Vehicle-Based Relay Assistance for Opportunistic Crowdsensing over Narrowband IoT (NB-IoT)

The Internet of Things (IoT) undergoes a fundamental transformation by augmenting its conventional sensor network deployments with more advanced and mobile devices, such as connected and self-driving cars. This fusion of embedded and automotive domains promises to deliver unprecedented mutual benefits, where vehicles will receive timely updates from their proximate sensors while assisting them in delivering their sensory data to the remote network infrastructure. In this paper, we put forward the vision of opportunistic crowdsensing applications, in which the ubiquitous deployments of low-cost and battery-constrained IoT sensors take advantage of more capable and energy-Abundant vehicle-mounted mobile relays. In particular, we consider the use of the emerging narrowband IoT radio technology recently ratified by 3GPP and offering efficient means for underlying wireless connectivity. Our rigorous mathematical analysis supported with comprehensive system-level evaluations reveals the effects of vehicle-based relays on the important metrics of interest, such as connection reliability, transmission latency, and communication energy efficiency. These systematic findings advocate for an extensive utilization of vehicular relays as part of the next-generation IoT ecosystem. © 2014 IEEE.

Publisher
Institute of Electrical and Electronics Engineers Inc.
Number of issue
5
Language
English
Pages
3710-3723
Status
Published
Number
7857676
Volume
5
Year
2018
Organizations
  • 1 Department of Electronics and Communications Engineering, Tampere University of Technology, Tampere, FI-33720, Finland
  • 2 Department of Applied Probability and Informatics, Peoples' Friendship University of Russia (RUDN University), Moscow, 117198, Russian Federation
Keywords
Mathematical analysis; mobile vehicle-based relays; narrowband Internet of Things (IoT); opportunistic crowdsensing; system-level evaluations
Date of creation
04.02.2019
Date of change
04.02.2019
Short link
https://repository.rudn.ru/en/records/article/record/36297/
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