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_aSmart edge computing : _ban operation research perspective / _cedited by Rajdeep Chakraborty, Anupam Ghosh, Jyotsna Kumar Mandal, Tanupriya Choudhury, Prasenjit Chatterjee. |
| 264 | 1 |
_aLondon, UK : _bISTE, Ltd. ; _aHoboken, NJ : _bWiley, _c2024. |
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| 300 | _a1 online resource (272 pages) | ||
| 336 |
_atext _btxt _2rdacontent. |
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| 490 | 1 |
_aComputer engineering series. International perspectives in decision analysis and operations research set ; _vvolume 2. |
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| 505 | 0 | _aPreface xiii Rajdeep CHAKRABORTY -- Acknowledgments -- Chapter 1 Introduction to Operations Research Methodologies 1 Trishit BANERJEE and Arup DASGUPTA -- 1.1 Introduction -- 1.2 Decision-making framework/models for operations research -- 1.3 Operations research in IoT, IIoT, edge and smart edge computing, sensor data -- 1.4 Paradigms and procedures -- 1.5 Conclusion -- 1.6 References -- Chapter 2 Edge Computing: The Foundation, Emergence and Growing Applications 25 P.K PAUL -- 2.1 Introduction -- 2.2 Objective of the work -- 2.3 Methods adopted -- 2.4 Edge computing and edge cloud: basics -- 2.5 Edge computing and edge devices -- 2.6 Edge computing: working fashions, buying and deploying and 5G -- 2.7 Functions and features of edge computing -- 2.8 Edge computing: applications and examples -- 2.9 Drawbacks, obstacles and issues in edge computing -- 2.10 Edge computing, cloud computing and Internet of Things: some concerns -- 2.11 Future and emergence of edge computing -- 2.12 Conclusion -- 2.13 Acknowledgment -- 2.14 References -- Chapter 3 Utilization of Edge Computing in Digital Education: A Conceptual Overview 47 Ritam CHATTERJEE -- 3.1 Introduction -- 3.2 Objectives -- 3.3 Methodology used -- 3.4 Digital education -- 3.5 Education and information science -- 3.6 Edge computing -- 3.7 Conclusion -- 3.8 Acknowledgment -- 3.9 References -- Chapter 4 Edge Computing with Operations Research Using IoT Devices in Healthcare: Concepts, Tools, Techniques and Use Cases 65 Shalini RAMANATHAN, Mohan RAMASUNDARAM, Tauheed KHAN MOHD and Anabel PINEDA-BRISENO -- 4.1 Overview -- 4.2 The smartness of edge across artificial intelligence with the IoT -- 4.3 Promising approaches in edge healthcare system -- 4.4 Impact of smartphones on edge computing -- 4.5 Tools, techniques and use cases -- 4.6 Significant forthcomings of edge healthcare IoT -- 4.7 Software and hardware companies developing healthcare tools -- 4.8 Summary -- 4.9 References -- Chapter 5 Performance Measures in Edge Computing Using the Queuing Model 97 Shillpi MISHRRA -- 5.1 Introduction -- 5.2 Methodology -- 5.3 Conclusion -- 5.4 Future scope -- 5.5 References -- Chapter 6 A Smart Payment Transaction Procedure by Smart Edge Computing 113 Animesh UPADHYAYA, Koushik MUKHOPADHYAY, Amejul ISLAM, Shaon Kalyan MODAK and Debdutta PAL -- 6.1 Introduction -- 6.2 Related works -- 6.3 Ethereum -- 6.4 Ethereum's components -- 6.5 General-purpose blockchains to decentralized applications (DApps) -- 6.6 Ether currency units -- 6.7 Ethereum wallet -- 6.8 A simple contract: a test Ether faucet -- 6.9 Ethereum clients -- 6.10 Conclusion -- 6.11 References -- Chapter 7 Statistical Learning Approach for the Detection of Abnormalities in Cancer Cells for Finding Indication of Metastasis 133 Soumen SANTRA, Dipankar MAJUMDAR and Surajit MANDAL -- 7.1 Introduction -- 7.2 Edge computation: a new era -- 7.3 Impact of edge computation in cancer treatment -- 7.4 Assessment parameters operational methodologies -- 7.5 Shape descriptor analysis: statistical approach -- 7.6 Results and discussion -- 7.7 Conclusion -- 7.8 References -- Chapter 8 Overcoming the Stigma of Alzheimer's Disease by Means of Natural Language Processing as well as Blockchain Technologies 149 Kaveri BANERJEE, Priyanka BHATTACHARYA, Sandip ROY and Rajesh BOSE -- 8.1 Introduction -- 8.2 Alzheimer's disease -- 8.3 Alzheimer's disease types -- 8.4 NLP in chat-bots/AI companions -- 8.5 Proposed methodologies for reduction of stigma -- 8.6 Blockchain technology for securing all medical data -- 8.7 Conclusion -- 8.8 Future scope -- 8.9 Acknowledgments -- 8.10 References -- Chapter 9 Computer Vision-based Edge Computing System to Detect Health Informatics for Oral Pre-Cancer 175 Animesh UPADHYAYA, Vertika RAI, Surajit BOSE, Dipankar BHATTACHARYA and Jayanta CHATTOPADHYAY -- 9.1 Introduction -- 9.2 Related works -- 9.3 Materials and methods -- 9.4 Results -- 9.5 Conclusion -- 9.6 References -- Chapter 10 A Study of Ultra-lightweight Ciphers and Security Protocol for Edge Computing 189 Debasmita PAUL, Aheli ACHARYA and Debajyoti GUHA -- 10.1 Introduction -- 10.2 Ultra-lightweight ciphers -- 10.3 Ultra-lightweight security protocols -- 10.3.4 Comparison between LEAP, MIFARE and RFB protocols -- 10.4 Conclusion -- 10.5 References -- Chapter 11 A Study on Security Protocols, Threats and Probable Solutions for Internet of Things Using Blockchain 215 Debajyoti GUHA -- 11.1 Introduction -- 11.2 IoT architecture and security challenges -- 11.3 Security threat classifications -- 11.4 Security solutions for IoT -- 11.5 Blockchain-based IoT paradigm: security and privacy issues -- 11.6 IoT Messaging Protocols -- 11.7 Advantages of edge computing -- 11.8 Conclusion -- 11.9 References -- List of Authors -- Index. | |
| 520 | _aThis book pioneers the synergy between state-of-the-art edge computing technologies and the power of operations research. It comprehensively explores real-world applications, demonstrating how various operations' research techniques enhance edge computing's efficiency, reliability and resource allocation. Innovative solutions for dynamic task scheduling, load balancing and data management, all tailored to the unique challenges of edge environments, are displayed. Starting with operation research methodologies with foundations, applications and research challenges in edge computing and an overview of digital education, this book continues with an exploration of applications in the health sector using IoT, intelligent payment procedures and performance measurement of edge computing, using edge computing and operation research. Smart or AI-based applications are also explored further on and the book ends with insight into ultralightweight and security protocols with solutions for IoT using blockchain. | ||
| 545 | 0 | _aAbout the Author Rajdeep Chakraborty is Associate Professor in Computer Science and Engineering at the University Institute of Engineering, Chandigarh University, India. Anupam Ghosh is Professor of Computer Science and Engineering at Netaji Subhash Engineering College in Kolkata, India, and is Head of the same department. Jyotsna Kumar Mandal is Professor of Computer Science and Engineering at the University of Kalyani, India. Tanupriya Choudhury is Professor at Symbiosis Institute of Technology, Lavale Campus of Symbiosis International University in Pune, India. Prasenjit Chatterjee is Professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKV Institute of Engineering, India. | |
| 650 | 0 |
_aEdge computing. _0https://id.loc.gov/authorities/subjects/sh2020005575. |
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| 650 | 0 |
_aArtificial intelligence. _0https://id.loc.gov/authorities/subjects/sh85008180. |
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| 655 | 4 | _aElectronic books. | |
| 700 | 1 |
_aChakraborty, Rajdeep, _0https://id.loc.gov/authorities/names/n2022027150 _eeditor. |
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| 700 | 1 |
_aGhosh, Anupam, _eeditor. |
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| 700 | 1 |
_aMandal, Jyotsna Kumar, _d1960- _0https://id.loc.gov/authorities/names/n2016003371 _eeditor. |
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| 700 | 1 |
_aChoudhury, Tanupriya, _0https://id.loc.gov/authorities/names/no2020083163 _eeditor. |
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| 700 | 1 |
_aChatterjee, Prasenjit, _eeditor. |
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| 830 | 0 |
_aComputer engineering series. International perspectives in decision analysis and operations research set ; _vvolume 2. |
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| 856 |
_uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781394277599 _yFull text is available at Wiley Online Library Click here to view |
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