Wireless IoT sensors data collection reward maximization by leveraging multiple energy- and storage-constrained UAVs

Article Computer Science, Information Systems

Collecting large volume data from wireless sensor network by drone

Rone Ilidio da Silva et al.

Summary: This study focuses on using a drone as a mobile sink for data collection, proposing two GRASP-based heuristics to define drone tours for data collection. The results show that the proposed methods outperform the greed algorithm in scenarios where sensor nodes store a large amount of data.

AD HOC NETWORKS (2023)

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Article Computer Science, Information Systems

A Realistic Model to Support Rescue Operations After an Earthquake via UAVs

Tiziana Calamoneri et al.

Summary: This paper addresses the problem of using a fleet of UAVs to direct earthquake rescue teams quickly and effectively. By considering cooperation between UAVs and real-life issues, the paper proposes a solution to optimize the coordination and flight of UAVs through mathematical modeling and heuristics, resulting in improved rescue speed and efficacy.

IEEE ACCESS (2022)

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Article Computer Science, Information Systems

On the Scheduling of Conflictual Deliveries in a last-mile delivery scenario with truck-carried drones

Francesco Betti Sorbelli et al.

Summary: The paper investigates the cooperation between a truck and multiple drones in the last-mile package delivery scenario, presenting the Scheduling Conflictual Deliveries Problem (SCDP). The truck transports a fleet of drones from the main depot for package delivery. Each delivery is associated with the energy cost, reward, and interval along the truck's route. The objective of the SCDP is to find a scheduling for the drones that maximizes the overall reward while considering the battery capacity and non-intersecting delivery intervals. The paper proposes an Integer Linear Programming (ILP) formulation, optimal algorithm for single drone case, and approximation algorithms for both single and multiple drones cases. Extensive performance comparisons are conducted on synthetic datasets.

PERVASIVE AND MOBILE COMPUTING (2022)

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Article Engineering, Civil

A Novel UAV-Enabled Data Collection Scheme for Intelligent Transportation System Through UAV Speed Control

Xiong Li et al.

Summary: The paper introduces a UAV Speed Control based Fairness Data Collection (USCFDC) scheme. It proposes two key methods: controlling the flight speed of the UAV and maximizing the amount of data collected from each node. These methods improve the fairness of data collection, while also optimizing energy consumption and flight time.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)

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Article Engineering, Electrical & Electronic

UAV-Aided Data Collection for Information Freshness in Wireless Sensor Networks

Juan Liu et al.

Summary: This work investigates the UAV-enabled data collection problem for high information freshness in wireless sensor networks, formulating two optimization problems to minimize the maximal and average Age of Information (AoI) of Sensor Nodes (SNs). It proposes an iterative SN association and trajectory planning policy to seek age-optimal solutions, striking a balance between SNs' uploading time and UAV's flight time through optimized clustering weight.

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (2021)

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Article Computer Science, Information Systems

Energy-Efficient and Fast Data Collection in UAV-Aided Wireless Sensor Networks for Hilly Terrains

Rezoan Ahmed Nazib et al.

Summary: The study presents an energy-efficient and fast data collection scheme for hilly areas using UAV-aided WSNs. By grouping sensors with a distributed clustering algorithm, optimizing UAV position with a modified tabu search algorithm, and solving the traveling salesman problem with a modified genetic algorithm, fast data collection is achieved. The proposed scheme outperforms conventional methods in terms of energy consumption, scalability, control overhead, delay, and load balancing based on simulation results.

IEEE ACCESS (2021)

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