[CFP] (Deadline Approaching: 01 May 2017) IEEE Communications Magazine FT on Amateur Drone Surveillance: Applications, Architectures, Enabling Technologies, and Public Safety Issues (Impact Factor = 5.12)

CALL FOR PAPERS - IEEE Communications Magazine Feature Topic on Amateur
Drone Surveillance: Applications, Architectures, Enabling Technologies, and
Public Safety Issues

http://www.comsoc.org/commag/cfp/amateur-drone-surveillance-applications-
architectures-enabling-technologies-and-public-safety

INTRODUCTION
---------------------
The advancement in communication, networking, computation, and sensing
technologies has attracted researchers, hobbyist, and investors to deploy
mini-drones, officially called unmanned air vehicles (UAVs), due to their
enormous applications. Drones have boundless viable applications as well
due to its small size and capability to fly without an on-board pilot such
as in agriculture, photography, surveillance, and numerous public services.
The use of drones for achieving high speed wireless communication is one of
the most significant applications for next generation communication system
(5G).  Indeed, drone-based communication network offers encouraging
solution to provide wireless connectivity for devices without
infrastructure coverage due to e.g., severe shadowing by urban or
mountainous terrain, or damage to the communication infrastructure caused
by natural disasters. But its deployment poses several public safety (PS)
threats to the national institutions such as atomic plants, historical
places, and president houses because of its ability to carry the explosive
and other destructive chemicals.

In order to cope with these security threats, surveillance drones (SDrs)
deployment is required for surveillance, hunting, and jamming of the
amateur drone (ADr). The main motivation of deploying SDrs is to keep eye
on the ADr which can lead to serious disasters in case no precautionary
measures are taken on time. The SDr architecture should have the capability
to self-configure in case of emergency situation without the help of the
central ground control station (GCS). The increasingly usage of SDr in
surveillance of ADr possess some challenges such as robust detection,
tracking, intruder localization, and jamming. The accuracy of detection is
a basic requirement of the system. In general, the accurate detection is
time-consuming. In fact, a precise moving object detection method makes
tracking more reliable and faster, and supports correct classification,
which is quite important for SDr to be successful. The existing motion
detection algorithms has the problems of computational cost and less
robustness because of highly changing extrinsic and intrinsic camera
parameters such as pan, tilt, translation, rotation, and zooming, so most
accurate algorithms are required which can take care of these parameters.
Moreover, the machine learning and pattern recognition algorithms are
required to detect the ADr by using the characteristics of the
electromagnetic waves, sound, images that can efficiently detect the ADr.

The next major step after detecting the ADr is its tracking and the
localization of the ADr intruder. To accurately estimate the position of
the ADr and its intruder, the 3D position estimation algorithms are desired
to accurately determine the position of the ADr. The FANET architecture
based deployment and utilization of the commercial frequency bands for SDr
also possess the challenges of interference management with the existing
system. So, proper spectrum management schemes are desired which can take
care of the dynamically changing environment while allocating the spectrum.
The last important step after detection, localization, and tracking is the
Jamming and hunting of the ADr. For example, the jamming technologies such
as by using excess power and global positioning services (GPS) spoofing can
generate the high interference to the SDr signal. So, Jamming signal power
control algorithm needs to be designed to avoid surrounding SDr jamming.
After jamming the ADr, hunting of the ADr should be done by taking care of
security of the surrounding environment. That is, ADr in the air should be
landed outside the highly sensitive areas. Thus, to get this goal
context-aware path-design algorithms are required to safely land the hunted
ADr. Hence, the technologies like frequency band recognition, power
control, Jamming and hunting are required to efficiently detect, control,
jam, and hunt the ADr.

The goal of the proposed feature topic (FT) is to publish more
comprehensive original research for all the readers of the magazine
regardless of their specialty. The main objective of this FT is to bring
most recent advances in amateur drone surveillance network architecture and
technologies. Moreover, its goal is to address the challenges related to
public safety issues posed by the flying of drone in the No-fly zone.
Original research papers are to be solicited in topics of interest
including, but not limited to, the following themes on applications,
architectures, enabling technologies, and public safety issues with amateur
drone surveillance.

- Innovative P2P and FANET cross-layer architectures and protocols for FANET
- Radio resource management schemes for surveillance drone
- Power control schemes for surveillance drone
- Spectrum sharing and future spectrum requirements for surveillance drones
- Routing and MAC protocols for drones
- Cross layer protocols for drones
- Smart and time-efficient trajectory generation schemes
- Surveillance drone control parameters optimization schemes
- Pattern recognition based amateur drone tracking
- Machine learning algorithms to discriminate amateur drone with moving
object
- Sound and electromagnetic waves detection schemes
- Thermal imaging based amateur drone detection scheme
- Coverage extension schemes for amateur drone detection
- Signal strength, inertial sensor, and cell-tower based Positioning schemes
- Active and passive object tracking schemes
- Amateur drone detection and tracking using holographic radars
- Context-aware localization schemes
- Energy efficient localization of amateur drone
- Frequency band recognition technologies for amateur drone jamming
- Location detection technologies and protocols
- 3D location detection protocols
- Disaster resilient location detection protocols
- Robust location accuracy technology development
- Multi-hop and relay-based communications
- Drone classification and identification using data mining techniques
- Interdisciplinary research for catching amateur drone
- Testbeds and experimental results of surveillance drone


SUBMISSIONS
--------------------
Articles should be tutorial in nature and written in a style comprehensible
and accessible to readers outside the specialty of the article. Complete
guidelines for prospective authors can be found at
http://www.comsoc.org/commag/paper-submission-guidelines. The guest editors
reserve the right to reject papers they unanimously deem to be either out
of the scope of this Feature Topic or otherwise extremely unlikely to be
accepted after a peer review process.

It is important to note that IEEE Communications Magazine strongly limits
mathematical content, and the number of figures and tables. Mathematical
equations should not be used (in justified cases up to three simple
equations are allowed). Article length (introduction through conclusions,
excluding figures, tables and their captions) should not exceed 4,500
words. Figures and tables should be limited to a combined total of six (6).
The number of archival references is limited to fifteen (15). All
references to online sources (website URLs, web-posted papers and reports)
are required to show an “Accessed on” date. All articles must be submitted
through the IEEE Manuscript Central site (http://mc.manuscriptcentral.
com/commag-ieee) to the "January 2018 / Amateur Drone Surveillance"
category by the submission deadline according to the following schedule:


IMPORTANT DATES
----------------------------
Manuscript Submission Deadline: May 1, 2017
Decision Notification: September 1, 2017
Final Manuscript Due Date: October 15, 2017
Publication Date: January 2018


GUEST EDITORS
-----------------------
Zeeshan Kaleem (Corresponding Managing Guest Editor)
COMSATS Institute of Information Technology, Pakistan
Email: [email protected]

Mubashir Husain Rehmani
COMSATS Institute of Information Technology, Pakistan
Email: [email protected]

Ejaz Ahmed
National Institute of Standards and Technology, Gaithersburg, USA
Email:[email protected]

Abbas Jamalipour
University of Sydney, Australia
Email: [email protected]

Joel J. P. C. Rodrigues
National Institute of Telecommunications (Inatel), Brazil
Email: [email protected]

Hassna Moustafa
Intel Corporation, USA
Email: [email protected]

Wael Guibene
Intel Labs Europe, Ireland
Email: [email protected]



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Mubashir Husain Rehmani, Ph.D., Senior Member IEEE
Editor, IEEE Communications Surveys and Tutorials
Associate Editor, IEEE Communications Magazine
Associate Editor, IEEE Access
Associate Editor, Elsevier CAEE and JNCA Journals
Associate Editor, Springer Wireless Networks
Associate Editor, AHSWN Journal and JCN Journal
Assistant Professor, Department of Electrical Engineering
COMSATS Institute of Information Technology, Wah Cantt, Pakistan
Tel: +92-333-3052764 <+92%20333%203052764>
https://sites.google.com/site/mshrehmani/
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