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商品描述
Nowadays, all of us are connected through a large number of sensor nodes, smart devices, and wireless terminals. For these Internet of Things (IoT) devices to operate seamlessly, the Wireless Sensor Network (WSN) needs to be robust to support huge volumes of data for information exchange, resource optimization, and energy efficiency. This book provides in-depth information about the emerging paradigms of IoT and WSN in new communication scenarios for energy-efficient and reliable information exchange between a large number of sensor nodes and applications.
WSN and IoT: An Integrated Approach for Smart Applications discusses how the integration of IoT and WSN enables an efficient communication flow between sensor nodes and wireless terminals and covers the role of machine learning (ML), artificial intelligence (AI), deep learning (DL), and blockchain technologies which give way to intelligent networks. This book presents how technological advancement is beneficial for real-time applications involving a massive number of devices and discusses how the network carries huge amounts of data allowing information to be communicated over the Internet. Intelligent transportation involving connected vehicles and roadside units is highlighted to show how a reality created through the intelligent integration of IoT and WSN is possible. Convergence is discussed and its use in smart healthcare, where only through the intelligent connection of devices can patients be treated or monitored remotely for telemedicine or telesurgery applications. This book also looks at how sustainable development is achieved by the resource control mechanism enabling energy-efficient communication.
A wide range of communication paradigms related to smart cities, which includes smart healthcare, smart transportation, smart homes, and intelligent data processing, are covered in the book. It is aimed at academicians, researchers, advanced-level students, and engineers who are interested in the advancements of IoT and WSN for various applications in smart cities.
商品描述(中文翻譯)
如今，我們所有人都透過大量的感測器節點、智慧裝置和無線終端相互連接。為了讓這些物聯網 (IoT) 裝置無縫運作，無線感測器網路 (WSN) 需要具備穩健性，以支持大量數據的交換、資源優化和能源效率。本書提供有關 IoT 和 WSN 在新通信場景中出現的範式的深入資訊，旨在實現大量感測器節點與應用之間的能源高效和可靠的信息交換。
《WSN 和 IoT：智慧應用的整合方法》討論了 IoT 和 WSN 的整合如何促進感測器節點與無線終端之間的高效通信流，並涵蓋了機器學習 (ML)、人工智慧 (AI)、深度學習 (DL) 和區塊鏈技術在智能網路中的角色。本書展示了技術進步如何有利於涉及大量裝置的即時應用，並討論了網路如何承載大量數據，使信息能夠透過互聯網進行傳遞。書中強調了智能交通系統，包括連接的車輛和路邊單元，展示了透過 IoT 和 WSN 的智能整合所創造的現實是如何成為可能的。書中還討論了融合的概念及其在智慧醫療中的應用，只有透過設備的智能連接，才能對患者進行遠程治療或監測，以應用於遠程醫療或遠程手術。本書還探討了如何通過資源控制機制實現可持續發展，從而實現能源高效的通信。
本書涵蓋了與智慧城市相關的各種通信範式，包括智慧醫療、智慧交通、智慧家庭和智能數據處理。其目標讀者為學術界人士、研究人員、高級學生和對 IoT 和 WSN 在智慧城市各種應用中的進展感興趣的工程師。
作者簡介
Dr. Shalli Rani is pursuing a postdoctoral from Manchester Metropolitan University, UK from July 2022. She is a Professor at Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India. She has 18+ years of teaching experience. She received an MCA degree from Maharishi Dyanand University, Rohtak in 2004 and an M. Tech. degree in Computer Science from Janardan Rai Nagar Vidyapeeth University, Udaipur in 2007 and a Ph.D. in Computer Applications from Punjab Technical University, Jalandhar in 2017. Dr. Rani has published/accepted/presented more than 100+ papers in international journals /conferences (SCI+Scopus) and edited/authored five books with international publishers. She has worked on Big Data, Underwater Acoustic Sensors, and IoT to show the importance of WSN in IoT applications and has received a Young Scientist award in Feb. 2014 from the Punjab Science Congress, a Lifetime Achievement Award, and a Supervisor of the Year award from Global Innovation and Excellence, in 2021. Her main areas of interest and research are Wireless Sensor Networks, Underwater Sensor networks, Machine Learning, and the Internet of Things.
Dr. Ashu Taneja is an associate professor at Chitkara University Research and Innovation Network (CURIN), Chitkara University, Punjab, India. She has a PhD in Electronics and Communication Engineering with an experience of 12 years serving industry, teaching, education and research. She received Masters of Engineering (M.E.) from Thapar University, Patiala, Punjab in 2011 and Bachelors of Technology (B.Tech) from Kurukshetra University, Haryana, in 2008. She has 50+ publications in international journals /conferences (SCI + SCOPUS). She has filed more than 20 patents. She has also served as reviewer in many repudiated journals of IEEE, Springer, Elsevier, IET, Hindawi and Wiley. Her research interests include Next Generation Wireless Networks, IoT, 5G, 6G, Energy Harvesting, User Selection, Antenna Selection, Intelligent Reflecting Surfaces, and Vehicular communication.
作者簡介(中文翻譯)
Dr. Shalli Rani 目前正在英國曼徹斯特城市大學進行博士後研究，自2022年7月開始。她是印度旁遮普州拉吉普拉的 Chitkara 大學工程與技術學院的教授，擁有超過18年的教學經驗。她於2004年在羅塔克的 Maharishi Dyanand 大學獲得 MCA 學位，並於2007年在烏代布爾的 Janardan Rai Nagar Vidyapeeth 大學獲得計算機科學的碩士學位（M. Tech.），以及於2017年在賈蘭達爾的旁遮普技術大學獲得計算機應用的博士學位（Ph.D.）。Dr. Rani 在國際期刊和會議（SCI+Scopus）上發表、接受或展示了超過100篇論文，並與國際出版商編輯或撰寫了五本書籍。她曾在大數據、水下聲學傳感器和物聯網（IoT）方面工作，以展示無線傳感器網絡（WSN）在物聯網應用中的重要性，並於2014年2月獲得旁遮普科學大會的青年科學家獎，2021年獲得終身成就獎和年度導師獎，均來自全球創新與卓越組織。她的主要研究興趣包括無線傳感器網絡、水下傳感器網絡、機器學習和物聯網。
Dr. Ashu Taneja 是印度旁遮普州 Chitkara 大學研究與創新網絡（CURIN）的副教授。她擁有電子與通信工程的博士學位，並在工業、教學、教育和研究方面擁有12年的經驗。她於2011年在旁遮普的 Thapar 大學獲得工程碩士學位（M.E.），並於2008年在哈里亞納的庫魯克舍特拉大學獲得技術學士學位（B.Tech）。她在國際期刊和會議（SCI + SCOPUS）上發表了超過50篇論文，並申請了超過20項專利。她還曾擔任多個知名期刊的審稿人，包括 IEEE、Springer、Elsevier、IET、Hindawi 和 Wiley。她的研究興趣包括下一代無線網絡、物聯網、5G、6G、能量收集、用戶選擇、天線選擇、智能反射表面和車輛通信。
