Data Acquisition Control for UAV-Enabled Wireless Rechargeable Sensor Networks
In the realm of Internet of Things (IoT), wireless sensor networks (WSNs) have been the subject of ongoing research into the use of energy harvesting to capture ambient energy, and wireless power transfer (WPT) via a mobile charger to overcome the energy limitations of sensors. Moreover, to mitigate...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/7/3582 |
| _version_ | 1797607030251323392 |
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| author | Ikjune Yoon |
| author_facet | Ikjune Yoon |
| author_sort | Ikjune Yoon |
| collection | DOAJ |
| description | In the realm of Internet of Things (IoT), wireless sensor networks (WSNs) have been the subject of ongoing research into the use of energy harvesting to capture ambient energy, and wireless power transfer (WPT) via a mobile charger to overcome the energy limitations of sensors. Moreover, to mitigate energy imbalance and reduce the number of hops, strategies have been developed to leverage cars or unmanned aerial vehicles (UAVs) as mobile sinks. The primary objective of this work is to increase network lifetime by reducing energy consumption of hotspot nodes and increasing the amount of data acquired from all sensors in an environment that combines the methods mentioned above.To achieve this objective, the proposed method involves developing multiple minimum depth trees (MDTs) for all nodes, considering the energy of the UAV and sensor nodes. Parent nodes prevent their own energy depletion and ensure data transmission without imbalance by adaptively controlling the data sensed at the nodes and their child nodes. Consequently, the energy depletion of nodes in hotspots is prevented, more sensory data is acquired, and balanced data collection from all nodes is achieved. Simulation results demonstrate that the proposed scheme outperforms other state-of-the-art methods in terms of reduced energy depletion, increased network connectivity, and the amount of data collected at the sink node. This scheme will be applied to applications that collect environmental data outdoors, such as climate measurement, to collect data uniformly and increase the lifespan of the network, thereby reducing network maintenance costs while collecting data effectively. |
| first_indexed | 2024-03-11T05:24:33Z |
| format | Article |
| id | doaj.art-27c7142c441f4237bdd8b0fd83c56e14 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T05:24:33Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-27c7142c441f4237bdd8b0fd83c56e142023-11-17T17:34:42ZengMDPI AGSensors1424-82202023-03-01237358210.3390/s23073582Data Acquisition Control for UAV-Enabled Wireless Rechargeable Sensor NetworksIkjune Yoon0Division of AI Computer Science and Engineering, Kyonggi University, Suwon-si 16227, Republic of KoreaIn the realm of Internet of Things (IoT), wireless sensor networks (WSNs) have been the subject of ongoing research into the use of energy harvesting to capture ambient energy, and wireless power transfer (WPT) via a mobile charger to overcome the energy limitations of sensors. Moreover, to mitigate energy imbalance and reduce the number of hops, strategies have been developed to leverage cars or unmanned aerial vehicles (UAVs) as mobile sinks. The primary objective of this work is to increase network lifetime by reducing energy consumption of hotspot nodes and increasing the amount of data acquired from all sensors in an environment that combines the methods mentioned above.To achieve this objective, the proposed method involves developing multiple minimum depth trees (MDTs) for all nodes, considering the energy of the UAV and sensor nodes. Parent nodes prevent their own energy depletion and ensure data transmission without imbalance by adaptively controlling the data sensed at the nodes and their child nodes. Consequently, the energy depletion of nodes in hotspots is prevented, more sensory data is acquired, and balanced data collection from all nodes is achieved. Simulation results demonstrate that the proposed scheme outperforms other state-of-the-art methods in terms of reduced energy depletion, increased network connectivity, and the amount of data collected at the sink node. This scheme will be applied to applications that collect environmental data outdoors, such as climate measurement, to collect data uniformly and increase the lifespan of the network, thereby reducing network maintenance costs while collecting data effectively.https://www.mdpi.com/1424-8220/23/7/3582wireless sensor networkmobile sinksensing ratewireless power transferunmanned aerial vehicleenergy aware |
| spellingShingle | Ikjune Yoon Data Acquisition Control for UAV-Enabled Wireless Rechargeable Sensor Networks Sensors wireless sensor network mobile sink sensing rate wireless power transfer unmanned aerial vehicle energy aware |
| title | Data Acquisition Control for UAV-Enabled Wireless Rechargeable Sensor Networks |
| title_full | Data Acquisition Control for UAV-Enabled Wireless Rechargeable Sensor Networks |
| title_fullStr | Data Acquisition Control for UAV-Enabled Wireless Rechargeable Sensor Networks |
| title_full_unstemmed | Data Acquisition Control for UAV-Enabled Wireless Rechargeable Sensor Networks |
| title_short | Data Acquisition Control for UAV-Enabled Wireless Rechargeable Sensor Networks |
| title_sort | data acquisition control for uav enabled wireless rechargeable sensor networks |
| topic | wireless sensor network mobile sink sensing rate wireless power transfer unmanned aerial vehicle energy aware |
| url | https://www.mdpi.com/1424-8220/23/7/3582 |
| work_keys_str_mv | AT ikjuneyoon dataacquisitioncontrolforuavenabledwirelessrechargeablesensornetworks |