makes it easier for users to read data provided by the Internet of Things devices. In this study, the author develops a Dashboard information system for the Internet of Things Device system. Data from the system will be sent to a database which will then be displayed using the Node-Red tools. This tool is a middleware that connects the Internet of Things (IoT) devices with a database, the results of reading the Internet of Things system will be stored in the database and the results can be seen through the Dashboard in real-time. The result of the measurement if it exceeds the standard limit that has been determined, will give an alert in the form of a notification in the Email