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| Content Provider | IET Digital Library |
|---|---|
| Author | Hua, Meng Wang, Yi Zhang, Zhengming Li, Chunguo Huang, Yongming Yang, Luxi |
| Abstract | This study investigates a novel unmanned aerial vehicle (UAV)-based wireless sensor network, where the UAV acts as a flying base station to serve multiple wireless sensor nodes (SNs). The authors goal is to maximise the system energy efficiency of the UAV while satisfying the fairness among SNs by jointly optimising the UAV trajectory and UAV time allocation. The formulated problem is shown to be a non-convex fractional optimisation problem, which is hard to tackle. To this end, they decompose the original problem into two sub-problems, and the block coordinate descent method and successive convex optimisation technique are employed to solve these two sub-problems iteratively. Specifically, in the first sub-problem, the optimal UAV time allocation is obtained by maximising the minimum achievable rate of SNs with given UAV trajectory constraints. In the second sub-problem, the UAV trajectory is achieved by minimising the energy consumption of the UAV with the given UAV time allocation. Subsequently, an iterative algorithm is proposed to optimise the time allocation and UAV trajectory alternately. Furthermore, the convergence and complexity of their proposed algorithm are provided. Numerical results show that the proposed scheme outperforms the existing benchmark strategies in terms of energy efficiency. |
| Starting Page | 972 |
| Ending Page | 980 |
| Page Count | 9 |
| ISSN | 17518628 |
| Volume Number | 13 |
| e-ISSN | 17518636 |
| Issue Number | Issue 8, May (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-com/13/8 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.5441 |
| Journal | IET Communications |
| Publisher Date | 2019-01-18 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Autonomous Aerial Vehicle Concave Programming Convex Programming Energy-efficient Optimisation Flying Base Station Formulated Problem Given UAV Time Allocation Given UAV Trajectory Constraint Iterative Method Nonconvex Fractional Optimisation Problem Novel Unmanned Aerial Vehicle-based Wireless Sensor Network Optimal UAV Time Allocation Optimisation Optimisation Technique Original Problem Radio Link And Equipment Remotely Operated Vehicle Sensor Node SNs Successive Convex Optimisation Technique System Energy Efficiency UAV-aided Wireless Sensor Network Wireless Sensor Network |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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