Contiki Operating System For Embedded Iot
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Contiki Operating System for Embedded IoT
"Contiki Operating System for Embedded IoT" "Contiki Operating System for Embedded IoT" is an authoritative guide for developers, engineers, and researchers building innovative solutions for the Internet of Things on constrained embedded platforms. This comprehensive volume explores Contiki’s historical evolution, microkernel architecture, and energy-aware design philosophies, unpacking how these features underpin scalable and robust IoT deployments. The book delves into lightweight concurrency with protothreads, efficient memory management in limited environments, and platform portability—laying the groundwork for understanding Contiki’s flexibility and longevity in rapidly changing IoT landscapes. Beyond the core system, the text offers an in-depth survey of the development ecosystem: from build environments and modular code management to state-of-the-art simulation, robust deployment pipelines, and modern debugging practices. Readers will acquire practical knowledge of Contiki’s networking capabilities, including 6LoWPAN, RPL, and application-layer protocols for reliable, low-power communication. Dedicated chapters reveal how to interface with a multitude of sensors, actuators, and peripherals, while emphasizing power efficiency, real-time performance, and system security through cryptographic primitives, secure boot, and defense against emerging IoT threats. Augmenting the theoretical foundation with real-world deployments and advanced use cases, this book provides essential insight into industrial monitoring, smart environments, connected healthcare, and more. Forward-looking sections discuss Contiki-NG, edge AI, and integration with cloud and edge computing, guiding practitioners through future trends and ongoing research challenges. With practical case studies, code optimization techniques, and strategic perspectives on secure and scalable IoT operations, this book is an indispensable resource for mastering Contiki in today’s connected world.
Implementing ML in IoT Environments
Author: Prof. (Dr.) Geetika Mathur
language: en
Publisher: Shineeks Publishers
Release Date: 2025-02-21
“Implement ML in IoT Environments” explores the relationship between Machine Learning and the Internet of Things in details. It’s an all-inclusive discussion of both theoretical and practical aspects with the essentials of the book making it a necessary acquisition for practitioners and students in IoT, AI, and data science fields. IoT Introduction: The very first stage contains IoT in which there is a discussion about the basic concepts, significant making blocks, and real-world applications. This would include the entire interlinked world where all devices talk to one another via data exchange and form smart environments across the industry representative. IoT Hardware and Software: The hardware and software in IoT systems are all explored in relation to their operation within the system. Sensors, actuators, communication protocols, and edge computing as well as other technologies are explored as enabling factors in IoT applications. In addition, software architectures and platforms for IoT development would also be described while emphasizing the inclusion of machine learning to enhance differents functions in IoT applications. Architecture and Reference Models in IoT: It covers the complete information regarding the architectural frameworks and reference models used in IoT. Models such as the IoT reference model and the three-layer model are mentioned in this book-an explanation on how data is processed, stored, and transferred. The book also discusses issues on scalability that affect IoT systems leaving behind the picture of what an effective, secure architecture would demand. It introduces the concept of precision agriculture that IoT and machine learning help to develop what you call “agricultural practices.” The book discusses how monitoring and analysis of data through IoT sensors plus application of data analytics and ML algorithms can increase the efficiency of crop production, resource management, and overall farm productivity. The bringing in of IoT into precision agriculture is hailed as a game-changer to sustainable agricultural practice. Introduction to the Smart Health Monitoring System: The last section concerns smart health monitoring; thus, using IoT equipped with machine learning algorithms to continue real-time tracking and analysis of health data. Various health monitoring systems would be developed where scientists rely on IoT and collection of vital signs through wearables as well as analysis on how health conditions can be predicted using models of machine learning contributing to personalized care and early diagnosis. Finally, the book raises a point that using IoT and machine learning together will be a strong tool of transformation in the future, giving a small view on trends and advancements of smart environments. Thus, this reference work will go on to provide the complexity and its application in IoT systems-from precision agriculture to health monitoring.
The Seventh International Conference on Safety and Security with IoT
This book presents the Fifth International Conference on Safety and Security with IoT (SaSeIoT 2023), which took place Bratislava, Slovakia, October 24-26, 2023. The conference aims to explore not only IoT and its related critical applications but also IoT towards Security and Safety. The conference solicits original and inspiring research contributions from experts, researchers, designers, and practitioners in academia, industry and related fields and provides a common platform to share knowledge, experience and best practices in various domains of IoT.