Special Issue Information Special Issue Call for Paper Other Special Issues on this journal Closed Special Issues
Software Defined Networks (SDNs) for Environmental Surveillance

Software Defined Networks (SDNs) for Environmental Surveillance

Journal
Impact Score 3.13

OFFICIAL WEBSITE

Special Issue Information

Submission Deadline: 20-09-2021
Journal Impact Score: 3.13
Journal Name: Automated Software Engineering
Publisher: Automated Software Engineering
Journal & Submission Website: https://www.springer.com/journal/10515

Special Issue Call for Papers

DESCRIPTION:

In order to make them very suitable for extreme surveillance devices, the ability to track new technologies and applications. A large number of applications related to extreme events especially natural disasters, agriculture, water, forestry, military, housing, health monitoring, crisis response & emergency management, regional and industrial surveillance, have already been researched from the perspective of emerging technologies, and some of these surveillance applications have drawn a great deal of interest. New innovations are increasingly becoming the most relevant and valuable source of expertise and intelligence in the face of extreme incidents. This covers all of them from the memories of everyone to all that happens in the world. In natural events, video tracking, flood images, social media, voice and video, to name a few, only if their volumes escalate to the degree that current delivery and analysis technologies do not accommodate them efficiently can there be more new developments. UAV networks can range from sluggish to dynamic structure; they have sporadic connexions and fluid topology. While ad hoc mesh networks are assumed to be more appropriate for UAV networks, the design of multi-UAV networks has been understudied. Software Defined Networking (SDN) will make it easy to implement and handle new networks in a modular way and help to minimise costs , improve security and network capacity. UAV network routing requirements go beyond the needs of MANETS and VANETS. Unmanned Aerial Vehicles (UAVs) allow people in emergency situations to enter necessary skills and expertise. Multiple UAVs creating a UAV network (UAVNet) could work together to execute particular tasks in a more effective and knowledgeable way than making a single UAV by communicating with each other. UAV Nets have unusual characteristics of strong complexity, unreliable wireless aerial communications, and probabilities of UAV collision. We suggest a special issue aimed at collecting the current research and development advances in the field of software-defined disaster area UAV contact networks for intense surveillance in order to overcome these challenges. Original papers are sought and discuss the most recent issues and challenges.

Interesting subjects include, but are not limited to:

IMPORTANT DATES

Manuscript Submission Deadline: 20 September 2021

Notification to Authors: 28 December 2021

Final versions due: 20 March 2022

GUEST EDITOR(S)

Prof. Dr. B. Nagaraj  M.E., Ph.D., MIEEE

Dean - Innovation Centre

Rathinam Group of Institutions

Coimbatore, Tamilnadu, India

[email protected]

Prof. Dr. Danilo Pelusi,

University of Teramo, Italy

Dept. of Communication Engineering

[email protected]

Prof. Raffaele Mascella,

Dept. of Communication Engineering

University of Teramo, Italy

[email protected]

Prof. Dr . Yong Deng

Professor- Institute of Fundamental and Frontier Science,

University of Electronic Science and Technology of China.

[email protected]

Prof. B. Nagaraj is working as a Professor and Dean in Rathinam Group of Institutions, Coimbatore, India. He received his M.E. and PhD degrees from Anna University, and Karpagam University in 2004 and 2010, respectively. In 2005 he joined a Lecturer in Kamaraj College of Engineering, India and he worked there for 12 years (till May 15th, 2013) in various positions. His technical expertise and research interests include a control system, Automation, soft computing, and high-speed signal processing. He received Best Researcher Award from Karunya University for the best research paper in the year 2010. He is the author or co-author of more than 48-refereed publications in journals and conferences. He applied for five patents and is published in Indian Patent Journal. He is a member of various professional bodies like IEEE, MAENG, IACSIT, ISTE, and IETE. He is a reviewer for different reputed journals like Elsevier, Wiley, Inderscience, etc., and he has been the Guest Editor for a few special issues in Hindawi, Elsevier, Inderscience, Springer, etc.

Prof. Danilo Pelusi, received the Ph.D. degree in computational astrophysics from the University of Teramo, Italy, where he is currently an Associate Professor with the Faculty of Communication Sciences. His research interests include fuzzy logic, neural networks, information theory, evolutionary algorithms, and machine learning. He has served as a Program Member of many conferences and as an Editorial Board Member of many journals. He is also an Associate Editor of the IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access, the International Journal of Machine Learning and Cybernetics (Springer), and Array (Elsevier). He is also a Guest Editor for Elsevier, Springer, and Inderscience journals. He is also a Reviewer of reputed journals, such as the IEEE Transactions on Fuzzy Systems and the IEEE Transactions on Neural Networks and Learning Systems.

Prof. Raffaele Mascella, is Associate Professor of Logic and Philosophy of Science and President of the Master's Degree Course in Business Management and Communication at the Faculty of Communication Sciences of the University of Teramo, where he teaches Logic and Theory of Argumentation and Logic and Decision Making . In 1995 he obtained his doctorate in Epistemology and Didactics of Mathematics (Thesis title: Applications and epistemological issues in computer science). He was Coordinator of Masters and Training Courses, member of the College of the Doctorate in Epistemology of Informatics and Social Changes (University of Teramo). He deals with the philosophy of mathematics, information and computation, fuzzy logic and code theory.

Prof. Yong Deng received the Ph.D. degree in precise instrumentation from Shanghai Jiao Tong University, Shanghai, China, in 2003. From 2005 to 2011, he was an Associate Professor with the Department of Instrument Science and Technology, Shanghai Jiao Tong University. Since 2010, he has been a Professor with the School of Computer and Information Science, Southwest University, Chongqing, China. Since 2012, he has been a Visiting Professor with Vanderbilt University, Nashville, TN, USA. Since 2016, he has been a Professor with the School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China. Since 2017, he has been a Full Professor with the Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China, Chengdu, China, and also an Adjunct Professor with the Medical Center, Vanderbilt University. He has published more than 100 articles in refereed journals. His research interests include evidence theory, decision making, information fusion, and complex system modeling. He served as the Program Member of many conferences, such as the International Conference on Belief Functions. He served many editorial board member positions, such as Editorial Board Member of Applied Intelligence and Journal of Organizational and End User Computing. He served as a Guest Editor, such as International Journal of Approximate Reasoning, Mathematical Problems in Engineering, and Sustainability. He served as the Reviewer for more than 30 journals. Since 2014, he has received numerous honors and awards, including the Elsevier Highly Cited Scientist, in China. (Based on document published on 23 March 2020).

Closed Special Issues

Publisher
Journal Details
Closing date
G2R Score
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