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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)
現今，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互相連接。為了使這些物聯網（IoT）設備能夠無縫運作，無線感測網絡（WSN）需要具備強大的能力，以支持大量數據的信息交換、資源優化和能源效率。本書提供了有關新通信場景中的物聯網和無線感測網絡的深入信息，以實現節能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的整合如何實現感測器節點和無線終端之間的高效通信流程，並介紹了機器學習（ML）、人工智能（AI）、深度學習（DL）和區塊鏈技術在智能網絡中的應用。本書展示了技術進步如何有助於涉及大量設備的實時應用，並討論了網絡如何承載大量數據，實現信息在互聯網上的傳遞。本書還突出了涉及連接車輛和路邊單元的智能交通，展示了通過物聯網和無線感測網絡的智能整合創造的現實是可能的。書中還討論了融合在智慧醫療中的應用，只有通過設備的智能連接，才能實現遠程醫療或遠程手術應用中的患者治療或監測。本書還探討了通過資源控制機制實現節能通信，從而實現可持續發展。
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、智慧家居和智能數據處理。它針對學者、研究人員、高級學生和工程師，對於物聯網和無線感測網絡在智慧城市中的各種應用的進展感興趣。
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正在從2022年7月開始在英國曼徹斯特都會大學進行博士後研究。她是印度旁遮普邦Rajpura的Chitkara大學工程與技術學院的教授，擁有18年以上的教學經驗。她於2004年獲得Maharishi Dyanand大學的MCA學位，並於2007年獲得Janardan Rai Nagar Vidyapeeth大學的計算機科學碩士學位，以及2017年在旁遮普技術大學獲得計算機應用博士學位。Rani博士在國際期刊/會議（SCI+Scopus）上發表/接受/發表了100多篇論文，並與國際出版商合作編輯/撰寫了五本書籍。她的研究方向包括大數據、水下聲學傳感器和物聯網，以展示無線傳感器網絡在物聯網應用中的重要性。她於2014年2月獲得了旁遮普科學大會的青年科學家獎，並於2021年獲得了終身成就獎和全球創新與卓越的年度指導者獎。她的主要研究領域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是印度旁遮普邦的Chitkara大學研究和創新網絡（CURIN）的副教授。她擁有電子與通信工程的博士學位，並有12年的行業、教學、教育和研究經驗。她於2011年獲得Thapar大學的工程碩士學位，並於2008年獲得Kurukshetra大學的技術學士學位。她在國際期刊/會議（SCI+Scopus）上發表了50多篇論文，並申請了20多項專利。她還擔任了IEEE、Springer、Elsevier、IET、Hindawi和Wiley等多個知名期刊的審稿人。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。
