-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] IEEE TETC: Special Issue on "Backscattering-based Computing with Battery-Free Units" Datum: Fri, 15 Jun 2018 12:27:10 +0200 Von: Stefano Basagni basagni@ECE.NEU.EDU Antwort an: Stefano Basagni basagni@ECE.NEU.EDU An: tccc-announce@COMSOC.ORG
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Call for papers
IEEE Transactions on Emerging Topics in Computing
Special Issue on "Backscattering-based Computing with Battery-Free Units" https://www.computer.org/cms/Computer.org/transactions/cfps/cfp_tetc_bbcbfu.... https://www.computer.org/cms/Computer.org/transactions/cfps/cfp_tetc_bbcbfu.pdf
*** DETAILS OF THE ISSUE *** ------------------------------------------ The number of Internet-of-Thing units is expected to surpass the world population by 2018. However, the growth of smart units is limited by a fundamental factor, namely, battery. The reasons are primarily twofold: First, battery energy density only increased by three times over the past 22 years, which is much slower than many other areas of computation technology (e.g., transistors in an ASIC, data rates, etc.). Second, used batteries contain harmful chemicals and generate dangerous toxic waste that has to be properly processed. For many years, researchers have been working on reducing computation and communication power consumption. Despite the remarkable advancements in energy efficient computation and networking, we are still facing poor battery life, which challenges usage of many mobile applications and makes customers unhappy. A promising idea to address the problem of battery life is backscattering-based computation and transmissions, which concerns harvesting RF energy to power a backscatter unit's operation: The backscatter unit compute data and transmits them via reflecting the RF signal. Ambient and RFID backscattering are two techniques that enable data computation and transmission on battery-free units. Traditional RFID is a widely used technology that harvests power from RF signals emitted by an RFID reader. Sensor-augmented RFID tags can be deployed in smart environments to get real-time information about the state of tagged objects. Ambient backscattering harvests power from ambient signals such as TV, cellular, and Wi-Fi transmissions, enabling the design of battery-free units that can operate outdoor. Although backscattering enables battery-free operation, mobile units can operate with a relatively small power budget, posing significant constraints regarding operation and communication solutions. The bottleneck in terms of power consumption has shifted away from communication to computation, requiring a redesign at the unit level of data acquisition, data processing, buffering, packetizing, to achieve ultra-low power computation, and at the networking level to realize efficient backscatter-based architectures. This special issue (SI) aims at inviting works from leading researchers and developers from industry and academia to present recent and trending views on all aspects of backscattering-based computation and transmission. In light of the increasing interest in these topics, this SI will focus on, but will not be limited to, the following topics of interest: · Ultra-low power computation · Backscattering-based battery free units · Architectures, protocols, and technologies for backscattering communication · MAC and routing protocols for backscattering networks · Information collection in sensor-augmented RFID systems · RFID/ambient backscattering technologies and architecture · Performance evaluation of backscattering networks · Experiments and prototypes · Applications of backscattering (e.g., sensing, imaging, localization, etc.) · Interference management and coexistence · RF energy harvesting
*** SUBMISSION GUIDELINES *** ----------------------------------------------- Submitted articles must not have been previously published or being currently under submission at any other venue. As authors, you are responsible for understanding and adhering to the journal submission guidelines, which are available at the IEEE Computer Society website: https://www.computer.org/web/publications/authors/ https://www.computer.org/web/publications/authors/. Submission are due by the indicated deadline though Manuscript Central: https://mc.manuscriptcentral.com/tetc-cs https://mc.manuscriptcentral.com/tetc-cs
*** IMPORTANT DATES *** ------------------------------------- Submission Deadline: July 1, 2018 Reviews Completed: October 1, 2018 Major Revisions Due (if Needed): November 1, 2018 Reviews of Revisions Completed (if Needed): Dec. 1, 2018 Minor Revisions Due (if Needed): January 1, 2018 Notification of Final Acceptance: March 1, 2019 Final Publication Materials Due: April 1, 2019 On-Line publication date: Second Issue of 2019
*** GUEST EDITORS *** ------------------------------------- Stefano Basagni, Northeastern University Gaia Maselli, Sapienza University fo Rome Pengyu Zhang, Stanford University
Laetus deget cui licet in diem dixisse: Vixi. -- Stefano Basagni, Ph.D. Associate Professor of Computer Engineering Dept. of Electrical and Computer Engineering 312 Dana Research Center Northeastern University 360 Huntington Ave. Boston, MA 02115 Tel. 617 373 3061, Fax 617 373 8970 E-mail: basagni@ece.neu.edu mailto:basagni@ece.neu.edu *** http://www.ece.neu.edu/faculty/basagni/ http://www.ece.neu.edu/faculty/basagni/ ***
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