Throughput maximization of UAV networks

W Xu, Y Sun, R Zou, W Liang, Q Xia… - IEEE/ACM …, 2021 - ieeexplore.ieee.org
In this paper we study the deployment of multiple unmanned aerial vehicles (UAVs) to form a
temporal UAV network for the provisioning of emergent communications to affected people …

Minimizing mission completion time of UAVs by jointly optimizing the flight and data collection trajectory in UAV-enabled WSNs

M Li, S He, H Li - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been widely used to collect data from ground nodes
(GNs) in various applications because of their flexibility and mobility. Some emergency …

Minimizing the deployment cost of UAVs for delay-sensitive data collection in IoT networks

W Xu, T Xiao, J Zhang, W Liang, Z Xu… - IEEE/ACM …, 2021 - ieeexplore.ieee.org
In this paper, we study the deployment of Unmanned Aerial Vehicles (UAVs) to collect data
from IoT devices, by finding a data collection tour for each UAV. To ensure the 'freshness' of …

Minimizing the number of deployed UAVs for delay-bounded data collection of IoT devices

J Zhang, Z Li, W Xu, J Peng, W Liang… - … -IEEE Conference on …, 2021 - ieeexplore.ieee.org
In this paper, we study the deployment of Unmanned Aerial Vehicles (UAVs) to collect data
from IoT devices, by finding the data collection tour of each UAV. To ensure thefreshness' of …

Minimizing the longest tour time among a fleet of UAVs for disaster area surveillance

Q Guo, J Peng, W Xu, W Liang, X Jia… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
In this paper, we study the employment of multiple Unmanned Aerial Vehicles (UAVs) to
monitor Points of Interests (PoIs) in a disaster area, eg, collapsed buildings after an …

Approximation algorithms for the generalized team orienteering problem and its applications

W Xu, W Liang, Z Xu, J Peng, D Peng… - IEEE/ACM …, 2020 - ieeexplore.ieee.org
In this article we study a generalized team orienteering problem (GTOP), which is to find
service paths for multiple homogeneous vehicles in a network such that the profit sum of …

Reward maximization for disaster zone monitoring with heterogeneous uavs

W Xu, C Wang, H Xie, W Liang, H Dai… - IEEE/ACM …, 2023 - ieeexplore.ieee.org
In this paper, we study the deployment of heterogeneous UAVs to monitor Points of Interest
(PoIs) in a disaster zone, where a PoI may represent a school building or an office building …

Heuristics and Learning Models for Dubins MinMax Traveling Salesman Problem

A Nayak, S Rathinam - Sensors, 2023 - mdpi.com
This paper addresses a MinMax variant of the Dubins multiple traveling salesman problem
(mTSP). This routing problem arises naturally in mission planning applications involving …

An approximation algorithm for the h-hop independently submodular maximization problem and its applications

W Xu, H Xie, C Wang, W Liang, X Jia… - IEEE/ACM …, 2022 - ieeexplore.ieee.org
This study is motivated by the maximum connected coverage problem (MCCP), which is to
deploy a connected UAV network with given UAVs in the top of a disaster area such that the …

Dynamic power distribution controlling for directional chargers

Y Ma, D Wu, J Gao, W Sun, J Yang… - IEEE INFOCOM 2024 …, 2024 - ieeexplore.ieee.org
Recently, deploying static chargers to construct timely and robust Wireless Rechargeable
Sensor Networks (WRSNs) has become an important research issue for solving the limited …