Energy Efficient Estimation in Wireless Sensor Network With Unmanned Aerial Vehicle
Distributed estimation is a typical application of wireless sensor network (WSN), where a set of sensor nodes (SNs) collaboratively estimate some parameters of interest from noisy measurements. Recently, unmanned aerial vehicle (UAV) enabled WSN has attracted significant interest since the UAV can c...
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8715512/ |
| _version_ | 1818427917192921088 |
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| author | Cheng Zhan Guo Yao |
| author_facet | Cheng Zhan Guo Yao |
| author_sort | Cheng Zhan |
| collection | DOAJ |
| description | Distributed estimation is a typical application of wireless sensor network (WSN), where a set of sensor nodes (SNs) collaboratively estimate some parameters of interest from noisy measurements. Recently, unmanned aerial vehicle (UAV) enabled WSN has attracted significant interest since the UAV can collect data energy-efficiently due to its high mobility. In this paper, we consider the joint optimization of UAV trajectory design and SNs' transmission bits allocation for estimating an unknown parameter in UAV-enabled WSN, and the objective is to minimize the total energy consumption of all SNs under the constraint that the mean square error (MSE) of estimation is below a target threshold. The joint optimization problem is formulated with mixed-integer non-convex programming, which is difficult to solve in general. As such, an efficient iterative algorithm is proposed to solve it by applying the block coordinate descent and successive convex optimization techniques. A low-complexity and systematic initialization scheme is also proposed for the trajectory design and transmission bits allocation based on the trade-off structure on the number of visited SNs for estimation. The extensive simulation results are provided to demonstrate the significant performance gains in terms of total energy consumption of all SNs as compared with other benchmark schemes. |
| first_indexed | 2024-12-14T14:53:20Z |
| format | Article |
| id | doaj.art-66c715ff93e04337aa8593571196fee7 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T14:53:20Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-66c715ff93e04337aa8593571196fee72022-12-21T22:57:03ZengIEEEIEEE Access2169-35362019-01-017635196353010.1109/ACCESS.2019.29169948715512Energy Efficient Estimation in Wireless Sensor Network With Unmanned Aerial VehicleCheng Zhan0https://orcid.org/0000-0002-0971-6748Guo Yao1School of Computer and Information Science, Southwest University, Chongqing, ChinaSchool of Computer and Information Science, Southwest University, Chongqing, ChinaDistributed estimation is a typical application of wireless sensor network (WSN), where a set of sensor nodes (SNs) collaboratively estimate some parameters of interest from noisy measurements. Recently, unmanned aerial vehicle (UAV) enabled WSN has attracted significant interest since the UAV can collect data energy-efficiently due to its high mobility. In this paper, we consider the joint optimization of UAV trajectory design and SNs' transmission bits allocation for estimating an unknown parameter in UAV-enabled WSN, and the objective is to minimize the total energy consumption of all SNs under the constraint that the mean square error (MSE) of estimation is below a target threshold. The joint optimization problem is formulated with mixed-integer non-convex programming, which is difficult to solve in general. As such, an efficient iterative algorithm is proposed to solve it by applying the block coordinate descent and successive convex optimization techniques. A low-complexity and systematic initialization scheme is also proposed for the trajectory design and transmission bits allocation based on the trade-off structure on the number of visited SNs for estimation. The extensive simulation results are provided to demonstrate the significant performance gains in terms of total energy consumption of all SNs as compared with other benchmark schemes.https://ieeexplore.ieee.org/document/8715512/Energy efficientdistributed estimationunmanned aerial vehiclewireless sensor network |
| spellingShingle | Cheng Zhan Guo Yao Energy Efficient Estimation in Wireless Sensor Network With Unmanned Aerial Vehicle IEEE Access Energy efficient distributed estimation unmanned aerial vehicle wireless sensor network |
| title | Energy Efficient Estimation in Wireless Sensor Network With Unmanned Aerial Vehicle |
| title_full | Energy Efficient Estimation in Wireless Sensor Network With Unmanned Aerial Vehicle |
| title_fullStr | Energy Efficient Estimation in Wireless Sensor Network With Unmanned Aerial Vehicle |
| title_full_unstemmed | Energy Efficient Estimation in Wireless Sensor Network With Unmanned Aerial Vehicle |
| title_short | Energy Efficient Estimation in Wireless Sensor Network With Unmanned Aerial Vehicle |
| title_sort | energy efficient estimation in wireless sensor network with unmanned aerial vehicle |
| topic | Energy efficient distributed estimation unmanned aerial vehicle wireless sensor network |
| url | https://ieeexplore.ieee.org/document/8715512/ |
| work_keys_str_mv | AT chengzhan energyefficientestimationinwirelesssensornetworkwithunmannedaerialvehicle AT guoyao energyefficientestimationinwirelesssensornetworkwithunmannedaerialvehicle |