Information Fusion, Data Analysis and Mining, and Knowledge Discovery in Hybrid Networks

Call for Papers

The convergence of internet, wireless communications, and information processing technologies with techniques for miniaturization has opened up new vistas of research for hybrid communications networks. The network model, under consideration here, consists of a mix of wireline and wireless networks. The properties of the wireline networks are significantly different from those of the wireless network(s). Application flows can originate from and terminate at either the wireline networks or wireless devices, which will then constitute the end user network segments. The intervening network, consisting of one or more autonomous networks, can be wireless or wireline in nature depending on the application domain and serve as the backbone. Emerging technologies for sensing and pervasive computing have placed these hybrid networks at the threshold of a period of major growth. It has extended information fusion and dissemination in communications networks from data aggregation, association, and monitoring of interactions among hardware and software entities in ubiquitous computing environments to intelligent information processing for the next generation wireless internet. Hybrid networks provide enormous challenges for analyzing, mining, and learning from massive volumes of disparate, dynamic, and geographically distributed data originating from multiple sources. The aim of this special issue is to provide a focal point for recent advances in this foundational area of information fusion, data mining, and knowledge discovery for hybrid networks across different paradigms, disciplines, and technologies. Submitted papers should report new contributions underpinning fusion, mining, and dissemination of data in distributed hybrid networks from various perspectives. Potential topics include, but are not limited to:

• Multisensor, multisource information fusion, data mining, and knowledge discovery for hybrid networks
• Data collection, compression/decompression, association, and mining/learning strategies
• Sensor network localization and information fusion
• Distributed database processing in hybrid networks and testbeds
• Traffic load, routing, and performance analysis
• Information fusion for context awareness
• Mining of graph data
• Temporal and spatial information fusion for human-centric services
• Multimedia information fusion
• Analysis and mining of security threats to hybrid networks
• Hybrid network virtualization and cloud analytics
• Data analysis and mining frameworks
• Real-world network applications addressing fusion, analysis, mining, and learning of data and knowledge

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/jcnc/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable:

Lead Guest Editor

• Pratik K. Biswas, Scientific Research Corporation, Shrewsbury, NJ 07702, USA

Guest Editors

• Hairong Qi, The University of Tennessee, Knoxville, Knoxville, TN 37996, USA
• Varun Chandola, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
• Antonio Mucherino, IRISA, University of Rennes 1, Rennes, France