CSWS 2016 - Special Issue on Compressive Sensing in Wireless Sensor Networks

Wireless sensor networks (WSNs) consist of a large number of sensor nodes and can be adopted in many applications such as mobile sensing, environmental monitoring, localization, and tracking. However, constraints of energy and bandwidth are two significant factors to restrict the above applications. Compressive sensing (CS), in which sparse signal can be reconstructed with high fidelity from a small number of random linear measurements, promises to reduce the sampling rate and effectively overcome the limitations of energy and bandwidth in WSNs. There are great opportunities and accompanying challenges to exploit potential benefits incorporating CS-based algorithms for WSN information processing.
This proposed special issue will focus on innovative and transformative timely contributions in the general areas of theories and algorithms of compressive sensing with applications to wireless sensor networks.
Potential topics include, but are not limited to:
Compressed signal representation and compression for wireless sensor networks
Compressive sensing for information aggregation in wireless sensor networks
Compressive sensing for distributed processing in wireless sensor networks
Compressive sensing for event detection and tracking in wireless sensor networks
Compressive sensing for energy efficient network protocols in wireless sensor networks
Compressive sensing algorithms for distributed embedded applications
Security and privacy issues on compressive sensing in wireless sensor networks
Compressive sensing for mobile sensing
Compressive sensing in energy efficient multichannel and MIMO communication
Sparse and compressive sensing system architecture for internet of things
System prototypes and experimental platforms of CS based WSN
Authors can submit their manuscripts via the Manuscript Tracking System at http://mts.hindawi.com/submit/journals/ijdsn/cswsn....
Manuscript Due Friday, 18 September 2015
First Round of Reviews Friday, 11 December 2015
Publication Date Friday, 5 February 2016
Lead Guest Editor
Yu-Hen Hu, University of Wisconsin-Madison, Wisconsin, USA
Guest Editors
Zhi Wang, Zhejiang University, Zhejiang, China
Xiao-Ping Zhang, Ryerson University, Ontario, Canada
Gang Zheng, INRIA Lille-Nord Europe, Le Chesnay, France