The book is a collection of best selected research papers presented at the Fifth International Conference on Communication, Devices and Computing (ICCDC 2025). The book covers new ideas, applications and experiences of research engineers, scientists, industrialists, scholars and students from around the globe. It covers research contributions from communication technologies which are from the areas such as 5G communication, next-generation Wi-Fi, spread spectrum systems, satellite and high altitude platforms, radio over fiber techniques, wireless sensor networks, modulation and diversity technique, ad hoc and mesh networks, cognitive radio networking, optical wireless and visible light communications, signal processing for secure communication, millimeter wave and terahertz communication, design, control and management of optical network, error control coding and information theory, printed antennas, performance analysis of wireless network, smart antennas and space time processing.

Presents recent research in communication, electronic devices, and computing Discusses the outcomes of ICCDC 2025, held in Haldia, West Bengal, India Serves as a reference guide for researchers and practitioners in academia and industry

Autorentext

Prof. Shiban K Koul is currently an honorary professor at the Indian Institute of Technology, Delhi. His research interests include high frequency wireless communication, microwave engineering, millimeter and sub-millimeter wave IC design, body area networks, flexible and wearable electronics, medical applications of sub-terahertz waves and reconfigurable microwave circuits including miniaturized antennas. He has successfully completed 38 major sponsored projects, 52 consultancy projects and 61 technology development projects. He has authored/co-authored 650 research papers, 27 state-of-the art books, four book chapters and two e-books. He holds 27 patents, six copyrights and one trademark. He has guided 30 Ph.D. theses and more than 100 master’s theses.

Prof. Mrinal Mandal received his M.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of Ottawa, Canada. He is currently a professor and director of the Digital Image Analysis Laboratory, at the University of Alberta, Canada. His research interests include medical and document image analysis, computer-aided diagnosis, intelligent systems, deep learning and hardware architectures. He has published more than 225 papers in refereed journals and conferences. He has been the principal investigator of research projects funded by several Canadian Networks of Centers of Excellence such as CITR, MICRONET, NSERC and MITACS. He is currently serving as an associate editor of the International Journal

of Imaging Systems and Technology and Journal of Imaging. He has authored two books: Multimedia Signals and Systems (Kluwer) and Continuous and Discrete Time Signals and Systems (Cambridge University Press).

Prof. Santi P. Maity joined the faculty of Indian Institute of Engineering Science and Technology, Shibpur (IIEST Shibpurat) (formerly BEC (DU), BESU Shibpur) in the year 2000 followed by a brief teaching experience in K. G. Engineering Institute, Bishnupur and Haldia Institute of Technology in the period 1996–2000. At present, he is a professor (HAG) in Dept. of Information Technology. He also served as the head of different other academic units of the Institute, namely Dept. of Information Technology, Purabi Das School of Information Technology (PDSIT), School of VLSI (SVLSI) and School of Mechatronics and Robotics (SMR) and School of Advanced Materials, Green Energy and Sensor Systems (SAMGESS).

Prof. Chanchal Kumar De earned his Ph.D. in Electronics and Communication Engineering (specializing in wireless communication and networking) from NIT Durgapur in 2014. With over 20 years of academic experience, his research areas include radio resource management in wireless networks, OFDM technology, cooperative communication, cognitive radio networks and full-duplex communication. He has authored more than 50 publications in international reputed journals and conference proceedings, along with book chapters. Additionally, he has been guiding multiple Ph.D. students in the field of wireless communication.

Dr. Avishek Das completed his B.E. degree in Electronics and Communication Engineering and M.Tech. (the project was done on Microwave at Antenna Division at SAMEER-Centre for Electromagnetics, Chennai) in E.C.E (Microwave) from the University of Burdwan, West Bengal, India, in 2008 and 2010, respectively. He received an MBA degree in Human Resource from Sikkim Manipal University in the year 2014 and completed his Ph.D. in 2020 from National Institute of Technology, Durgapur, West Bengal, India, under Visvesvaraya Ph.D. Scheme for Electronics and IT, Ministry of Electronics and IT, Government of India. He was associated as a post Ph.D. researcher at National Institute of Technology, Durgapur, on the project funded by Science and Engineering Research Board, Department of Science and Technology, Government of India (Grant No. EEQ/2017/000519 dated 23/03/2018).

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Decentralized Blockchain-Powered Smart Contract Based Money Lending System.- Implementation of an Enhanced Particle Swarm Optimization Model for Mining High-Utility Itemsets.- Enhancing JavaScript Code Autocompletion by Fine-Tuning StarCoder.- Fake News Detection Utilizing Hybrid Deep Learning Models.- A Review on AI-Powered Strategies for River Basin Monitoring and Decision-Making.- Road Feel Simulation Strategy for Steer-by-Wire System in Heavy Vehicles Using Electronic Linkages.- Smart Ambulance Navigation Using Pattern Recognition and Adaptive Path Planning.- Hybrid Solar PVBatteryGenerator System for Telecommunications Towers with Local Households Power Supply.- Defending Digital Borders with Neuro-Symbolic AI: An Explainable Approach to Tactical Intrusion Detection.- Design and Implementation of Low Cost Prototype SmartBin for Smart Campus.- Development of an Intelligent IoT based AI Enabled Pollution Monitoring and Forecasting System for Smart Cities.- Development of an Intelligent IoT based AI Enabled Pollution Monitoring and Forecasting System for Smart Cities.- Early Glaucoma Stage Diagnosis Using Novel Hybrid Deep Learning Framework.- Advanced Smart Door Lock System with Integrated Home Automation.- Integrating IoT and Ant Colony Optimization for Smart Waste Management in Urban Area.- Transformer-Augmented YOLOv8s for Real-Time Seatbelt Detection.- ECO-TRACK: A Smart Agricultural Platform for Soil Health Analysis, Medicinal Plant Identification, and Market Guidance .- Stability and Degradation Mechanisms of CsSnBr3 Perovskite Solar Cells: Comparative Insights into Thermal, Moisture, and Photonic Aging.- Quantum Support Vector Machine-Based Approach for Fruit Ripeness.