Lora Localization: System Design and Performance Analysis

Shi, Zhiguo, Gu, Chaojie, He, Shibo

Lora Localization: System Design and Performance Analysis
  • 出版商: Springer
  • 出版日期: 2024-07-15
  • 售價: $2,280
  • 貴賓價: 9.5 折 $2,166
  • 語言: 英文
  • 頁數: 97
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031480104
  • ISBN-13: 9783031480102

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book delves deep into the world of low-power Internet of Things (IoT) node positioning, in an era where IoT is revolutionizing connectivity and communication. It focuses on the critical aspect of accurate node positioning, which has transformative potential across various industrial applications. Specifically, this book explores how LoRa (Long Range) technology, known for its long-range wireless capabilities, low power consumption and cost-effectiveness. It can be harnessed to achieve precise and efficient node localization in both indoor and outdoor environments.

In Chapter 1, readers are introduced to the landscape of low-power IoT, providing background information, discussing network architecture and exploring the research landscape surrounding node positioning. Chapter 2 presents a modular hardware platform tailored for IoT applications and delves into wireless positioning techniques. Chapter 3 takes readers on a journey through wide area location using signal flight time and optimization techniques, emphasizing high accuracy, while keeping power consumption low. Chapter 4 showcases a cost-effective LoRa Mesh networking-based positioning system with wide-area coverage capabilities. This book continues by addressing the intricacies of indoor positioning challenges in Chapter 5, leveraging signal arrival angles and antenna array structures for precise localization. Chapter 6 explores fusion localization and tracking through mobile robots, enhancing position estimation and trajectory tracking in diverse environments. Finally, Chapter 7 offers a comprehensive conclusion, summarizing key insights and proposing future research directions in LoRa's fusion positioning for both indoor and outdoor scenarios.

This book is designed for researchers, engineers, and practitioners keen on unlocking the potential of low-power IoT node positioning and contributing to the advancement of IoT technologies. Advanced level students in computer science and electrical engineering interested in this topic will find this book useful as well.


商品描述(中文翻譯)

本書深入探討低功耗物聯網（IoT）節點定位的世界，正值物聯網正在革新連接與通訊的時代。它專注於準確節點定位的關鍵面向，這在各種工業應用中具有變革潛力。具體而言，本書探討了LoRa（長距離）技術，該技術以其長距離無線能力、低功耗和成本效益而聞名。它可以被利用來實現室內和室外環境中的精確和高效的節點定位。

在第一章中，讀者將了解低功耗物聯網的全景，提供背景資訊，討論網路架構，並探索圍繞節點定位的研究現狀。第二章介紹了一個為物聯網應用量身定制的模組化硬體平台，並深入探討無線定位技術。第三章帶領讀者通過信號飛行時間和優化技術進行廣域定位之旅，強調高精度，同時保持低功耗。第四章展示了一個基於LoRa Mesh網路的成本效益高的定位系統，具備廣域覆蓋能力。本書接著在第五章中探討室內定位挑戰的複雜性，利用信號到達角和天線陣列結構進行精確定位。第六章探討通過移動機器人的融合定位和追蹤，增強在多樣環境中的位置估計和軌跡追蹤。最後，第七章提供了全面的結論，總結關鍵見解並提出LoRa融合定位在室內和室外場景中的未來研究方向。

本書旨在為研究人員、工程師和實務工作者提供幫助，讓他們能夠發掘低功耗物聯網節點定位的潛力，並為物聯網技術的進步做出貢獻。對於對此主題感興趣的計算機科學和電機工程的高級學生，本書也將是有用的資源。

作者簡介

Zhiguo Shi received the B.S. and Ph.D. degrees in electronic engineering from Zhejiang University, Hangzhou, China, in 2001 and 2006, respectively. Since 2006, he has been a faculty member with the College of Information Science and Electronic Engineering, Zhejiang University, where he is currently a full professor. From 2011 to 2013, he was visiting the Broadband Communications Research Group, University of Waterloo, Waterloo, ON, Canada. His current research interests include array signal processing, target tracking and positioning, IoT system design, and anti-drone system technic and system. He has more than 100 issued patents. He is serving/served as an AE of IEEE Signal Processing Letters, IEEE Transactions on Vehicular Technology, IEEE Network, IET Communications, and Journal of The Franklin Institute. He served as the general co-chair of IEEE SAM 2020, and will serve as the TPC co-chair of IEEE/CIC ICCC 2024

Chaojie Gu received the B.Eng.degree from Harbin Institute of Technology, China, in 2016, and the Ph.D. degree in computer science and engineering from Nanyang Technological University, Singapore, in 2020. He was a Research Fellow with Singtel Cognitive and Artificial Intelligence Lab for Enterprise (SCALE) in 2021. He is an Assistant Professor with the College of Control Science and Engineering, Zhejiang University, Hangzhou, China. His research interests include IoT, industrial IoT, edge computing, and low power wide area network.

Shibo He received the Ph.D. degree in control science and engineering from Zhejiang University, Hangzhou, China, in 2012. He is currently a Professor with Zhejiang University. He was an Associate Research Scientist in 2014 for two months and a Post-Doctoral Scholar from 2012 to 2014 with Arizona State University, Tempe, AZ, USA. From 2010 to 2011, he was a Visiting Scholar with the University of Waterloo, Waterloo, ON, Canada. His current researchinterests include wireless sensor networks, crowdsensing, and big data analysis. Dr. He serves on the Editorial Board of the IEEE Transactions on Vehicular Technology, Springer's Peer-to-Peer Networking and Application and KSII Transactions on Internet and Information Systems. He has been a Guest Editor of Elsevier's Computer Communications and Hinda WI's International Journal of Distributed Sensor Networks.

Kang Hu received the B.Sc. degree from the School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan, China, in 2017, and the Ph.D. degree from Zhejiang University, Hangzhou, China, in 2022. He is currently working for the IoT department of Alibaba. His research interests include low-power wide-area networks and localization.

作者簡介(中文翻譯)

Zhiguo Shi於2001年和2006年分別獲得中國杭州浙江大學電子工程學士和博士學位。自2006年以來，他一直是浙江大學資訊科學與電子工程學院的教職員，目前擔任正教授。2011年至2013年，他曾在加拿大安大略省滑鐵盧大學的寬頻通信研究小組進行訪問研究。他目前的研究興趣包括陣列信號處理、目標追蹤與定位、物聯網系統設計以及反無人機系統技術與系統。他擁有超過100項已授權專利。他擔任或曾擔任IEEE Signal Processing Letters、IEEE Transactions on Vehicular Technology、IEEE Network、IET Communications及Journal of The Franklin Institute的副編輯。他曾擔任IEEE SAM 2020的共同主席，並將擔任IEEE/CIC ICCC 2024的TPC共同主席。

Chaojie Gu於2016年獲得中國哈爾濱工業大學的工程學士學位，並於2020年獲得新加坡南洋理工大學計算機科學與工程博士學位。他於2021年擔任新加坡Singtel Cognitive and Artificial Intelligence Lab for Enterprise (SCALE)的研究員。他是中國杭州浙江大學控制科學與工程學院的助理教授。他的研究興趣包括物聯網、工業物聯網、邊緣計算和低功耗廣域網。

Shibo He於2012年獲得中國杭州浙江大學控制科學與工程博士學位。他目前是浙江大學的教授。他於2014年擔任亞利桑那州立大學的副研究科學家兩個月，並於2012年至2014年擔任該校的博士後研究學者。2010年至2011年，他曾是加拿大安大略省滑鐵盧大學的訪問學者。他目前的研究興趣包括無線感測網絡、群眾感測和大數據分析。He博士擔任IEEE Transactions on Vehicular Technology、Springer的Peer-to-Peer Networking and Application及KSII Transactions on Internet and Information Systems的編輯委員會成員。他曾擔任Elsevier的Computer Communications及Hinda WI的International Journal of Distributed Sensor Networks的客座編輯。

Kang Hu於2017年獲得中國地質大學（武漢）機械工程與電子信息學院的理學士學位，並於2022年獲得中國杭州浙江大學的博士學位。他目前在阿里巴巴的物聯網部門工作。他的研究興趣包括低功耗廣域網和定位技術。

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