ESM-WSNs 2014 - The IEEE International Workshop on Electromagnetic Spectrum Monitoring Based on Wireless Sensor Networks (ESM-WSNs 2014)

With the rapid development of wireless communication technologies, electromagnetic spectrum resources become increasingly scarce. This inspires us to pursue some efficient methods to deal with this problem such as eletromagnetic spectrum monitoring based on wireless sensor networks(WSNs). Electromagnetic spectrum monitoring based on WSNs could provide high detection accuracy through cooperative detection. We also could monitor spectrum resources for a long time and analyze the monitoring data to reuse the idle spectrum resources. Furthermore, we could locate and track the illegal radio source accurately in the WSNs coverage area.
Motivated by the advantages above, further studies of electromagnetic spectrum monitoring based on WSNs are necessary. To guarantee the networks running normally,network architecture of WSNs is essential. Signal enhancement and distributed cooperative detection technologies can be used to improve the accuracy of signal detection. In some special scenarios, we should take accurate distributed signal localization algorithms into account when we need to locate the illegal radio source. Spectrum scene description can be intuitive and comprehensive to help us understand the electromagnetic spectrum environment of the whole band. Spectrum big data computing could quickly and efficiently process the volume and various spectrum data transmitted from nodes in the distributed sensor networks. Pervasive computing could be used to compute the large data in the WSNs, so research on pervasive computing is necessary. Embedded networks is the fundamental of pervasive computing, hence we need to design a well embedded network for pervasive computing.Topics of interest include, but are not limited to:
Wireless sensor networks for spectrum monitoring
Signal detection and signal enhancement technology
Cooperative spectrum sensing and data transmission
Electronic compatibility for spectrum sensing and data transmission
Distributed signal localization and tracking
Software defined radio for spectrum scene description
Spectrum Data Centers and Spectrum Big Data Computing
Embedded Networks and Pervasive Computing in wireless sensor network
ORGANIZING COMMITTEE
Co-chairs
Zan Li, Xidian University, China
Junzhao du, Xidian University, China
Program Committee Members
Ai Bo, Beijing Jiaotong University, China
FeifeiGao, Tsinghua University, China
Hui Liu, Xidian University, China
Qiong Huang, South China Agricultural University, China
Jinsong Han, Xi'an Jiaotong University, China
KeweiSha, Oklahoma City University, USA
Liqiang Zhang, Indiana University South Bend, USA
Tao Gu, RMIT University, Australia
Xi Zhang, Texas A&M University
Xiaobin Wu, Nanjing University, China
Zhenjiang Li, Nanyang Technological University, Singapore
Zili Shao, The Hong Kong Polytechnic University, Hong Kong
SUBMISSION INSTRUCTIONS
Papers submitted to ESM-WSNs 2014 should be written in English conforming to the IEEE Conference Proceedings Format (8.5" x 11", Two-Column). The length of the papers should not exceed 6 pages + 2 pages for over length charges. The paper should be submitted in PDF format through the EasyChair paper submission system at the workshop website.
The accepted papers of ESM-WSNs2014 will be published by IEEE Computer Society/CS Press in IEEE proceedings(indexed by EI Compendex). Distinguished papers, after further revisions, will be published in SCI & EI indexed special issues, which will be shared by the IEEE CIT 2014 conference and its symposiums and workshops.
Submitting a paper to ESM-WSNs2014 means that, if the paper is accepted, at least one author should attend the workshop and present the paper.