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<p>Preface xix</p> <p>Acknowledgements xxiii</p> <p><b>1 Self-Powered Sensory Transducers: A Way Toward Green Internet of Things 1</b><br /><i>Rajeev Ranjan</i></p> <p>1.1 Introduction 1</p> <p>1.2 Need of the Work 3</p> <p>1.3 Energy Scavenging Schemes in WSAN 4</p> <p>1.4 Self Powered Systems and Green IoT (G-IoT) 10</p> <p>1.5 Application Area and Scope of Self-Powered System in G-IoT 11</p> <p>1.6 Challenges and Future Scope of the Self-Powered G-IoT 22</p> <p>1.7 Conclusion 27</p> <p><b>2 Self-Powered Wireless Sensor Networks in Cyber Physical System 41</b><br /><i>Srividya P.</i></p> <p>2.1 Introduction 42</p> <p>2.2 Wireless Sensor Networks in CPS 43</p> <p>2.3 Architecture of WSNs with Energy Harvesting 44</p> <p>2.4 Energy Harvesting for WSN 44</p> <p>2.5 Energy Harvesting Due to Mechanical Vibrations 45</p> <p>2.6 Piezoelectric Generators 46</p> <p>2.7 Piezoelectric Materials 47</p> <p>2.8 Types of Piezoelectric Structures 48</p> <p>2.9 Hybridized Nanogenerators for Energy Harvesting 55</p> <p>2.10 Conclusion 56</p> <p><b>3 The Emergence of Cyber-Physical System in the Context of Self-Powered Soft Robotics 57</b><br /><i>Darwin S. and Fantin Irudaya Raj E.</i></p> <p>3.1 Introduction 58</p> <p>3.2 Actuators and Its Types 59</p> <p>3.3 Soft Actuator Electrodes 69</p> <p>3.4 Sensors 72</p> <p>3.5 Soft Robotic Structures and Control Methods 74</p> <p>3.6 Soft Robot Applications 76</p> <p>3.7 Future Scope 79</p> <p>3.8 Conclusion 82</p> <p><b>4 Dynamic Butterfly Optimization Algorithm-Based Task Scheduling for Minimizing Energy Consumption in Distributed Green Data Centers 91</b><br /><i>Sengathir Janakiraman and Deva Priya M.</i></p> <p>4.1 Introduction 92</p> <p>4.2 Related Work 94</p> <p>4.3 Improved Dynamic Butterfly Optimization Algorithm (IDBOA)-Based Task Scheduling (IDBOATS) 99</p> <p>4.4 Results and Discussion 106</p> <p>4.5 Conclusion 110</p> <p><b>5 Wireless Power Transfer for IoT Applications--A Review 115</b><br /><i>Sasikala G. and Rajeev Ranjan</i></p> <p>5.1 Introduction 116</p> <p>5.2 Sensors 116</p> <p>5.3 Actuators 118</p> <p>5.4 Energy Requirement in Wireless Sensor Networks (WSNs) 119</p> <p>5.5 Wireless Sensor Network and Green IoT (G-IoT) 121</p> <p>5.6 Purpose of G-IoT 122</p> <p>5.7 Motivation 124</p> <p>5.8 Contribution 124</p> <p>5.9 Need of the Work 125</p> <p>5.10 Energy Transferring Schemes in WSAN 126</p> <p>5.11 Electromagnetic Induction 127</p> <p>5.12 Inductive Coupling 131</p> <p>5.13 Resonance Inductive Coupling 132</p> <p>5.14 Wireless Power Transmission Using Microwaves 133</p> <p>5.15 Electromagnetic Radiations 135</p> <p>5.16 Conclusion 135</p> <p><b>6 Adaptive Energy Intelligence Using AI/ML Techniques 141</b><br /><i>Gowthamani R., Sasi Kala Rani K., Manikandan M. and Rohini M.</i></p> <p>6.1 Introduction 142</p> <p>6.2 Evolution of Cyber Physical System 144</p> <p>6.3 Relationship With Internet of Things 146</p> <p>6.4 Challenges in Design and Integration of Cyber Physical Systems 147</p> <p>6.5 Future Challenges and Promises 149</p> <p>6.6 Machine Learning Models 149</p> <p>6.7 Estimation of Building Energy Consumption 150</p> <p>6.8 Development of Artificial Intelligence 150</p> <p>6.9 Usage of AI/ML in Adaptive Energy Management 151</p> <p>6.10 Use of Hybrid/Ensemble Machine Learning Algorithm for Better Prediction 152</p> <p>6.11 Conclusion 155</p> <p><b>7 Renewable Energy Smart Grids for Electric Vehicles 159</b><br /><i>Vishal H. Kanchan, Preethesh B., Hithesh Alen D'Costa, Sohan R. Alva and Rathishchandra Ramachandra Gatti</i></p> <p>7.1 Introduction 160</p> <p>7.2 Integration of Electric Vehicles (EVs) into the Power Grid 161</p> <p>7.3 EV Charging and Electric Grid Interaction 161</p> <p>7.4 EVs with V2G System Architecture 163</p> <p>7.5 EVs and Smart Grid Infrastructure 164</p> <p>7.6 Renewable Energy Sources Integration With EVs 165</p> <p>7.7 Application in Transport Sector 167</p> <p>7.8 Application in Micro-Grid 169</p> <p>7.9 State-of-the-Art Review 170</p> <p>7.10 Future Trends 172</p> <p><b>8 Recent Advances in Integrating Renewable Energy Micro-Grid Systems With Electric Vehicles 177</b><br /><i>Hithesh Alen D'Costa, Sohan R. Alva, Vishal H. Kanchan, Preethesh B. and Rathishchandra R. Gatti</i></p> <p>8.1 Introduction 178</p> <p>8.2 Electric Vehicles and Renewable Energy Sources: A General Overview 179</p> <p>8.3 Microgrid 183</p> <p>8.4 Interactions Between Cost-Conscious EVs and RESs 186</p> <p>8.5 Interaction Between Efficiency-Conscious EVs and RESs 188</p> <p>8.6 Open Problems 190</p> <p>8.7 Conclusion 191</p> <p><b>9 Overview of Fast Charging Technologies of Electric Vehicles 193</b><br /><i>Sohan R. Alva, Vishal H. Kanchan, Preethesh B., Hithesh Alen D'Costa and Rathishchandra Ramachandra Gatti</i></p> <p>9.1 Introduction 194</p> <p>9.2 Different Levels of Charging Electric Vehicles 194</p> <p>9.3 State-of-the-Art Fast-Charging Implementation 197</p> <p>9.4 DC Fast-Charging Structure 199</p> <p>9.5 Fast Chargers 200</p> <p>9.6 Today's Situation and Future Needs 201</p> <p>9.7 Fast-Charging Point Power Requirements 202</p> <p>9.8 Recent Technologies in Fast Charging, Machine Learning, and Artificial Intelligence 203</p> <p>9.9 Effect of Fast Charging on EV Powertrain Systems 205</p> <p>9.10 Grid Impacts Caused by EV Charging 207</p> <p>9.11 Fast-Charging Technologies on the Self-Powered Automotive Cyber-Physical Systems 208</p> <p>9.12 Conclusions 209</p> <p><b>10 A Survey of VANET Routing Attacks and Defense Mechanisms in Intelligent Transportation System 213</b><br /><i>Allam Balaram, P. Chandana, Shaik Abdul Nabi and M. SilpaRaj</i></p> <p>10.1 Introduction 214</p> <p>10.2 Attacks in VANET 215</p> <p>10.3 Impacts of Attacks on VANET Routing 216</p> <p>10.4 Nonintentional Misbehavior 217</p> <p>10.5 Intentional Misbehavior 217</p> <p>10.6 Defence Mechanism of Routing Attacks in VANET Routing 218</p> <p>10.7 Intrusion Detection Techniques in VANETs 220</p> <p>10.8 Anonymous Routing in VANETs 221</p> <p>10.9 Challenges and Future Directions 222</p> <p>10.10 Conclusion 223</p> <p><b>11 ANN-Based Cracking Model for Flexible Pavement in the Urban Roads 227</b><br /><i>Athiappan K., Kandasamy A., Karthik C. and Rajalakshmi M.</i></p> <p>11.1 Introduction 228</p> <p>11.2 Literature Review 229</p> <p>11.3 Methodology 230</p> <p>11.4 Structural Number 234</p> <p>11.5 Modeling Methodology 235</p> <p>11.6 Model Validation 238</p> <p>11.7 Sensitivity Analysis 238</p> <p>11.8 Conclusions 241</p> <p>11.9 Limitations 241</p> <p>11.10 Future Scope of Study 241</p> <p><b>12 A Review of Autonomous Vehicles 243</b><br /><i>Joyston J. D'Costa and Ajith B.S.</i></p> <p>12.1 Introduction 244</p> <p>12.2 History 245</p> <p>12.3 Degrees in Automation 246</p> <p>12.4 Benefits and Drawbacks 247</p> <p>12.5 Working Principle of Autonomous Vehicles 249</p> <p>12.6 Mechanics Involved 250</p> <p>12.7 Conclusion 252</p> <p><b>13 Meeting Privacy Concerns in Intelligent Transportation Systems 255</b><br /><i>Sharon D. John</i></p> <p>13.1 Introduction 255</p> <p>13.2 Synopsis of ITS 257</p> <p>13.3 Future Research Direction 260</p> <p>13.4 Contributions to this Research 261</p> <p>13.5 Conclusions 262</p> <p><b>14 Feasibility Study of Digital Twin in Automotive Industry--Trends and Challenges 265</b><br /><i>Preethesh B., Hithesh Alen D'Costa, Sohan R. Alva, Vishal H. Kanchan and Rathishchandra R. Gatti</i></p> <p>14.1 Introduction 266</p> <p>14.2 Industrial Evolution 267</p> <p>14.3 Influence of IoT on Digital Twin 268</p> <p>14.4 Digital Twin in CPS Applications 269</p> <p>14.5 Digital Twin Types 270</p> <p>14.6 Levels of Digital Twin 271</p> <p>14.7 Digital Thread 272</p> <p>14.8 State-of-the-Art Digital Twin Deployment 273</p> <p>14.9 Benefits of Digital Twin 274</p> <p>14.10 Digital Twin Life Cycle 275</p> <p>14.11 Digital Twin in Automotive Industry 276</p> <p>14.12 Applications of Digital Twinning Technology in the Automotive Industry 277</p> <p>14.13 Role of Digital Twins in Addressing Current Automotive Challenges 279</p> <p>14.14 Challenges for Implementing Digital Twin in Automotive Industry 280</p> <p>14.15 Bridging the Gap 280</p> <p><b>15 State-of-the-Art and Future Applications of Farming Robotics 283</b><br /><i>Badrinath A.R., Abhishek Kamath, Veerishetty Arun Kumar, Nishan Rai and Rathishchandra R. Gatti</i></p> <p>15.1 Introduction 283</p> <p>15.2 Components of Agricultural Robots 285</p> <p>15.3 Types of Agricultural Robots 288</p> <p>15.4 Implementation of Robotics in the Agricultural Process 290</p> <p>15.5 Challenges 294</p> <p>15.6 Conclusions 295</p> <p><b>16 Review on Robot Operating System 297</b><br /><i>G. Vijeth and Rathishchandra R. Gatti</i></p> <p>16.1 Introduction 297</p> <p>16.2 Nomenclature 301</p> <p>16.3 ROS Implementation 303</p> <p>16.4 Conclusion 306</p> <p><b>17 An Overview of Collaborative Robots and Their Applications 309</b><br /><i>Rao S. Krishna and Lawrence J. Fernandes</i></p> <p>17.1 Introduction 309</p> <p>17.2 Art of Study 310</p> <p>17.3 Implementation of Collaborative Robots 314</p> <p>17.4 Conclusion 318</p> <p><b>18 State-of-the-Art and Future Applications of Powered Exoskeleton 321</b><br /><i>C.P. Dheeshith, K. Abhijith, A. Shahaas, Rithin B. Nambiar and Rathishchandra R. Gatti</i></p> <p>18.1 Introduction 321</p> <p>18.2 Powered Exoskeleton 323</p> <p>18.3 State of the Art 324</p> <p>18.4 Design Parameters to be Considered 325</p> <p>18.5 Challenges to Tackle 328</p> <p>18.6 Applications of Powered Exoskeleton 328</p> <p>18.7 Conclusion 330</p> <p><b>19 An Overview of Recent Trends in Consumer Robotics 333</b><br /><i>Pramod Rao M., Shrihari P.C., Manoj, Shankar Gouda S. and Rathishchandra R. Gatti</i></p> <p>19.1 Introduction 333</p> <p>19.2 Entertainment Robot 334</p> <p>19.3 Educational Robot 335</p> <p>19.4 Social Robot 336</p> <p>19.5 Toy Robot 337</p> <p>19.6 Conclusion 338</p> <p><b>20 Soft Robotics in Waste Management 341</b><br /><i>S. Rithvik, Vijith Rai, Surya Dornal, Deepak J. and B.C. Pramod</i></p> <p>20.1 Introduction 341</p> <p>20.2 Soft Robotics Insights 342</p> <p>20.3 Soft Robots in Waste Management 343</p> <p>20.4 Are Soft Robots the First Step for a Sustainable Future? 346</p> <p>20.5 Conclusions 347</p> <p><b>21 State-of-the-Art Review of Robotics in Crop Agriculture 349</b><br /><i>A. Shahaas, Rithin, B. Nambiar, C.P. Dheeshith, K. Abhijith and Rathishchandra R. Gatti</i></p> <p>21.1 Introduction 349</p> <p>21.2 Scope 350</p> <p>21.3 Advantages 351</p> <p>21.4 Disadvantages 352</p> <p>21.5 Applications 352</p> <p>21.6 Automation in Agriculture 354</p> <p>21.7 Precision Agriculture 356</p> <p>21.8 Conclusion 357</p> <p>References 357</p> <p>Index 359</p>

<p><b>Rathishchandra R Gatti,</b> PhD, is a professor and head of the Department of Mechanical Engineering and Robotics and Automation at the Sahyadri College of Engineering and Management, Mangalore, India. He holds four patents, has published over 40 peer-reviewed publications and is the editor of seven books and one journal. He has over 20 years of R&D experience in mechanical engineering and mechatronics. <p><b>Chandra Singh,</b> MTech, is an assistant professor in the Department of Electronics and Communication Engineering at the Sahyadri College of Engineering and Management, Mangalore, India and is pursuing his PhD. He holds four patents, has written over 25 peer-reviewed publications and is the editor of 7 books. <p><b>Rajeev Agrawal,</b> PhD, is an associate professor in the Department of Mechanical Engineering, at the Malaviya National Institute of Technology, Jaipur, India. He has more than 24 years of professional experience and serves on the editorial board of three international journals and has guest-edited over 10 journals and books. He has published over 100 research papers. <p><b>Felcy Jyothi Serrao,</b> PhD, is an associate professor in the Department of Physics at Sahyadri College of Engineering and Management, India. She has 19 years of teaching experience and 12 years of research experience in the field of semiconducting metal oxide nanofilms. She has published more than 18 research articles in peer-reviewed journals and conferences.

<p><b>This cutting-edge new volume provides a comprehensive exploration of emerging technologies and trends in energy management, self-powered devices, and cyber-physical systems, offering valuable insights into the future of autonomous systems and addressing the urgent need for energy-efficient solutions in a world that is increasingly data-driven and sensor-rich.</b> <p>This book is an attempt to aim at a very futuristic vision of achieving self-powered cyber-physical systems by applying a multitude of current technologies such as ULP electronics, thin film electronics, ULP transducers, autonomous wireless sensor networks using energy harvesters at the component level and energy efficient clean energy for powering data centers and machines at the system level. This is the need of the hour for cyber-physical systems since data requires energy when it is stored, transmitted, or converted to other forms. Cyber-physical systems will become energy hungry since the industry trend is towards ubiquitous computing with massive deployment of sensors and actuators. This is evident in using blockchain technologies such as Bitcoin or running epochs for artificial intelligence (AI) applications. Hence, there is a need for research to understand energy patterns and distribution in cyber-physical systems and adopt new technologies to transcend to self-powered cyber-physical systems. This book explores the recent trends in energy management, self-powered devices, and methods in the cyber-physical world. <p>Written and edited by a team of experts in the field, this book tackles a multitude of subjects related to cyber physical systems (CPSs), including self-powered sensory transducers, ambient energy harvesting for wireless sensor networks, actuator methods and non-contact sensing equipment for soft robots, alternative optimization strategies for DGDCs to improve task distribution and provider profits, wireless power transfer methods, machine learning algorithms for CPS and IoT applications, integration of renewables, electric vehicles (EVs), smart grids, RES micro-grid and EV systems for effective load matching, self-powered car cyber-physical systems, anonymous routing and intrusion detection systems for VANET security, data-driven pavement distress prediction methods, the impact of autonomous vehicles on industries and the auto insurance market, Intelligent transportation systems and associated security concerns, digital twin prototypes and their automotive applications, farming robotics for CPS farming, self-powered CPS in smart cities, self-powered CPS in healthcare and biomedical devices, cyber-security considerations, societal impact and ethical concerns, and advances in human-machine interfaces and explore the integration of self-powered CPS in industrial automation. Whether for the veteran engineer or student, this volume is a must-have for any library.

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