Energy Consumption Minimization in Unmanned Aerial Vehicle-Enabled Secure Wireless Sensor Networks
In wireless sensor networks (WSNs), unmanned aerial vehicles (UAVs) are considered an effective data collection tool. In this paper, we investigate the energy-efficient data collection problem in a UAV-enabled secure WSN without knowing the instantaneous channel state information of the eavesdropper...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/23/9411 |
| _version_ | 1797399549262692352 |
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| author | Xufei Ding Wen Tian Guangjie Liu Xiaopeng Ji |
| author_facet | Xufei Ding Wen Tian Guangjie Liu Xiaopeng Ji |
| author_sort | Xufei Ding |
| collection | DOAJ |
| description | In wireless sensor networks (WSNs), unmanned aerial vehicles (UAVs) are considered an effective data collection tool. In this paper, we investigate the energy-efficient data collection problem in a UAV-enabled secure WSN without knowing the instantaneous channel state information of the eavesdropper (Eve). Specifically, the UAV collected the information from all the wireless sensors at the scheduled time and forward it to the fusion center while Eve tries to eavesdrop on this confidential information from the UAV. To surmount this intractable and convoluted mixed-integer non-convex problem, we propose an efficient iterative optimization algorithm using the block coordinate descent (BCD) method to minimize the maximum energy consumption of the ground sensor nodes (GSNs) under the constraints of secrecy outage probability (SOP), connection outage probability (COP), minimum secure data, information causality, and UAV trajectory. Numerical results demonstrate the superiority of the algorithm we proposed in energy consumption and secrecy rate compared with other schemes. |
| first_indexed | 2024-03-09T01:42:47Z |
| format | Article |
| id | doaj.art-25c2be63b64d42dcaf9c0eba374c640d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T01:42:47Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-25c2be63b64d42dcaf9c0eba374c640d2023-12-08T15:25:53ZengMDPI AGSensors1424-82202023-11-012323941110.3390/s23239411Energy Consumption Minimization in Unmanned Aerial Vehicle-Enabled Secure Wireless Sensor NetworksXufei Ding0Wen Tian1Guangjie Liu2Xiaopeng Ji3School of Electronics and Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaSchool of Electronics and Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaSchool of Electronics and Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaSchool of Electronics and Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaIn wireless sensor networks (WSNs), unmanned aerial vehicles (UAVs) are considered an effective data collection tool. In this paper, we investigate the energy-efficient data collection problem in a UAV-enabled secure WSN without knowing the instantaneous channel state information of the eavesdropper (Eve). Specifically, the UAV collected the information from all the wireless sensors at the scheduled time and forward it to the fusion center while Eve tries to eavesdrop on this confidential information from the UAV. To surmount this intractable and convoluted mixed-integer non-convex problem, we propose an efficient iterative optimization algorithm using the block coordinate descent (BCD) method to minimize the maximum energy consumption of the ground sensor nodes (GSNs) under the constraints of secrecy outage probability (SOP), connection outage probability (COP), minimum secure data, information causality, and UAV trajectory. Numerical results demonstrate the superiority of the algorithm we proposed in energy consumption and secrecy rate compared with other schemes.https://www.mdpi.com/1424-8220/23/23/9411unmanned aerial vehicle (UAV)wireless sensor network (WSN)data collectiontrajectory optimizationenergy minimization |
| spellingShingle | Xufei Ding Wen Tian Guangjie Liu Xiaopeng Ji Energy Consumption Minimization in Unmanned Aerial Vehicle-Enabled Secure Wireless Sensor Networks Sensors unmanned aerial vehicle (UAV) wireless sensor network (WSN) data collection trajectory optimization energy minimization |
| title | Energy Consumption Minimization in Unmanned Aerial Vehicle-Enabled Secure Wireless Sensor Networks |
| title_full | Energy Consumption Minimization in Unmanned Aerial Vehicle-Enabled Secure Wireless Sensor Networks |
| title_fullStr | Energy Consumption Minimization in Unmanned Aerial Vehicle-Enabled Secure Wireless Sensor Networks |
| title_full_unstemmed | Energy Consumption Minimization in Unmanned Aerial Vehicle-Enabled Secure Wireless Sensor Networks |
| title_short | Energy Consumption Minimization in Unmanned Aerial Vehicle-Enabled Secure Wireless Sensor Networks |
| title_sort | energy consumption minimization in unmanned aerial vehicle enabled secure wireless sensor networks |
| topic | unmanned aerial vehicle (UAV) wireless sensor network (WSN) data collection trajectory optimization energy minimization |
| url | https://www.mdpi.com/1424-8220/23/23/9411 |
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