Data collection using unmanned aerial vehicles for internet of things platforms
In many of the Internet of Things (IoT) applications, a network of sensors that are wirelessly connected is vital because it provides a better picture of remotely sensed environments. However, traditional network data collection consumes a high amount of energy because of data packets that need to b...
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| Format: | Article |
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Elsevier Ltd.
2019
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| _version_ | 1796864750842281984 |
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| author | Goudarzi, Shidrokh Kama, Nazri Anisi, Mohammad Hossein Zeadally, Sherali Mumtaz, Shahid |
| author_facet | Goudarzi, Shidrokh Kama, Nazri Anisi, Mohammad Hossein Zeadally, Sherali Mumtaz, Shahid |
| author_sort | Goudarzi, Shidrokh |
| collection | ePrints |
| description | In many of the Internet of Things (IoT) applications, a network of sensors that are wirelessly connected is vital because it provides a better picture of remotely sensed environments. However, traditional network data collection consumes a high amount of energy because of data packets that need to be routed on a hop-by-hop basis to the base station. To alleviate this problem, Unmanned Aerial Vehicles (UAV) have been used to travel over the sensed environment to collect data. The time and motion constraints of UAVs mean that they require the shortest and smoothest paths to address these constraints. So, the shortest path is planned based on Travelling Sales Problem (TSP), and to smoothen the path, we used Bezier curves to convert paths that are flyable. The proposed algorithm exhibits faster data collection in comparison with other solutions, while achieving a high delivery rate of packets and a low energy usage. |
| first_indexed | 2024-03-05T20:46:31Z |
| format | Article |
| id | utm.eprints-89045 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:46:31Z |
| publishDate | 2019 |
| publisher | Elsevier Ltd. |
| record_format | dspace |
| spelling | utm.eprints-890452021-01-26T08:41:47Z http://eprints.utm.my/89045/ Data collection using unmanned aerial vehicles for internet of things platforms Goudarzi, Shidrokh Kama, Nazri Anisi, Mohammad Hossein Zeadally, Sherali Mumtaz, Shahid QA75 Electronic computers. Computer science In many of the Internet of Things (IoT) applications, a network of sensors that are wirelessly connected is vital because it provides a better picture of remotely sensed environments. However, traditional network data collection consumes a high amount of energy because of data packets that need to be routed on a hop-by-hop basis to the base station. To alleviate this problem, Unmanned Aerial Vehicles (UAV) have been used to travel over the sensed environment to collect data. The time and motion constraints of UAVs mean that they require the shortest and smoothest paths to address these constraints. So, the shortest path is planned based on Travelling Sales Problem (TSP), and to smoothen the path, we used Bezier curves to convert paths that are flyable. The proposed algorithm exhibits faster data collection in comparison with other solutions, while achieving a high delivery rate of packets and a low energy usage. Elsevier Ltd. 2019-05 Article PeerReviewed Goudarzi, Shidrokh and Kama, Nazri and Anisi, Mohammad Hossein and Zeadally, Sherali and Mumtaz, Shahid (2019) Data collection using unmanned aerial vehicles for internet of things platforms. Computers and Electrical Engineering, 75 . pp. 1-15. ISSN 0045-7906 http://dx.doi.org/10.1016/j.compeleceng.2019.01.028 DOI:10.1016/j.compeleceng.2019.01.028 |
| spellingShingle | QA75 Electronic computers. Computer science Goudarzi, Shidrokh Kama, Nazri Anisi, Mohammad Hossein Zeadally, Sherali Mumtaz, Shahid Data collection using unmanned aerial vehicles for internet of things platforms |
| title | Data collection using unmanned aerial vehicles for internet of things platforms |
| title_full | Data collection using unmanned aerial vehicles for internet of things platforms |
| title_fullStr | Data collection using unmanned aerial vehicles for internet of things platforms |
| title_full_unstemmed | Data collection using unmanned aerial vehicles for internet of things platforms |
| title_short | Data collection using unmanned aerial vehicles for internet of things platforms |
| title_sort | data collection using unmanned aerial vehicles for internet of things platforms |
| topic | QA75 Electronic computers. Computer science |
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