Implementation and analysis of an updating data strategy on iot-waspmote gases testbed with 2.4 ghz xbee for air quality application

Battery life is a key factor in the performance of the Internet of Things (IoT) applications. The size and number of transmitted packets are responsible for most of the energy consumption in IoT applications. Therefore, controlling XBee operations (ON / OFF) based on the status of the sensed data is...

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Main Authors: Alduais, N.A.M., Abdullah, Noryusliza, Abdullah, J, Jamil, A, H. Y. Saad, Abdul-Malik
Format: Conference or Workshop Item
Language:en
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Online Access:http://eprints.uthm.edu.my/6111/1/KP%202020%20%28116%29.pdf
http://eprints.uthm.edu.my/6111/
http://10.1109/ISCAIE47305.2020.9108805
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_version_ 1833418012054519808
author Alduais, N.A.M.
Abdullah, Noryusliza
Abdullah, J
Jamil, A
H. Y. Saad, Abdul-Malik
author_facet Alduais, N.A.M.
Abdullah, Noryusliza
Abdullah, J
Jamil, A
H. Y. Saad, Abdul-Malik
author_sort Alduais, N.A.M.
building UTHM Library
collection Institutional Repository
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
continent Asia
country Malaysia
description Battery life is a key factor in the performance of the Internet of Things (IoT) applications. The size and number of transmitted packets are responsible for most of the energy consumption in IoT applications. Therefore, controlling XBee operations (ON / OFF) based on the status of the sensed data is one of the possible ways to decrease the number of messages sent by a sensor node, thereby saving power and extending the network lifetime. Hence, this paper provides an implementation and analysis of an update data strategy on loT-Waspmote Gases Testbed with 2.4 GHz XBee. The studied algorithm enables efficient data collection and dissemination (EDCD) for IoT sensor board denoted as EDCD1 and EDCD2 for sensor board with a single sensor and multiple sensors, respectively. The EDCD has been applied on loT- Waspmote gases testbed for monitoring the air quality in various locations(Areas). The experimental results indicate that the EDCD algorithm performance is affected by the type of sensor as well as the sensing area/location. Overall, EDCD algorithm showed acceptable performance for IoT-Waspmote Gases Testbed with 2.4 GHz XBee. In addition, there is no delay in receiving data from the sensor node after applying the algorithm compared to directly transmitting data
format Conference or Workshop Item
id my.uthm.eprints-6111
institution Universiti Tun Hussein Onn Malaysia
language en
record_format eprints
spelling my.uthm.eprints-61112022-01-31T06:27:53Z http://eprints.uthm.edu.my/6111/ Implementation and analysis of an updating data strategy on iot-waspmote gases testbed with 2.4 ghz xbee for air quality application Alduais, N.A.M. Abdullah, Noryusliza Abdullah, J Jamil, A H. Y. Saad, Abdul-Malik T Technology (General) TD878-894 Special types of environment, Including soil pollution, air pollution, noise pollution Battery life is a key factor in the performance of the Internet of Things (IoT) applications. The size and number of transmitted packets are responsible for most of the energy consumption in IoT applications. Therefore, controlling XBee operations (ON / OFF) based on the status of the sensed data is one of the possible ways to decrease the number of messages sent by a sensor node, thereby saving power and extending the network lifetime. Hence, this paper provides an implementation and analysis of an update data strategy on loT-Waspmote Gases Testbed with 2.4 GHz XBee. The studied algorithm enables efficient data collection and dissemination (EDCD) for IoT sensor board denoted as EDCD1 and EDCD2 for sensor board with a single sensor and multiple sensors, respectively. The EDCD has been applied on loT- Waspmote gases testbed for monitoring the air quality in various locations(Areas). The experimental results indicate that the EDCD algorithm performance is affected by the type of sensor as well as the sensing area/location. Overall, EDCD algorithm showed acceptable performance for IoT-Waspmote Gases Testbed with 2.4 GHz XBee. In addition, there is no delay in receiving data from the sensor node after applying the algorithm compared to directly transmitting data Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/6111/1/KP%202020%20%28116%29.pdf Alduais, N.A.M. and Abdullah, Noryusliza and Abdullah, J and Jamil, A and H. Y. Saad, Abdul-Malik Implementation and analysis of an updating data strategy on iot-waspmote gases testbed with 2.4 ghz xbee for air quality application. In: 2020 IEEE 10th Symposium on Computer Applications & Industrial Electronics (ISCAIE), 18-19 April 2020, Malaysia. http://10.1109/ISCAIE47305.2020.9108805
spellingShingle T Technology (General)
TD878-894 Special types of environment, Including soil pollution, air pollution, noise pollution
Alduais, N.A.M.
Abdullah, Noryusliza
Abdullah, J
Jamil, A
H. Y. Saad, Abdul-Malik
Implementation and analysis of an updating data strategy on iot-waspmote gases testbed with 2.4 ghz xbee for air quality application
title Implementation and analysis of an updating data strategy on iot-waspmote gases testbed with 2.4 ghz xbee for air quality application
title_full Implementation and analysis of an updating data strategy on iot-waspmote gases testbed with 2.4 ghz xbee for air quality application
title_fullStr Implementation and analysis of an updating data strategy on iot-waspmote gases testbed with 2.4 ghz xbee for air quality application
title_full_unstemmed Implementation and analysis of an updating data strategy on iot-waspmote gases testbed with 2.4 ghz xbee for air quality application
title_short Implementation and analysis of an updating data strategy on iot-waspmote gases testbed with 2.4 ghz xbee for air quality application
title_sort implementation and analysis of an updating data strategy on iot-waspmote gases testbed with 2.4 ghz xbee for air quality application
topic T Technology (General)
TD878-894 Special types of environment, Including soil pollution, air pollution, noise pollution
url http://eprints.uthm.edu.my/6111/1/KP%202020%20%28116%29.pdf
http://eprints.uthm.edu.my/6111/
http://10.1109/ISCAIE47305.2020.9108805
url_provider http://eprints.uthm.edu.my/