Rechargeable Multi-UAV Aided Seamless Coverage for QoS-Guaranteed IoT Networks

Due to their high flexibility, high maneuverability, and line-of-sight (LOS) predominant channel, unmanned aerial vehicles (UAVs) serving as flying base stations have received a lot of interest in emerging Internet of Things (IoT) networks. This article studies the energy-efficient cooperative strategy of rechargeable multi-UAVs for providing seamless coverage and long-term information services for IoT nodes. Considering the limited cruising duration of the UAV, multiple rechargeable UAVs are capable of constructing a closed chain for the sake of alternately supporting IoT nodes. Moreover, a joint IoT node assignment and UAV configuration optimization problem is proposed in order to maximize the energy efficiency of the system. Since the proposed problem is a mixed-integer nonconvex problem, we divide it into three subproblems, namely, node assignment scheduling, UAV trajectory planning, and transmit power control. By exploiting sequential convex optimization techniques, we reformulate the nonconvex subproblems into three convex optimization problems which can be solved within the polynomial time. A block coordinate descent-based iterative algorithm is proposed for solving these energy-efficiency oriented subproblems. Finally, the simulation results corroborate the effectiveness of our proposed method.

[1]  Xianbin Wang,et al.  UAV-Enabled Spatial Data Sampling in Large-Scale IoT Systems Using Denoising Autoencoder Neural Network , 2019, IEEE Internet of Things Journal.

[2]  Xin Yuan,et al.  Machine Learning Aided Load Balance Routing Scheme Considering Queue Utilization , 2019, IEEE Transactions on Vehicular Technology.

[3]  Halim Yanikomeroglu,et al.  3-D Placement of an Unmanned Aerial Vehicle Base Station for Maximum Coverage of Users With Different QoS Requirements , 2017, IEEE Wireless Communications Letters.

[4]  Zhu Han,et al.  Capsule Network Assisted IoT Traffic Classification Mechanism for Smart Cities , 2019, IEEE Internet of Things Journal.

[5]  Ryu Miura,et al.  A Wireless Relay Network Based on Unmanned Aircraft System With Rate Optimization , 2016, IEEE Transactions on Wireless Communications.

[6]  Khaled Ben Letaief,et al.  Beyond Empirical Models: Pattern Formation Driven Placement of UAV Base Stations , 2017, IEEE Transactions on Wireless Communications.

[7]  Walid Saad,et al.  Wireless Communication Using Unmanned Aerial Vehicles (UAVs): Optimal Transport Theory for Hover Time Optimization , 2017, IEEE Transactions on Wireless Communications.

[8]  Zhu Han,et al.  Taking Drones to the Next Level: Cooperative Distributed Unmanned-Aerial-Vehicular Networks for Small and Mini Drones , 2017, IEEE Vehicular Technology Magazine.

[9]  Yunfei Chen,et al.  UAV-Relaying-Assisted Secure Transmission With Caching , 2019, IEEE Transactions on Communications.

[10]  Walid Saad,et al.  Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs , 2015, IEEE Transactions on Wireless Communications.

[11]  Mehdi Bennis,et al.  UAV-Assisted Heterogeneous Networks for Capacity Enhancement , 2016, IEEE Communications Letters.

[12]  Joonhyuk Kang,et al.  Mobile Edge Computing via a UAV-Mounted Cloudlet: Optimization of Bit Allocation and Path Planning , 2016, IEEE Transactions on Vehicular Technology.

[13]  Kandeepan Sithamparanathan,et al.  Optimal LAP Altitude for Maximum Coverage , 2014, IEEE Wireless Communications Letters.

[14]  Fumiyuki Adachi,et al.  Transceiver Design and Multihop D2D for UAV IoT Coverage in Disasters , 2019, IEEE Internet of Things Journal.

[15]  Chunxiao Jiang,et al.  Joint UAV Hovering Altitude and Power Control for Space-Air-Ground IoT Networks , 2019, IEEE Internet of Things Journal.

[16]  Rui Zhang,et al.  Spectrum Sharing and Cyclical Multiple Access in UAV-Aided Cellular Offloading , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[17]  Victor C. M. Leung,et al.  UAV Trajectory Optimization for Data Offloading at the Edge of Multiple Cells , 2018, IEEE Transactions on Vehicular Technology.

[18]  Guoru Ding,et al.  Maximization of Data Dissemination in UAV-Supported Internet of Things , 2019, IEEE Wireless Communications Letters.

[19]  Paul de Kerret,et al.  Trajectory Optimization for Autonomous Flying Base Station via Reinforcement Learning , 2018, 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[20]  Mohsen Guizani,et al.  Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications , 2015, IEEE Communications Surveys & Tutorials.

[21]  Shuowen Zhang,et al.  Joint Altitude and Beamwidth Optimization for UAV-Enabled Multiuser Communications , 2017, IEEE Communications Letters.

[22]  Halim Yanikomeroglu,et al.  3-D Placement of an Unmanned Aerial Vehicle Base Station (UAV-BS) for Energy-Efficient Maximal Coverage , 2017, IEEE Wireless Communications Letters.

[23]  Qingqing Wu,et al.  Joint Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks , 2017, IEEE Transactions on Wireless Communications.

[24]  Jie Xu,et al.  UAV-Enabled Wireless Power Transfer: Trajectory Design and Energy Optimization , 2017, IEEE Transactions on Wireless Communications.

[25]  Bin Jiang,et al.  Multimedia Data Throughput Maximization in Internet-of-Things System Based on Optimization of Cache-Enabled UAV , 2019, IEEE Internet of Things Journal.

[26]  Jiajia Liu,et al.  Stochastic Geometric Analysis of Multiple Unmanned Aerial Vehicle-Assisted Communications Over Internet of Things , 2019, IEEE Internet of Things Journal.

[27]  Haipeng Yao,et al.  NetworkAI: An Intelligent Network Architecture for Self-Learning Control Strategies in Software Defined Networks , 2018, IEEE Internet of Things Journal.

[28]  Haipeng Yao,et al.  The Space-Terrestrial Integrated Network: An Overview , 2018, IEEE Communications Magazine.

[29]  Weidang Lu,et al.  UAV-Assisted Emergency Networks in Disasters , 2019, IEEE Wireless Communications.

[30]  Rui Zhang,et al.  Energy-Efficient UAV Communication With Trajectory Optimization , 2016, IEEE Transactions on Wireless Communications.

[31]  Mehdi Bennis,et al.  Drone Small Cells in the Clouds: Design, Deployment and Performance Analysis , 2014, GLOBECOM 2014.

[32]  Rui Zhang,et al.  Throughput Maximization for UAV-Enabled Mobile Relaying Systems , 2016, IEEE Transactions on Communications.

[33]  Jingwei Zhang,et al.  Spectrum and energy efficiency maximization in UAV-enabled mobile relaying , 2017, 2017 IEEE International Conference on Communications (ICC).

[34]  Xin Wang,et al.  Energy-Efficient Cooperative Relaying for Unmanned Aerial Vehicles , 2016, IEEE Transactions on Mobile Computing.

[35]  Rui Zhang,et al.  Placement Optimization of UAV-Mounted Mobile Base Stations , 2016, IEEE Communications Letters.

[36]  Zhangdui Zhong,et al.  Throughput maximization for wireless powered communication , 2017, 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC).

[37]  Song Guo,et al.  RDAM: A Reinforcement Learning Based Dynamic Attribute Matrix Representation for Virtual Network Embedding , 2021, IEEE Transactions on Emerging Topics in Computing.

[38]  Bo Hu,et al.  Energy Efficient Placement of a Drone Base Station for Minimum Required Transmit Power , 2020, IEEE Wireless Communications Letters.