UAV-Enabled IoT Networks: Architecture, Opportunities, and Challenges

Al-Ahmed, Shahriar Abdullah; Ahmed, Tanveer; Zhu, Yingbo; Malaolu, Obabiolorunkosi Olaoluwapo; Shakir, Muhammad Zeeshan

doi:10.1007/978-3-030-51473-0_14

Cited by 2 publications

(1 citation statement)

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“…Additionally, this paper discusses the challenges and issues that need to be addressed for the successful deployment and operation of UAV-enabled IoT networks, including energy efficiency, connectivity, security, privacy, and regulatory considerations. The contribution of this paper lies in providing valuable insights into the architecture, opportunities, and challenges associated with UAV-enabled IoT networks, paving the way for future research and development in this emerging field [14][15][16]. This paper focuses on a practical energy consumption model for UAVs and aims to optimize the energy allocation and transmission policies to maximize the overall network performance.…”

Section: Introductionmentioning

confidence: 99%

Coverage Strategy for Small-Cell UAV-Based Networks in IoT Environment

Aoueileyine,

Allani,

Bouallegue

et al. 2023

Sensors

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In wireless communication, small cells are low-powered cellular base stations that can be used to enhance the coverage and capacity of wireless networks in areas where traditional cell towers may not be practical or cost-effective. Unmanned aerial vehicles (UAVs) can be used to quickly deploy and position small cells in areas that are difficult to access or where traditional infrastructure is not feasible. UAVs are deployed by telecommunication service providers to provide aerial network access in remote rural areas, disaster-affected areas, or massive-attendance events. In this paper, we focus on the scheduling of beaconing periods as an efficient means of energy consumption optimization. The conducted study provides a sub-modular game perspective of the problem and investigates its structural properties. We also provide a learning algorithm that ensures convergence of the considered UAV network to a Nash equilibrium operating point. Finally, we conduct extensive numerical investigations to assist our claims about the energy and data rate efficiency of the strategic beaconing policy (at Nash equilibrium).

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Section: Introductionmentioning

confidence: 99%

Coverage Strategy for Small-Cell UAV-Based Networks in IoT Environment

Aoueileyine,

Allani,

Bouallegue

et al. 2023

Sensors

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Optimizing UAV-IoT Network Integration: A Scalable Multi-Objective Communication Framework

Kaur,

Arya,

Singh

2024

Eng. Technol. Appl. Sci. Res.

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In UAV-IoT systems, trajectory planning is crucial for maintaining effective communication, coordination, and energy efficiency. This challenge is further compounded when UAVs need to coordinate with IoT devices and maintain continuous communication. Existing approaches struggle with limited scalability and inefficient energy management in UAV-supported IoT networks, leading to increased latency and reduced data throughput as network size expands. This work introduces an energy-efficient framework using a multi-objective PathFinder algorithm designed to simultaneously handle transmission coordination between drones and IoT devices. The proposed approach facilitates collaborative decision-making for route planning and resource allocation by utilizing the Collaborative Index, which measures cooperative behavior among network nodes, emphasizing key node cooperativeness parameters. Furthermore, a multi-objective fitness function was constructed for effective path planning using the Collaboration Index of nodes in the path and the QoS of the path. To validate the efficacy of the proposed model, a series of simulations were conducted focusing on key performance indicators such as energy consumption, data delay, and task completion rates against existing state-of-the-art methods.

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UAV-Enabled IoT Networks: Architecture, Opportunities, and Challenges

Cited by 2 publications

References 71 publications

Coverage Strategy for Small-Cell UAV-Based Networks in IoT Environment

Coverage Strategy for Small-Cell UAV-Based Networks in IoT Environment

Optimizing UAV-IoT Network Integration: A Scalable Multi-Objective Communication Framework

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