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Chemical Characterization and Source Apportionment of PM2.5 in Rabigh, Saudi Arabia
Robotic Wireless Sensor Networks
In this chapter, we present a literature survey of an emerging, cutting-edge,
and multi-disciplinary field of research at the intersection of Robotics and
Wireless Sensor Networks (WSN) which we refer to as Robotic Wireless Sensor
Networks (RWSN). We define a RWSN as an autonomous networked multi-robot system
that aims to achieve certain sensing goals while meeting and maintaining
certain communication performance requirements, through cooperative control,
learning and adaptation. While both of the component areas, i.e., Robotics and
WSN, are very well-known and well-explored, there exist a whole set of new
opportunities and research directions at the intersection of these two fields
which are relatively or even completely unexplored. One such example would be
the use of a set of robotic routers to set up a temporary communication path
between a sender and a receiver that uses the controlled mobility to the
advantage of packet routing. We find that there exist only a limited number of
articles to be directly categorized as RWSN related works whereas there exist a
range of articles in the robotics and the WSN literature that are also relevant
to this new field of research. To connect the dots, we first identify the core
problems and research trends related to RWSN such as connectivity,
localization, routing, and robust flow of information. Next, we classify the
existing research on RWSN as well as the relevant state-of-the-arts from
robotics and WSN community according to the problems and trends identified in
the first step. Lastly, we analyze what is missing in the existing literature,
and identify topics that require more research attention in the future
Communication- and position-aware reconfigurable route optimization in large-scale mobile sensor networks
Image overlay surgery based on augmented reality : a systematic review
Acknowledgements We thank the staff of the Medical Library of the University of Aberdeen for their advice and Prof. Jennifer Cleland and Dr Jenny Gregory for discussion and support. This work was funded by the Roland Sutton Academic Trust (0053/R/17) and an Elphinstone PhD Scholarship from the University of Aberdeen.Postprin
Estimating long-run equilibrium real exchange rates: short-lived shocks with long-lived impacts on Pakistan
Demo: Experimentation in controlled and operational LTE settings with FLEX-MONROE
This demo paper presents FLEX-MONROE, a platform that facilitates better understanding of current LTE Mobile Broadband (MBB) networks and enables performance improvements by allowing experimentation with controllable LTE parameters. The platform enables investigating impact of low-level network parameter tweaks in LTE infrastructure on the application performance. We argue that FLEX-MONROE is crucial to provide guidelines on improving application performance both in the current and future MBB networks. © 2017 Copyright held by the owner/author(s)
FLEX-MONROE: A unified platform for experiments under controlled and operational LTE settings
This paper presents FLEX-MONROE, a unique platform that facilitates achieving a thorough understanding of LTE networks, one that captures the status of current operational MBB networks and that also enables LTE performance improvements by allowing experimentation in an environment with controllable LTE parameters. Using this platform, we propose to investigate how variations in the LTE network parameters in uence the network characteristics, which, in turn, translate to application performance metrics that represent the end-user experience. We argue that the FLEXMONROE platform is crucial to understand, validate and ultimately improve how current operational MBB networks perform, towards providing guidelines for designing future 5G architectures. Furthermore, understanding the e ects of low-level tweaks in network parameters in the LTE infrastructure on the application performance is critical to provide guidelines on how to improve the application performance in the current but also future MBB networks. © 2017 ACM