Image transmission over LoRa for mangrove monitoring
LoRa as a Low Power Wide Area Network (LPWAN) is considered as one of the future wireless communication standard for IoT Internet of Things (IoT), this because it offers features such as; long range, low cost, less power consumption which make it an optimum alternative to the current wireless net...
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my.upm.eprints.776452020-11-06T04:22:05Z http://psasir.upm.edu.my/id/eprint/77645/ Image transmission over LoRa for mangrove monitoring Jebril, Akram Hussein A. LoRa as a Low Power Wide Area Network (LPWAN) is considered as one of the future wireless communication standard for IoT Internet of Things (IoT), this because it offers features such as; long range, low cost, less power consumption which make it an optimum alternative to the current wireless networks such as; ZigBee, Wi-Fi, Bluetooth-LE, IEEE 802.15.4, Sigfox and traditional cellular technologies. LoRa can replace the current technologies and communication systems used to monitor mangrove forests in Malaysia, where it covers a 2% of the total land area. It also provides a protection for the beaches and coastlines from storms, waves, floods, and soil erosion. However, LoRa has a limited bandwidth which makes it difficult to transfer data from image sensors in mangrove forests. This thesis has a significant contribution in proving the concept of using LoRa for the first time worldwide as the wireless sensor network to monitor mangrove forests; and overcome the problem of transferring images over LoRa limited bandwidth by proposing a novel image transmission scheme. This novel scheme converts images with resolution of 160x120 pixels taken for mangrove forests to hexadecimal format in form of packets then transfer these packets over LoRa physical layer. Indoor and outdoor tests were conducted before visiting the mangrove forests to find the optimum LoRa sittings of Spreading Factor (SF), Coding Rate (CR) and preamble numbers. In addition, the measurements of Packet Loss Rate, Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) for each transferred image over LoRa were conducted to evaluate the transferred images over LoRa physical layer using the novel scheme. The positive outcome of images transmission over LoRa physical layer was used for the first time up to 7km with PSNR values between 30dB and 70 dB which indicate to higher quality of the received images,also, the project does not need to additional costs such as; building complicated infrastructures or even buying repeaters. This research proves the concept of point- to-point communication by transmitting image data over the LoRa physical layer despite its limitation in data transmission. In addition, the possibility of using LoRa as a preferred technology in terms of the long range, low cost, and lower power consumption for mangroves monitoring in Malaysian. 2019-01 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/77645/1/FK%202019%2028%20IR.pdf Jebril, Akram Hussein A. (2019) Image transmission over LoRa for mangrove monitoring. Masters thesis, Universiti Putra Malaysia. Mangrove plants Sensor networks Wireless LANs |
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Mangrove plants Sensor networks Wireless LANs Jebril, Akram Hussein A. Image transmission over LoRa for mangrove monitoring |
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LoRa as a Low Power Wide Area Network (LPWAN) is considered as one of the
future wireless communication standard for IoT Internet of Things (IoT), this because
it offers features such as; long range, low cost, less power consumption
which make it an optimum alternative to the current wireless networks such as;
ZigBee, Wi-Fi, Bluetooth-LE, IEEE 802.15.4, Sigfox and traditional cellular technologies.
LoRa can replace the current technologies and communication systems
used to monitor mangrove forests in Malaysia, where it covers a 2% of the total
land area. It also provides a protection for the beaches and coastlines from
storms, waves, floods, and soil erosion. However, LoRa has a limited bandwidth
which makes it difficult to transfer data from image sensors in mangrove forests.
This thesis has a significant contribution in proving the concept of using LoRa
for the first time worldwide as the wireless sensor network to monitor mangrove
forests; and overcome the problem of transferring images over LoRa limited
bandwidth by proposing a novel image transmission scheme. This novel scheme
converts images with resolution of 160x120 pixels taken for mangrove forests to
hexadecimal format in form of packets then transfer these packets over LoRa
physical layer. Indoor and outdoor tests were conducted before visiting the mangrove
forests to find the optimum LoRa sittings of Spreading Factor (SF), Coding
Rate (CR) and preamble numbers. In addition, the measurements of Packet Loss
Rate, Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index Measure
(SSIM) for each transferred image over LoRa were conducted to evaluate
the transferred images over LoRa physical layer using the novel scheme. The
positive outcome of images transmission over LoRa physical layer was used for
the first time up to 7km with PSNR values between 30dB and 70 dB which indicate
to higher quality of the received images,also, the project does not need
to additional costs such as; building complicated infrastructures or even buying
repeaters. This research proves the concept of point- to-point communication
by transmitting image data over the LoRa physical layer despite its limitation in data transmission. In addition, the possibility of using LoRa as a preferred technology
in terms of the long range, low cost, and lower power consumption for
mangroves monitoring in Malaysian. |
format |
Thesis |
author |
Jebril, Akram Hussein A. |
author_facet |
Jebril, Akram Hussein A. |
author_sort |
Jebril, Akram Hussein A. |
title |
Image transmission over LoRa for mangrove monitoring |
title_short |
Image transmission over LoRa for mangrove monitoring |
title_full |
Image transmission over LoRa for mangrove monitoring |
title_fullStr |
Image transmission over LoRa for mangrove monitoring |
title_full_unstemmed |
Image transmission over LoRa for mangrove monitoring |
title_sort |
image transmission over lora for mangrove monitoring |
publishDate |
2019 |
url |
http://psasir.upm.edu.my/id/eprint/77645/1/FK%202019%2028%20IR.pdf http://psasir.upm.edu.my/id/eprint/77645/ |
_version_ |
1683232223051907072 |
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13.159267 |