| Description |
1 online resource : illustrations (some color) |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
1 Analysis and Clustering of Sensor Recorded Data to Determine Sensors Consuming the Least Energy Prashant Abbi, Khushi Arora, Praveen Kumar Gupta, K.B. Ashwini, V. Chayapathy, and M.J. Vidya -- 1.1 Importance of Low Energy Consumption Sensors -- 1.2 Methodology: Clustering Using K Means and Classification Using KNN -- 1.3 Objective Realization and Result of Analysis -- 1.4 Introduction -- 1.5 Working of WSNs and Sensor Nodes -- 1.6 Classification of WSNs -- 1.6.1 Benefits and Drawbacks of Centralized Techniques -- 1.6.2 Benefits and Drawbacks of Distributed Techniques -- 1.7 Security Issues -- 1.7.1 Layering of Level Based Security -- 1.8 Energy Consumption Issues -- 1.9 Commonly Used Standards and Protocols for WSNs -- 1.9.1 Slotted Protocols -- 1.9.1.1 Time Division Multiple Access -- 1.9.1.2 Zig Bee/801.15.4 -- 1.9.1.3 Sensor Medium Access Control -- 1.10 Effects of Temperature and Humidity on the Energy of WSNs -- 1.10.1 Effects of Temperature on Signal Strength -- 1.10.2 Effects of Humidity on Signal Strength -- 1.10.3 Temperature Vs. Humidity -- 1.11 Proposed Methodology -- 1.11.1 Information Gathering and Analysis -- 1.11.2 System Design and Implementation -- 1.11.3 Testing and Evaluation -- 1.12 Conclusion -- References -- 2 Impact of Artificial Intelligence in Designing of 5G K. Maheswari, Mohankumar, and Banuroopa -- 2.1 5G - An Introduction -- 2.1.1 Industry Applications -- 2.1.2 Healthcare -- 2.1.3 Retail -- 2.1.4 Agriculture -- 2.1.5 Manufacturing -- 2.1.6 Logistics -- 2.1.7 Sustainability of 5G Networks -- 2.1.8 Implementation of 5G -- 2.1.9 Architecture of 5G Technology -- 2.2 5G and AI -- 2.2.1 Gaming and Virtual Reality -- 2.3 AI and 5G -- 2.3.1 Continuous Learning AI Model -- 2.4 Challenges and Roadmap -- 2.4.1 Technical Issues -- 2.4.2 Technology Roadmap -- 2.4.3 Deployment Roadmap -- 2.5 Mathematical Models -- 2.5.1 The Insights of Mathematical Modeling in 5G Networks -- 2.6 Conclusion -- References -- 3 Sustainable Paradigm for Computing the Security of Wireless Internet of Things: Blockchain Technology Sana Zeba, Mohammed Amjad, and Danish Raza Rizvi -- 3.1 Introduction -- 3.2 Research Background -- 3.2.1 The Internet of Things -- 3.2.1.1 Security Requirements in Wireless IoT -- 3.2.1.2 Layered Architecture of Wireless IoT -- 3.2.2 Blockchain Technology -- 3.2.2.1 Types of Blockchain -- 3.2.2.2 Integration of Blockchain with Wireless Internet of Things -- 3.3 Related Work -- 3.3.1 Security Issues in Wireless IoT System -- 3.3.2 Solutions of Wireless IoT Security Problem -- 3.4 Research Methodology -- 3.5 Comparison of Various Existing Solutions -- 3.6 Discussion of Research Questions -- 3.7 Future Scope of Blockchain in IoT -- 3.8 Conclusion -- References -- 4 Cognitive IoT Based Health Monitoring Scheme Using Non-Orthogonal MultipleAccess Ashiqur Rahman Rahul, Saifur Rahman Sabuj, Majumder Fazle Haider, andShakil Ahmed -- 4.1 Introduction -- 4.2 Related Work -- 4.3 System Model and Implementation -- 4.3.1 Network Description -- 4.3.2 Sensing and Transmission Analysis -- 4.3.3 Pathloss Model -- 4.3.4 Mathematical Model Evaluation -- 4.3.4.1 Effectual Throughput -- 4.3.4.2 Interference Throughput -- 4.3.4.3 Energy Efficiency -- 4.3.4.4 Optimum Power -- 4.3.4.4.1 Optimum Power Derivation for HRC -- 4.2.3.4.2 Optimum Power Derivation for MRC -- 4.4 Simulation Results -- 4.5 Conclusion -- 4.A Appendices -- 4.A.1 Proof of Optimum Power Transmission for HRC Device at EffectualState (z = 0) -- 4.A.2 Proof of Optimum Power Transmission for HRC Device inInterference State (z = 1) -- 4.A.3 Proof of Optimum Power Transmission for MRC Device at EffectualState (z = 0) -- 4.A.4 Proof of Optimum Power Transmission for MRC Device inInterference State (z = 1) -- References -- 5 Overview of Resource Management for Wireless Adhoc Network Mehajabeen Fatima and Afreen Khueaheed -- 5.1 Introduction -- 5.1.1 Wired and Wireless Network Design Approach -- 5.1.2 History -- 5.1.3 Spectrum of Wireless Adhoc Network -- 5.1.4 Enabling and Networking Technologies -- 5.1.5 Taxonomy of Wireless Adhoc Network (WANET) -- 5.2 Mobile Adhoc Network (MANET) -- 5.2.1 Introduction to MANET -- 5.2.2 Common Characteristics of MANET -- 5.2.3 Advantages and Disadvantages -- 5.2.4 Applications of MANET -- 5.2.5 Major Issues of MANET -- 5.3 Vehicular Adhoc Network (VANET) -- 5.3.1 Introduction of VANET -- 5.3.2 Common Features of VANET -- 5.3.3 Pros, Cons, Applications -- 5.4 Wireless Mesh Network (WMN) -- 5.4.1 Preface of WMN -- 5.4.2 Common Traits of WMN -- 5.4.3 WMN Has Many Open Issues and Research Challenges -- 5.4.4 Performance Metrics -- 5.4.5 Advantages and Disadvantages -- 5.4.6 Prominent Areas and Challenges of WMN -- 5.5 Wireless Sensor Network (WSN) -- 5.5.1 Overview of WSN -- 5.5.2 Common Properties of WSN -- 5.5.3 Benefits, Harms, and Usage of WSN -- 5.6 Intelligent Management in WANET -- 5.6.1 Major Issues of WANET -- 5.6.2 Challenges of MAC Protocols -- 5.6.3 Routing Protocols -- 5.6.3.1 Challenges of Routing Protocols -- 5.6.3.1.1 Scalability -- 5.6.3.1.2 Quality of Service -- 5.6.3.1.3 Security -- 5.6.4 Energy and Battery Management -- 5.7 Future Research Directions -- 5.8 Conclusion -- References -- 6 Survey: Brain Tumor Detection Using MRI Image with Deep Learning Techniques Chalapathiraju Kanumuri and C.H. Renu Madhavi -- 6.1 Introduction -- 6.2 Background -- 6.2.1 Types of Medical Imaging -- 6.2.2 M. R. Imaging as a Modality -- 6.2.3 Types of Brain Tumor M. R. Imaging Modalities -- 6.2.4 Suitable Technologies Before Machine Learning -- 6.2.5 MRI Brain Image Segmentation -- 6.3 Related Work -- 6.4 Gaps and Observations -- 6.5 Suggestions -- 6.6 Conclusion -- References -- 7 Challenges, Standards, and Solutions for Secure and Intelligent 5G Internet of Things (IoT) Scenarios Ayasha Malik and Bharat Bhushan -- 7.1 Introduction -- 7.2 Safety in Wireless Networks: Since 1G to 4G -- 7.2.1 Safety in Non-IP Networks -- 7.2.2 Safety in 3G -- 7.2.3 Security in 4G -- 7.2.4 Security in 5G -- 7.2.4.1 Flashy System Traffic and Radio Visual Security Keys -- 7.2.4.2 Authorized Network Security and Compliance with Subscriber Level Safety Policies -- 7.2.5 Security in 5G and Beyond -- 7.3 IoT Background and Requirements -- 7.3.1 IoT and Its Characteristics -- 7.3.2 Characteristics of IoT Infrastructure -- 7.3.3 Characteristics of IoT Applications -- 7.3.4 Expected Benefits of IoT Adoption for Organization -- 7.3.4.1 Benefits Correlated to Big Data Created by IoT -- 7.3.4.2 Benefits Interrelated to the Openness of IoT -- 7.3.4.3 BenefitsRelated to the Linked Aspect6 of IoT -- 7.4 Non 5G Standards Supporting IoT -- 7.4.1 Bluetooth Low Energy -- 7.4.2 IEEE 802.15.4 -- 7.4.3 LoRa -- 7.4.4 Sigfox -- 7.4.5. |
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WiFi HaLow -- 7.5 5 G Advanced Security Model -- 7.5.1 Confidentiality -- 7.5.2 Integrity -- 7.5.3 Accessibility -- 7.5.4 Integrated Safety Rule -- 7.5.5 Visibility -- 7.6 Safety Challenges and Resolution of Three-Tiers Structure of 5G Networks -- 7.6.1 Heterogeneous Access Networks -- 7.6.1.1 Safety Challengers -- 7.6.1.2 Safety Resolutions -- 7.6.2 Backhaul Networks -- 7.6.2.1 Safety Challenges -- 7.6.2.2 Safety Resolutions -- 7.6.3 Core Network -- 7.6.3.1 Safety Challenges -- 7.6.3.2 Safety Resolutions -- 7.7 Conclusion and Future Research Directions -- References -- 8 Blockchain Assisted Secure Data Sharing in Intelligent Transportation Systems Gujkan Madaan, Avinash Kumar, and Bharat Bhushan -- 8.1 Introduction -- 8.2 Intelligent Transport System -- 8.2.1 ITS Overview -- 8.2.2 Issues in ITS -- 8.2.3 ITS Role in IoT -- 8.3 Blockchain Technology -- 8.3.1 Overview -- 8.3.2 Types of Blockchain -- 8.3.2.1 Public Blockchain -- 8.3.2.3 Private Blockchain -- 8.2.3.2 Federated Blockchain -- 8.3.3 Consensus Mechanism -- 8.3.3.1 Proof of Work -- 8.3.3.2 Proof of Stake -- 8.3.3.3 Delegated Proof of Stake -- 8.3.3.4 Practical Byzantine Fault Tolerance -- 8.3.3.5 Casper -- 8.3.3.6 Ripple -- 8.3.3.7 Proof of Activity -- 8.3.4 Cryptography -- 8.3.5 Data Management and Its Structure -- 8.4 Blockchain Assisted Intelligent Transportation System -- 8.4.1 Security and Privacy -- 8.4.2 Blockchain and Its Application foe Improving Security and Privacy -- 8.4.3 ITS Based on Blockchain -- 8.4.4 Recent Advancement -- 8.5 Future Research Perspectives -- 8.5.1 Electric Vehicle Recharging -- 8.5.2 Smart City Enabling and Smart Vehicle Security -- 8.5.3 Deferentially-Privacy Preserving Solutions -- 8.5.4 Distribution of Economic Profits and Incentives -- 8.6 Conclusion -- References -- 9 Utilization of Agro Waste for Energy Engineering Applications: Toward the Manufacturing of Batteries and Super Capacitors S.N. Kumar, S. Akhil, R.P. Nishita, O. Lijo Joseph, Aju Matthew George, and I Christina Jane -- 9.1 Introduction -- 9.2 Super Capacitors and Electrode Materials -- 9.2.1 Energy Density -- 9.3 Related Works in the Utilization of Agro Waste for Energy EngineeringApplications -- 9.4 Inferences from Work Related with Utilization of Coconut. Rice Husk, andPineapple Waste for Fabrication of Super Capacitor -- 9.5 Factors Contributing in the Fabrication of Super Capacitor from Agro Waste -- 9.6 Conclusion -- Acknowledgment -- References -- 10 Computational Intelligence Techiques for Optimization in Networks Ashu Gautam and Rashima Mahajan -- 10.1 Introduction Focussing on Pedagogy of Impending Approach -- 10.1.1 Security Challenge in Networks -- 10.1.2 Attacks Vulnerability in Complex Networks -- 10.2 Relevant Analysis -- 10.3 Broad Area of Research -- 10.3.1 Routing Protocols -- 10.3.2 Hybrid Protocols -- 10.4 Problem Identification -- 10.5 Objectives of the Study -- 10.6 Methodology to be Adopted -- 10.7 Proposed/Expected Outcome of the Research -- References -- 11 R&D Export and ICT Regimes in India Zeba -- 11.1 Introduction -- 11.2 Artificial Intelligence: the ... |
| Summary |
"The book will focus on making the environment sustainable in the current scenario of 5G technologies. It will explore concepts of wireless sensing applications, computing technologies and their related analytics techniques involved in real time applications of healthcare, agriculture, construction and manufacturing, which all require an active generation of sustainability, digitization and intelligence which has become important in the academic world, industries, government organizations and private collaborations, etc. In recent times, the intersection of performance optimization of wireless networks with sustainable growth has not been fully exploited. The book will highlight the drawbacks of conventional technologies and methodologies utilized in networks, their associated Quality of Service (QOS) issues, case studies of present methodologies and the involvement of neoteric approaches to optimize and sustain the performance of these networks for real time applications. The book also looks at green automation, not only limited to computers with wireless and sensor-based technologies, but also disciplines such a nano-science, information technology (IT), and biochemistry, etc. The outcome is to consider sustainability and green computing, their relevance to environment and society and their applications to wireless and sensor-based networks."-- Provided by publisher. |
| Subject |
Network performance (Telecommunication)
|
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5G mobile communication systems.
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Performance des réseaux (Télécommunications) |
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Communications mobiles 5G. |
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5G mobile communication systems |
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Network performance (Telecommunication) |
| Added Author |
Zafar, Sherin, editor.
|
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Ahad, Mohd Abdul, editor.
|
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Ali, Syed Imran, editor.
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Mehta, Deepa, 1981- editor.
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Alam, Mohd Afshar, editor.
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| Other Form: |
Print version: Smart and sustainable approaches for optimizing performance of wireless networks Hoboken, NJ : Wiley, 2022 9781119682509 (DLC) 2021040689 |
| ISBN |
9781119682554 electronic book |
|
111968255X electronic book |
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1119682533 electronic book |
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9781119682523 electronic book |
|
1119682525 electronic book |
|
9781119682530 (electronic bk.) |
|
hardcover |
| Standard No. |
10.1002/9781119682554 doi |
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