Abstract: In this paper the idea for a new unified wireless network architecture is
presented. The need for such a new architecture is justified and its major
characteristics are outlined. Natural development of Long Term Evolution
(LTE) beyond 4G, network convergence and/or evolution could naturally lead
the way towards such a new unified wireless architecture, but it is expected that
many of the problems of the current co-existing architectures will co-exist with
such scenarios. The proposed idea of the development of a new UnifiedVirtual
Cell Architecture (UVCA) could have the potential to overcome the problems
of the mobile wireless networks of today and through the development of a
good migration roadmap could be a faster and successful approach.
Keywords: Network Convergence, Network Architectures, Long Term
Evolution,Wireless Access.
ICT-based Remote Agro-Ecological Monitoring System – A Case Study inTaiwan doi: https://doi.org/10.13052/jconasense2246-2120.114
Cheng-Long Chuang1,2 and Joe-Air Jiang3,4,∗
1Intel Labs, Intel Corporation,
2Intel-NTU Connected Context Computing Centre, National Taiwan University,
3Department of Bio-Industrial Mechatronics Engineering, National Taiwan University,
4Education and Research Centre for Bio-Industrial Automation, National Taiwan
Abstract: [+] | Download File [ 3980KB ] | Read Article Online
Abstract: In recent years, information and communication technologies have opened
many opportunities to modern agriculture systems. Monitoring the fruit farm
is one of the potential applications that may help improving fruit farm profitability
through observing the fluctuation of the oriental fruit fly population
and environmental conditions in the field. These data can be used to provide
knowledge or warning for the farmers and government officials to accurately
respond to the variations in the field. In this study, a remote agro-ecological
monitoring system is presented to be a context-aware sensor platform to
analyse the relations between population dynamics of the flies in the field.
The system consists of three major layers, i.e., the front-end sensing layer,
the telecommunication layer, and the data collection and analysis layer. A
Global System of Mobile Communication (GSM) module is used to enhance
the ubiquitous monitoring capability of the system. The monitoring system
has been deployed to investigate the population dynamics of B. dorsalis since
August 2008. Historical sensing data is available through a web-based decision
support program built upon a database and a pest population forecast
model, so that farmers and government officials are able to receive realtime
farm status, as well as to carry out pest control program. Compared with the previously version of the system, various useful functions have been
added into the proposed system, and its accuracy has been improved when
measuring different parameters in the field. We believe that the proposed
system provides a valuable framework for farmers and pest control officials
to analyse the relation between population dynamics of the fruit fly and meteorological
events. Based on the analysis, a better insect pest risk assessment
and decision supporting system can be made as an aid to IPM programs against
B. dorsalis.
Keywords: ICT, remote monitoring, pest control, agro-ecological monitoring,
wireless sensor networks.
Abstract: Energy is a valuable resource in wireless communication, navigation and
sensor nodes. Maintenance and replacement of batteries in battery-driven
nodes may not be possible, cost-effective or suitable for many applications.
On the other hand, energy harvesting provides sustainable and independent
operation with very long life-time but usually with unregulated power
flow. The design approaches in present systems based on a regulated flow
of power from an energy storage device are not optimal for energy harvesting
nodes. This paper briefly reviews the capabilities of the present
energy harvesting technologies and some intelligent design approaches based
on unregulated supply power to energy harvesting nodes. The paper also
presents a brief review of the alternative approaches for in-body communications
with energy harvesting. The use of THz band does not seem
to be feasible because of the excessive signal attenuation in the in-body
channel. However, radio-frequency identification (RFID) with inductive
magnetic coupling looks appropriate due to the fact that the human body
behaves like free space to the magnetic field but strongly attenuates the
electric field.
Keywords: Energy harvesting, wireless sensor networks, wireless communications,
green communications, near-field communications, RFID, nanogenerators,
THz communications, biological communication channels.
Abstract: In order to collaboratively forward the Cognitive Radio (CR) signal to the
Distant CR (DCR) users, we have introduced the Distributed Beamforming
(DB) technique CR networks. However we face a practical difficulty of the
extreme narrow main beam in the pattern generated by the DB method, when
applying it to CR networks. To solve this problem, we propose a novel Nodes
Selection (NS) method based on studies of the differences in beam width of a
broadside array and an end-fire array. The proposed NS method selects those
CR nodes, which are able to form a full size end-fire array and a reduced
size broadside array. It chooses CR nodes located in the “belt†area along the
direction of the DCR user. Simulation results of the average beampattern of
our NS method show that the main beams are successfully directed towards
the DCR users and are enlarged for practical applications in CR networks.
What is more, for a CR network with a large physical size, our NS method
can widen the main beam while maintaining sufficiently low sidelobe levels
for CR transmission.
Keywords: Cognitive Radio (CR), Distributed Beamforming (DB),
Collaborative Beamforming, Cognitive Radio network, Nodes Selection (NS).
CONASENSE:Vision, Motivation and Scope doi: https://doi.org/10.13052/jconasense2246-2120.111
Ernestina Cianca1, Mauro De Sanctis1, Albena Mihovska2
and Ramjee Prasad2
1CTIF-Italy center, University of Rome Tor Vergata, via del Politecnico 1, 00133
Rome, Italy
1Center for TeleInfrastruktur (CTIF), Aalborg University, Aalborg Denmark,
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Abstract: CONASENSE stands for Communication, Navigation, Sensing and Services
and is a new scientific society encouraging cross-cutting research among these
four domains. For each domain, the paper shows examples of the interaction
with the other domains, highlighting recent advances, trends, and challenges,
importance to Future Generation Wireless and other new research areas that
arise from taking a top down approach, with the service on the top and the
available technology seen as a whole on the bottom.
Keywords: Network convergence, network architectures, navigation
systems, networked control, sensor networks, wireless access.
