无线传感网络中最大化IPv6分组广播吞吐量的无人机悬停位置优化

IF 4.3 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Computer Communications Pub Date : 2025-07-17 DOI:10.1016/j.comcom.2025.108256

Shuwei Qiu , Haiyan Shi , Mahammad Humayoo , Bin Qiu , Jianzhong Li , Xiaoqing Dong , Yinghui Zhu , Wei Huang

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引用次数: 0

摘要

在由无人机（uav）辅助的无线供电传感器网络（WPSN）中，无人机为节点提供无线充电，以保持不间断的功能。IPv6数据包的有效传播在WPSN中对于许多物联网（IoT）应用（如智能农业）至关重要。提高无线充电效率，提高IPv6报文在WPSN中的传输速度是一个关键问题。在本文中，我们建议使用基于粒子群优化（PSO）的方法来优化无人机的放置。该方法旨在优化无人机的悬停位置，以提高充电节点的效率，最终提高网络吞吐量。我们最初的方法包括创建一种方法，通过利用来自几架无人机的联合电源，在WPSN中广播IPv6数据包。该方法利用网络编码技术来提高分组广播的可靠性。此外，我们将IPv6广播问题转换为等效的单播问题，从而导出吞吐量方程。因此，我们建立了一个以无人机位置为变量，以网络吞吐量最大化为目标函数的优化问题。提出了一种基于粒子群算法（PSO）的优化方法。仿真结果表明，在不同的参数配置下，与IFA （Improved Firefly Algorithm）、Fixed和Random解决方案相比，我们的方法提供了10.39% ~ 70.46%的吞吐量性能提升。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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UAV hovering location optimization for maximizing the throughput of IPv6 packet broadcast in Wireless Powered Sensor Network

In a Wireless Powered Sensor Network (WPSN) assisted by Unmanned Aerial Vehicles (UAVs), the UAVs provide wireless charging to the nodes in order to maintain uninterrupted functionality. Effective dissemination of IPv6 packets is essential in WPSN for many Internet of Things (IoT) applications, such as smart agriculture. Improving the efficiency of wireless charging to increase the transmission speed of IPv6 packets in WPSN is a critical problem. In this paper, we suggest using a Particle Swarm Optimization (PSO)-based approach to optimize the placement of UAVs. This method aims to optimize the places where UAVs hover in order to enhance the efficiency of charging nodes and ultimately boost network throughput. Our initial approach involves creating a method for broadcasting IPv6 packets in a WPSN by utilizing the combined power supply from several UAVs. This approach utilizes network coding technologies to improve the reliability of packet broadcasting. In addition, we transform the problem of IPv6 broadcasting into a unicast equivalent, resulting in a derived equation for throughput. Consequently, we establish an optimization problem where the positions of UAVs serve as variables, with the goal of maximizing network throughput as the objective function. An approach based on Particle Swarm Optimization (PSO) is developed to handle this optimization problem. The simulation results demonstrate that our method provides a throughput performance enhancement ranging from 10.39% to 70.46% compared to IFA (Improved Firefly Algorithm), Fixed, and Random solutions under various parameter configurations.

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来源期刊

Computer Communications 工程技术-电信学

CiteScore

14.10

自引率

5.00%

发文量

397

审稿时长

66 days

期刊介绍： Computer and Communications networks are key infrastructures of the information society with high socio-economic value as they contribute to the correct operations of many critical services (from healthcare to finance and transportation). Internet is the core of today''s computer-communication infrastructures. This has transformed the Internet, from a robust network for data transfer between computers, to a global, content-rich, communication and information system where contents are increasingly generated by the users, and distributed according to human social relations. Next-generation network technologies, architectures and protocols are therefore required to overcome the limitations of the legacy Internet and add new capabilities and services. The future Internet should be ubiquitous, secure, resilient, and closer to human communication paradigms. Computer Communications is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and survey papers covering all aspects of future computer communication networks (on all layers, except the physical layer), with a special attention to the evolution of the Internet architecture, protocols, services, and applications.