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Journal of Communication, Navigation, Sensing and ServicesJournal merged with Journal of Mobile Multimedia from 2018

Editors-in-Chief:
Ernestina Cianca, University of Tor Vergata, Rome, Italy
Albena Mihovska, Aarhus University, Denmark


ISSN: 2246-2120 (Print Version),

ISSN: 2246-2139 (Online Version)
Vol: 1   Issue: 1

Published In:   January 2014

Publication Frequency: Continuous Article Publication


Search Available Volume and Issue for Journal of Communication, Navigation, Sensing and ServicesJournal merged with Journal of Mobile Multimedia from 2018


Journal Description        Editorial Foreword        Read Full Articles        Editorial Board        Subscription        Indexed

Towards an Unified Virtual Mobile Wireless Architecture

doi: https://doi.org/10.13052/jconasense2246-2120.115
Oleg Asenov1 and Vladimir Poulkov2

1The Faculty of Mathematics and Informatics, St. Kiril and St. Metodius University of Veliko Turnovo, 5003 Veliko Turnovo
2The Faculty of Telecommunications, Technical University of Sofia, Bulgaria,

Abstract: [+]    |    Download File [ 150KB ]    |   Read Article Online

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.

Wireless Sensor and Communication Nodes with Energy Harvesting

doi: https://doi.org/10.13052/jconasense2246-2120.113
Mehmet Safak

Hacettepe University, Ankara, Turkey

Abstract: [+]    |    Download File [ 416KB ]    |   Read Article Online

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.

Distributed Beamforming with Nodes Selection for Cognitive Radio Networks

doi: https://doi.org/10.13052/jconasense2246-2120.112
X.Lian, H. Nikookar and L.P. Ligthart

Faculty of Electrical Engineering, Mathematics and Computer Science, Microwave Sensing, Systems and Signals (MS3) Group, Delft University of Technology, Mekelweg 4, 2628CD Delft, The Netherlands

Abstract: [+]    |    Download File [ 2732KB ]    |   Read Article Online

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,

Abstract: [+]    |    Download File [ 950KB ]    |   Read Article Online

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.

River Publishers: Journal of Communication, Navigation, Sensing and Services<sup><font color=#f91b02>Journal merged with Journal of Mobile Multimedia from 2018</font></sup>