Computational Intelligence and Data Fusion in Wireless Multimedia Sensor Networks
The wide availability of low-cost cameras and complementary metal-oxide-semiconductor (CMOS) sensors has fostered the development of wireless multimedia sensor networks (WMSNs), i.e. a network of wirelessly interconnected sensor nodes equipped with multimedia devices. WMSNs promise a wide spectrum of potential applications in areas that require information-intensive data (e.g. audio, video, and images), such as multimedia surveillance sensor networks, advanced health care delivery and industrial process control. These multimedia applications typically produce redundant and complex raw data from heterogeneous sources, which makes it difficult to meet the quality of service requirements without processing the data in a fair and efficient manner.
Computational intelligence is a set of nature-inspired computational methodologies and approaches to enable or facilitate intelligent behaviours in complex and changing environments resulting in an uncertainty problem, whilst data fusion techniques applied to aggregate sensory data obtained by different sensors can obtain consistent and accurate results and improve the network performance. Therefore, this Special Collection will bring together leading researchers and developers in fields of computational intelligence, information fusion and distributed storage techniques to study the particular problems and challenges of wireless multimedia sensor networks.
For this Special Collection, authors are invited to submit original research papers and high-quality overview and survey articles on topics including, but not limited to:
Machine learning techniques for enhancing the performance of WMSNs
Performance evaluation and scalability in WMSNs
Applications of computational intelligence techniques in WMSNs
Multimodal data aggregation and fusion in WMSNs
Multimedia processing and communication in WMSNs
Knowledge cognitive based on multi-sensor systems
Modelling and simulation tools for WMSNs
Data representation and visualization in WMSNs
Uncertainty in WMSNs
Fuzzy computing in WMSNs
3D scene analysis from distributed multimedia sensors
Distributed processing algorithms and fusion of multimedia data
Keywords: Computational Intelligence; Data Fusion; Uncertainty; Machine Learning; Modelling and Simulation Tools; Distributed Storage; Wireless Multimedia Sensor Networks
The submitted manuscripts for this Special Collection will be peer-reviewed before publication.
Please submit your manuscript according to the following schedule for the Special Collection:
Deadline for submission
4 May 2018
First Round of Reviews
First Papers Published
Lead Guest Editor
Zhikui Chen, Dalian University of Technology, China
Professor Zhikui Chen received his PhD. degree in Digital Signal Processing and MS degree in Mechanics from Chongqing University, China, in 1998 and 1993, respectively. He obtained his BS degree from the Department of Mathematics and Computer Science, Chongqing Normal University, China. Zhikui Chen is a full professor at Dalian University of Technology, China where he leads the Institute of Ubiquitous Network and Computing. His research interests include big data processing, mobile cloud computing, ubiquitous network and its computing.
Ruomei Wang, Sun Yat-sen University, China
Professor Ruomei Wang is a professor at Sun Yat-Sen University. In 1991, she gained an MSc in computer science from the Computer Department at Xidian University, later gaining a PhD in textile science from the Hong Kong Polytechnic University in 2007. At this time, her research focused on the application of computer-aided design technology (CAD) for clothing biomechanical engineering design. Her research interests cover CAD technology for clothing functional design, computer simulation and computer graphics.
Xiangjian He, University of Technology Sydney, Australia
Professor Xiangjian He is a professor and the Director of the Computer Vision and Pattern Recognition Laboratory at the Global Big Data Technologies Centre, University of Technology, Sydney (UTS). He is also the Director of UTS-NPU International Joint Laboratory on Digital Media and Intelligent Networks. He is an IEEE Senior Member and has been an IEEE Signal Processing Society Student Committee member. He has been awarded the title of 'Internationally Registered Technology Specialist' by the International Technology Institute (ITI). His research interests are mainly in the areas of image processing, network security, and pattern recognition and computer vision.
Songhua Xu, New Jersey Institute of Technology, USA
Dr Songhua Xu is an assistant professor in New Jersey Institute of Technology. He received his PhD, MPhil, and MS, all in computer science from Yale University. His research interests include information retrieval, knowledge management and discovery, intelligent web and social media. He is a member of the AAAI, the SPIE, the IEEE, the American Association for the Advancement of Science, the Society for Industrial and Applied Mathematics and the New York Academy of Sciences. Dr Xu has authored one book and over 50 peer reviewed articles in well-respected venues of computer science. He has served as program committee members for several top conferences, including IJCAI, ICDM, and IUI. He is a regular reviewer for 15 top journals and conferences in the field.