
LPWAN Technologies for IoT and M2M Applications
- 456 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
LPWAN Technologies for IoT and M2M Applications
About this book
Low power wide area network (LPWAN) is a promising solution for long range and low power Internet of Things (IoT) 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 IoT 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 IoT. 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 LoRaWAN, Sigfox, NB-IoT, 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
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Information
Introduction to low-power wide-area networks
Abstract
Keywords
1.1 Introduction
1.2 Intelligent applications and services
| Field | Major applications | |
|---|---|---|
| Smart cities | ![]() | Smart parking, structural health of the buildings, bridges and historical monuments, air quality measurement, sound noise level measurement, traffic congestion and traffic light control, road toll control, smart lighting, trash collection optimization, waste management, utility meters, fire detection, elevator monitoring and control, manhole cover monitoring, construction equipment and labor health monitoring, environment and public safety |
| Smart environment | ![]() | Water quality, air pollution, temperature, forest fire, landslide, animal tracking, snow level monitoring, and earthquake early detection |
| Smart water | ![]() | Water quality, water leakage, river flood monitoring, swimming pool management, and chemical leakage |
| Smart... | ||
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- About the editors
- Preface
- 1. Introduction to low-power wide-area networks
- 2. Design considerations and network architectures for low-power wide-area networks
- 3. LoRaWAN protocol: specifications, security, and capabilities
- 4. Radio channel access challenges in LoRa low-power wide-area networks
- 5. An introduction to Sigfox radio system
- 6. NB-IoT: concepts, applications, and deployment challenges
- 7. Long-term evolution for machines (LTE-M)
- 8. TV white spaces for low-power wide-area networks
- 9. Performance of LoRa technology: link-level and cell-level performance
- 10. Energy optimization in low-power wide area networks by using heuristic techniques
- 11. Energy harvesting–enabled relaying networks
- 12. Energy-efficient paging in cellular Internet of things networks
- 13. Guidelines and criteria for selecting the optimal low-power wide-area network technology
- 14. Internet of wearable low-power wide-area network devices for health self-monitoring
- 15. LoRaWAN for smart cities: experimental study in a campus deployment
- 16. Exploiting LoRa, edge, and fog computing for traffic monitoring in smart cities
- 17. Security in low-power wide-area networks: state-of-the-art and development toward the 5G
- 18. Hardware and software platforms for low-power wide-area networks
- Index


