Low power wide area network (LPWAN) is a promising solution for long range and low power Internet of Things (Io T) and machine to machine (M2M) communication applications. The LPWANs are resource-constrained networks and have critical requirements for long battery life, extended coverage, high scalability, and low device and deployment costs. There are several design and deployment challenges such as media access control, spectrum management, link optimization and adaptability, energy harvesting, duty cycle restrictions, coexistence and interference, interoperability and heterogeneity, security and privacy, and others.LPWAN Technologies for Io T and M2M Applications is intended to provide a one-stop solution for study of LPWAN technologies as it covers a broad range of topics and multidisciplinary aspects of LPWAN and Io T. Primarily, the book focuses on design requirements and constraints, channel access, spectrum management, coexistence and interference issues, energy efficiency, technology candidates, use cases of different applications in smart city, healthcare, and transportation systems, security issues, hardware/software platforms, challenges, and future directions. – One stop guide to the technical details of various low power long range technologies such as Lo Ra WAN, Sigfox, NB-Io T, LTE-M and others- Describes the design aspects, network architectures, security issues and challenges- Discusses the performance, interference, coexistence issues and energy optimization techniques- Includes LPWAN based intelligent applications in diverse areas such as smart city, traffic management, health and others- Presents the different hardware and software platforms for LPWANs- Provides guidance on selecting the right technology for an application
Bharat S Chaudhari & Marco Zennaro
LPWAN Technologies for IoT and M2M Applications [EPUB ebook]
LPWAN Technologies for IoT and M2M Applications [EPUB ebook]
قم بشراء هذا الكتاب الإلكتروني واحصل على كتاب آخر مجانًا!
لغة الإنجليزية ● شكل EPUB ● ISBN 9780128188811 ● محرر Bharat S Chaudhari & Marco Zennaro ● الناشر Elsevier Science ● نشرت 2020 ● للتحميل 3 مرات ● دقة EUR ● هوية شخصية 7161200 ● حماية النسخ Adobe DRM
يتطلب قارئ الكتاب الاليكتروني قادرة DRM