The explosion of both wireless technologies and applications as well as the increasing number of radios and frequency bands available demand an understanding of in-field performance to design the next generation of wireless systems. Complex channel properties such as multipath, delay spread, and Doppler effects prevent even the most complex channel models from exactly characterizing repeatable in-situ behavior. Abstract models of devices and energy storage, as well as emerging paradigms such as energy harvesting enabled systems, make estimation of system performance and lifetime quite challenging unless supported by field experiments.
To better understand the potential of novel paradigms and ideas, it is therefore imperative to evaluate these ideas in the field via empirical measurement. While analytical and simulation-based approaches are useful, they are often limited by the simplistic modeling of the wireless protocols and devices and by the varying and error-prone wireless channel. Even slight misunderstandings can cause drastic performance differences in various research avenues from cognitive spectral sensing to spatial reuse in large-scale network planning to lifetime estimation as well as estimating the amount of tasks which can be performed by Internet-of-Things devices. As a response to these limitations, the need for experimental wireless network measurements has gained wide recognition in the networking research community.
WiNMeE 2014 is the tenth edition in the International Workshop on Wireless Network Measurements and Experimentation series that began in 2005, and is intended to bring together researchers in the field of experimental wireless networking and serve as a forum for discussing advances and challenges in experimental wireless network measurements and experimentation.
Topics of interest include, but are not limited to:
- Experience and measurements from building, designing and/or operating production and research wireless networks
- Measurement and characterization of wireless network traffic such as WLANs, cellular networks (including smartphone and mobile application traffic characteristics), wireless home networks, vehicular ad hoc networks, cyber physical and sensing systems
- Experimental validation of network simulators
- Experimental driven mobile social network and mobility models
- Measurement-based network management and troubleshooting
- Experiences and challenges with wireless measurements, including novel measurement techniques
- Methodologies for validating wireless test-bed results and improving the repeatability of tests, simplifying experiment setup and reconfiguration
- Methodologies for measuring and characterizing heterogeneous wireless networks
- Techniques and experiences with collecting, archiving, anonymizing, analyzing and sharing wireless measurement data
- Techniques and experimental results on performance measurements of cognitive radio systems, cyber physical and sensing systems, WLAN and VANET, cellular systems
- Prediction and inference of user access, demand and mobility; estimation and prediction of energy availability
- Software tools for building and/or managing wireless test-beds
- Spectrum utilization measurements techniques in spectrum sharing and cognitive radio networks
The workshop seeks novel, previously unpublished papers, which are not currently under review by another conference, workshop, or journal. All submissions should be in PDF format, written in English with a maximum paper length of six printed pages (IEEE Transactions style double-column format, 10pt font size), including figures. The paper should include a brief abstract of up to 150 words. The submission will be handled via EDAS at http://edas.info/N16027. The accepted papers will be published in the conference proceedings and will be available via the IEEE Xplore website.
Full paper due: March 1st, 2014 (extended)
Author notification: March 8th, 2014
Camera ready due: March 15th, 2014
Workshop: May 12th, 2014
Ranveer Chandra is a Senior Researcher in the Mobility & Networking Research Group at Microsoft Research. His research is focused on mobile devices, with particular emphasis on wireless communications and energy efficiency. Ranveer's research has shipped as part of multiple Microsoft products, including Windows 7, Windows 8, Visual Studio, Windows Phone, and XBOX. He is active in the networking and systems research community, and most recently served as Program Committee Chair of IEEE DySPAN 2012, and ACM MobiCom 2013. Ranveer has published more than 45 papers, and filed over 70 patents, 20 of which have been granted. His research has been cited by the popular press, such as CNET, MIT Technology Review, Scientific American, New York Times, WSJ, among others. He has won several awards, including best paper awards at ACM CoNext 2008 and ACM SIGCOMM 2009, the Microsoft Research Graduate Fellowship, the Microsoft Gold Star Award, the MIT Technology Review's Top Innovators Under 35, TR35 (2010) and Fellow in Communications, World Technology Network (2012). Ranveer has an undergraduate degree from IIT Kharagpur, India and a PhD from Cornell University.As part of his doctoral dissertation, Ranveer developed VirtualWiFi. The software has been downloaded more than 150,000 times and is among the top 5 downloaded software released by Microsoft Research. It is also shipping as a feature in Windows 7. Ranveer is also leading the white space networking project at Microsoft Research. He was invited to the FCC to present his work, and spectrum regulators from India, China, Brazil, Singapore and US (including the FCC chairman) have visited the Microsoft campus to see his deployment of the world's first urban white space network.
Joseph Camp, Southern Methodist University, USA
Chiara Petrioli, Universita' degli Studi di Roma "La Sapienza", Italy
Stefano Basagni, Northeastern University, USA
Dora Spenza, Università degli Studi di Roma "La Sapienza", Italy
Technical Program Committee
Ioannis Broustis, AT&T Labs Research
Kaushik Chowdhury, Northeastern University
Marco Fiore, National Research Council of Italy
Sung-Ju Lee, Narus, Inc.
Tommaso Melodia, State University of New York at Buffalo
Giacomo Morabito, University of Catania
Luca Mottola, Politecnico di Milano-Italy and Swedish Institute of Computer Science (SICS)
George Nychis, Adaptrum
Ramya Raghavendra, IBM Research
Ashutosh Sabharwal, Rice University
Theodoros Salonidis, IBM Research
Ivan Seskar, WINLAB, Rutgers University
Adam Wolisz, Technical University of Berlin