Energy-Efficient Data Collection in UAV Enabled Wireless Sensor Network

By Cheng Zhan, Yong Zeng, Rui Zhang. IEEE Wireless Communications Letters, 2017

645 citations recorded by the source corpus.

In wireless sensor networks, utilizing the unmanned aerial vehicle (UAV) as a mobile data collector for the sensor nodes (SNs) is an energy-efficient technique to prolong the network lifetime. In this letter, considering a general fading channel model for the SN-UAV links, we jointly optimize the SNs’ wake-up schedule and UAV’s trajectory to minimize the maximum energy consumption of all SNs, while ensuring that the required amount of data is collected reliably from each SN. We formulate our design as a mixed-integer non-convex optimization problem. By applying the successive convex optimization technique, an efficient iterative algorithm is proposed to find a sub-optimal solution. Numerical results show that the proposed scheme achieves significant network energy saving as compared to benchmark schemes.

Subfields: Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/670f313246b21c6f5fa9558b6b559f7fb086aa30

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Citations in the corpus

Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges (2018, neutral): “In [243], the authors jointly optimize the sensor nodes wake-up schedule and UAV’s tra-”
Joint Offloading and Trajectory Design for UAV-Enabled Mobile Edge Computing Systems (2019, methodology): “In [24], UAV flies to collect the required data reliably from sensor nodes with minimum energy consumption.”
Holistic Network Virtualization and Pervasive Network Intelligence for 6G (2023, background): “Data collection is a classic research problem widely investigated in WSNs [203] and UAV networks [204], and these works focus on optimizing either the reliability of data collection or the amount of collected data.”
Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities (2019, neutral): “In addition to cooperation and integration of drones and WSN, authors in [56] considered the communication links between drones and WSN to optimize scheduling and drone trajectory for minimizing the energy consumption in the WSN during data collection.”
Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond (2019, methodology): “In [144], the authors studied the UAV-enabled data collection to minimize the maximum energy consumption of all sensor nodes via jointly optimizing the UAV trajectory and the wake-up schedule of the sensor nodes.”
UAV assistance paradigm: State-of-the-art in applications and challenges (2020, methodology): “[154] Single UAV/Mobile Multiple sensors Large area Optimizing the UAV’s trajectory and the wake-up schedule to reduce the energy consumption Efficiently saved significant energy of both sensors and UAV, while guaranteeing that a maximum of data is collected from each sensor.”
AoI-Minimal Trajectory Planning and Data Collection in UAV-Assisted Wireless Powered IoT Networks (2020, background): “In [17], the SNs’ mechanism selection was studied to enhance reliable and energy-efficient data collection, where the UAV”
Trajectory Design for Completion Time Minimization in UAV-Enabled Multicasting (2018, methodology): “of the GTs sequentially so as to shorten their link distance for more energy-efficient data gathering [20], [22].”
Cellular-Enabled UAV Communication: A Connectivity-Constrained Trajectory Optimization Perspective (2018, methodology): “In [78], a WSN with a UAV serving as a mobile data collector was considered, where the maximum energy consumption among all”
Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks (2019, background): “2927313 data collection [9]–[12], device-to-device communication networks [13], wireless power transfer networks [14] and caching networks [15].”
A Comprehensive Overview on 5G-and-Beyond Networks With UAVs: From Communications to Sensing and Intelligence (2020, background): “age, a UAV can serve as a sink node to collect information data from the sensors [191].”
Energy Tradeoff in Ground-to-UAV Communication via Trajectory Design (2017, methodology): “For instance, prior works [12]–[15] have studied the energy minimization of the UAVs and/or GTs in various U2G/G2U communication systems.”
Cellular UAV-to-X Communications: Design and Optimization for Multi-UAV Networks (2018, methodology): “In [19], the UAV was proposed to work as a mobile BS which collected data from fixed sensor nodes on the ground.”
UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices (2020, methodology): “The authors of [11] optimized the UAV’s trajectory and sensors’ wake-up schedule to minimize the maximum energy consumption of all sensors to increase the network lifetime.”
Energy Minimization for Wireless Communication With Rotary-Wing UAV (2018, methodology): “For example, a UAV as a mobile relay or data collector can fly closer to its associated GNs for communication to improve the overall spectrum efficiency [24] and/or save the communication energy of GNs [27].”
UAV-Assisted Data Collection for Internet of Things: A Survey (2022, methodology): “[36] considered the general fading channel model between UAV and sensors and jointly optimized the sensors’ wake-up schedule and trajectory of UAV with the goal of minimizing the maximum energy consumption of all sensors.”