Introduction

Advancements in sensor technology and networking have led to the evolution of large, distributed clusters of microsensors. It also kicks up the transition from fixed sensors to mobile nodes, wired to wireless communication, and from static network topology to dynamic network topology. Appropriate distributed services and network protocols provide a solution to mobility, dispersion, weak and intermittent disconnection, dynamic reconfiguration, and limited power availability. Distributed Sensor Networks (DSNs) must self-organize their routing and key management as it is one the integral parts of the IoT domain with its application in the military sector, environmental protection, industrial monitoring, smart cities, and many more. More attention is required to promote an efficient method for exchanging information between the nodes, and Collaborative Signal Processing between the nodes to gather useful information about the physical world. DSNs emulate the asset of sensor hardware and support extensible radio models such that the applications can be simulated with high reliability and also employs a distributed-memory parallel cluster system to attack the complex simulation problem. Due to hardware issues, depleted batteries, and environmental factors; sensor nodes are prone to frequent topological changes. This requires a design of network topology with a high degree of inherent fault tolerance and the ability to configure itself. Local collaboration of nearby sensor nodes achieves a higher level of confidence and improvement in sensing quality is achieved by integrating multiple independent sensors.

The technological advancements pose new challenges due to limited bandwidth, power constraints, and unstable and dynamic environments. Technological and research advances are required to gain scalability in a significant manner. Such advancements are necessary for network protocols, middleware, and operating systems, data processing algorithms, etc. Different technologies evolving around cloud and edge computing allow organizing streamlined development and operational tasks. These technologies allow a flexible development and integration process of the system components and facilitate monitoring and scalability. Further, IoT software services can be modelled using microservices design patterns. This special issue aims to look into the possibilities and the schemes to meet the challenges in the domain of distributed sensor networks with a particular focus on scalability and sustainability.

Recommended topics (but not limited to)

Authors are invited for original contributions on, but not limited to, the themes and topics in the following areas of research:

• Localization and Synchronization in Sensor Networks
• Efficient Device-to-Cloud Integration for Scalable Sensor and Actuator Networks
• Distributed Sensor Networks - Networking / Caching Issues
• Edge Computing for Scalable Sensor and Actuator Networks
• Sensor Networks for the Internet of Things (IoT)
• Efficient Device-to-Cloud Integration for Scalable Sensor and Actuator Networks
• Real-time embedded systems
• Pervasive and ubiquitous systems
• Real-time embedded systems
• Machine Learning in energy-efficient distributed sensor networks
• Fog and Mobile Edge Computing
• Advances in Cloud Computing, Grid and cluster computing
• Deep Learning for Distributed Sensor Networks
• Distributed Sensor Networks Data Analytics

Important dates

Submission deadline: 31 August, 2023

Authors notification: 30 November, 2023

Completion of Special Issue: December, 2023

Submission guidelines

Original and unpublished works on any of the topics aforementioned or related are welcome. The SCPE journal has a rigorous peer-reviewing process and papers will be reviewed by at least two referees. All submitted papers must be formatted according to the journal's instructions, which can be found here.

During submission please select a Special Issue that you want to submit to and provide this information in the Comments for the Editor field.

Guest Editors

Dr. Sathishkumar V E, Department of Software Engineering, Jeonbuk National University, Jeonji-si, Jeollabuk-do, Republic of Korea, email: sathish@jbnu.ac.kr

Sathishkumar V E is a Postdoctoral researcher in the Department of Software Engineering at Jeonbuk National University, Republic of Korea. Previously he was with the Hanyang University, Seoul, Republic of Korea in the Department of Industrial Engineering as a Postdoctoral researcher. In 2021, he worked as an Assistant Professor in the Department of Computer Science and Engineering, Kongu Engineering College. He received his Doctoral degree from Sunchon National University in 2021. He received his Bachelor's degree in Information Technology from Madras Institute of Technology, Anna University in 2013 and Master's degree in Biometrics and Cyber Security from PSG College of Technology in 2015. He worked as a Research Associate in VIT University from 2015 to 2017. He received South Korea’s prestigious Global Korean Scholarship for pursuing his doctoral degree. He is a reviewer for more than 200 journals and has reviewed more than 2000 research articles. He is currently serving as an academic editor for the journal PLOS ONE and Journal of Healthcare Engineering. He published more than 50 research articles in reputed Journals and Conferences. His research interests include Data Mining, Big data Analytics, Cryptography, Digital Forensics and Computational Chemistry.

Dr.Venkatachalam K, Department of Applied Cybernetics, University of Hradec Kralove , Hradec Kralove,Hradec Kralove, Czech Republic, email: venkatachalam.kandasamy@uhk.cz

Dr. Venkatachalam K received his Bachelors in Information Technology in 2005, Master’s in Computer Science and Engineering in 2008, and Ph.D. in Computer Science and Engineering in 2018. He has more than 14 years of academic experience and currently working as a Senior Researcher in the Department of Applied Cybernetics, Faculty of Science at the University of Hradec Kralove, Hradec Kralove, Czech Republic. His research interest includes artificial intelligence, machine learning, optimization, swarm intelligence, and cloud computing. He has published more than 50 scientific papers in high-quality journals and international conferences in these areas.He had published several articles in peer-reviewed journals and his research interest includes Data Mining, Web services, semantic web services, Distributed computing, and Cloud Computing. He is a Sun Certified SCJP professional and has obtained Brain Bench certification in various disciplines. He has organized several workshops on J2ME, Advanced Java Programming, Web Services, Enterprise Computing, Web Technology, and WSN (wireless sensor network) in his Institution and has presented papers on web services at National and International conferences. He has guided a number of research-oriented as well as application-oriented projects organized by well-known companies like IBM. He has delivered more than 20 Guest Lectures in reputed engineering colleges on various topics.He is a peer reviewer for journals, such as Software: Practice and Experience, Engineering Reports (Wiley), the IEEE Transactions on Computational Social Systems, the IEEE Transactions on Network Science and Engineering, the IEEE Transactions on Intelligent Transportation Systems, International Journal of Neural Systems, Peerj Computer science, Expert System, and the IEEE Access. He is also an Academic Editor of the Healthcare Engineering Journal, Hindawi. He is a member of various professional societies like CSI and IEEE.

Prof. Dr. Fadi Al-Turjman, Head of the Department of Artificial Intelligence Engineering. Near East University, Nicosia, Cyprus, email: fadi.alturjman@neu.edu.tr

Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen’s University, Canada, in 2011. He is a full professor and a research center director at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks’ architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). His publication history spans over 350 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 40 books about cognition, security, and wireless sensor network deployments in smart IoT environments, which have been published by well-reputed publishers such as Taylor and Francis, Elsevier, IET, and Springer. He has received several recognitions and best papers awards at top international conferences. He also received the prestigious Best Research Paper Award from Elsevier Computer Communications Journal for the period 2015-2018, in addition to the Top Researcher Award for 2018 at Antalya Bilim University, Turkey. Prof. Al-Tudjman has led a number of international symposia and workshops in flagship communication society conferences. Currently, he serves as book series editor and the lead guest/associate editor for several top-tier journals, including the IEEE Communications Surveys and Tutorials (IF 23.9) and the Elsevier Sustainable Cities and Society (IF 5.7), in addition to organizing international conferences and symposiums on the most up to date research topics in AI and IoT.