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Reliable Communication Performance for Energy Harvesting Wireless Sensor Networks
Duy Tan Univ, Danang, Vietnam.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-6497-4099
VNU Univ Engn & Technol, Hanoi, Vietnam.
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2019 (English)In: 2019 IEEE 89TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-SPRING), IEEE , 2019Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we study the problem of how to provide reliable communications for energy harvesting (EH) wireless sensor network (WSN). Using the example of an autonomous quarry, where self-driving trucks autonomously collect and transport goods, there is a need for multiple wireless sensors collecting data about where and when goods can be collected, while guaranteeing reliable operation of the quarry. The vehicles transfer energy to the wireless sensors within range, forming a cluster. The sensors use this energy to transmit data to the vehicles. Finally, the vehicles relay information to an access point (AP). The AP processes the collected information and synchronize the operation of all vehicles. We propose an interference channel selection policy for the sensors-to-vehicles links and vehicles-to-AP links to improve the reliability of the communications, while enhancing the energy utilization. Accordingly, closed-form expression on how to achieve reliable communication within the considered system is derived and numerical results show that the proposed channel selection strategy not only improves the probability of achieving sufficiently reliable communication but also enhances the energy utilization.

Place, publisher, year, edition, pages
IEEE , 2019.
Series
IEEE Vehicular Technology Conference Proceedings, ISSN 1550-2252
Keywords [en]
Energy Harvesting, Wireless Sensor Networks, Interference Level, Reliable Communication Probability
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:mdh:diva-45266DOI: 10.1109/VTCSpring.2019.8746317ISI: 000482655600031Scopus ID: 2-s2.0-85068972186ISBN: 978-1-7281-1217-6 (print)OAI: oai:DiVA.org:mdh-45266DiVA, id: diva2:1352817
Conference
89th IEEE Vehicular Technology Conference (VTC Spring), APR 28-MAY 01, 2019, Kuala Lumpur, MALAYSIA
Available from: 2019-09-19 Created: 2019-09-19 Last updated: 2024-05-03Bibliographically approved

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Tran, HungUhlemann, ElisabethBalador, Ali

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