Abstract
The technological advancements in the field of internet of things (IoT) have paved way for the evolution of internet of vehicles (IoV), where the things are replaced with vehicles through enabling technologies such as vehicular adhoc networks (VANETs) and intelligent transportation systems (ITS).The technology of simultaneous wireless information and power transfer (SWIPT) provides potential opportunity for increasing the lifetime of the energy-autonomous nodes in vehicular networks. Moreover, the integration of SWIPT with cognitive radio sensor networks (CRSN) has been proved as a vital technique for increasing throughput and effective utilization of the spectrum.In this paper, we consider a cooperative CRSN with near field SWIPT technique for autonomous vehicles (AUV) to monitor the air quality, where the secondary user (SU) forwards and sends the information to the destination through the energy harvested from the radio frequency (RF) signal, thereby focusing towards achieving maximum throughput and also address the trade-off between performance and energy consumption. The problem is formulated using Energy Harvesting and Information Transfer(EHIT) technique and the proof-of-concept is presented based upon a small-scale hardware model to test the performance of the sensors. The results indicate that the proposed SWIPT method for energy autonomous sensors provides optimal solution and has higher performance in comparison to the state-of-art solutions. © 2019 IEEE.
Links
- https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068965443&doi=10.1109%[...]
- doi:10.1109/VTCSpring.2019.8746496
BibTeX (Download)
@inproceedings{RN16778,
title = {Performance evaluation of energy autonomous sensors for air quality monitoring in internet of vehicles},
author = {S S Anjum and R M Noor and I Ahmedy and M H Anisi and N Aghamohammadi and N B Khamis and M A Qureshi},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068965443\&doi=10.1109%2fVTCSpring.2019.8746496\&partnerID=40\&md5=e55f0a091854989436af0d5ddad43f96},
doi = {10.1109/VTCSpring.2019.8746496},
year = {2019},
date = {2019-05-01},
volume = {2019-April},
abstract = {The technological advancements in the field of internet of things (IoT) have paved way for the evolution of internet of vehicles (IoV), where the things are replaced with vehicles through enabling technologies such as vehicular adhoc networks (VANETs) and intelligent transportation systems (ITS).The technology of simultaneous wireless information and power transfer (SWIPT) provides potential opportunity for increasing the lifetime of the energy-autonomous nodes in vehicular networks. Moreover, the integration of SWIPT with cognitive radio sensor networks (CRSN) has been proved as a vital technique for increasing throughput and effective utilization of the spectrum.In this paper, we consider a cooperative CRSN with near field SWIPT technique for autonomous vehicles (AUV) to monitor the air quality, where the secondary user (SU) forwards and sends the information to the destination through the energy harvested from the radio frequency (RF) signal, thereby focusing towards achieving maximum throughput and also address the trade-off between performance and energy consumption. The problem is formulated using Energy Harvesting and Information Transfer(EHIT) technique and the proof-of-concept is presented based upon a small-scale hardware model to test the performance of the sensors. The results indicate that the proposed SWIPT method for energy autonomous sensors provides optimal solution and has higher performance in comparison to the state-of-art solutions. © 2019 IEEE.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}