GPSR-CB：一种基于多层级骨干无人机的跨层路由算法

IF 4.4 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Ad Hoc Networks Pub Date : 2025-03-15 DOI:10.1016/j.adhoc.2025.103828

Mai Cuong Tho , Le Huu Binh , Tu T. Vo

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引用次数: 0

摘要

本文提出了一种跨层的GPSR- cb方法，用于提高具有多级骨干无人机的飞行自组织网络（fanet）的贪婪周边无状态路由（GPSR）协议的贪婪转发性能。跨层设计结合了自适应传输功率控制、链路质量监测来评估和选择可靠链路，以及基于ack的反馈机制来解决基于位置的路由中的路由空白挑战。具体来说，GPSR-CB利用多级骨干无人机来支持贪婪转发模式，而功率控制、链路质量评估和基于ack的反馈有助于减轻网络拓扑的变化、不稳定的链路和不可靠的信道，特别是在有噪声和干扰的FANET环境中。通过使用omnet++进行综合仿真，我们证明GPSR-CB在分组传输率、网络吞吐量和功耗方面优于比较协议。

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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GPSR-CB: A novel routing algorithm for FANET using cross-layer models in combination with multi-level backbone UAV

This paper presents GPSR-CB, a cross-layer approach to enhance the performance of greedy forwarding in the Greedy Perimeter Stateless Routing (GPSR) protocol for flying ad-hoc networks (FANETs) with multi-level backbone unmanned aerial vehicle (UAV). The cross-layer design combines adaptive transmission power control, link quality monitoring to assess and select reliable links, and ACK-based feedback mechanisms to address routing-void challenges in location-based routing. Specifically, GPSR-CB leverages a multi-level backbone UAV to support the greedy forwarding mode, whereas power control, link quality assessment, and ACK-based feedback help mitigate the changes in network topology, unstable links, and unreliable channels, particularly in FANET environments with noise and interference. Through comprehensive simulations conducted using OMNeT++, we demonstrate that GPSR-CB outperforms the compared protocols in terms of packet delivery ratio, network throughput, and power consumption.

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来源期刊

Ad Hoc Networks 工程技术-电信学

CiteScore

10.20

自引率

4.20%

发文量

131

审稿时长

4.8 months

期刊介绍： The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to: Mobile and Wireless Ad Hoc Networks Sensor Networks Wireless Local and Personal Area Networks Home Networks Ad Hoc Networks of Autonomous Intelligent Systems Novel Architectures for Ad Hoc and Sensor Networks Self-organizing Network Architectures and Protocols Transport Layer Protocols Routing protocols (unicast, multicast, geocast, etc.) Media Access Control Techniques Error Control Schemes Power-Aware, Low-Power and Energy-Efficient Designs Synchronization and Scheduling Issues Mobility Management Mobility-Tolerant Communication Protocols Location Tracking and Location-based Services Resource and Information Management Security and Fault-Tolerance Issues Hardware and Software Platforms, Systems, and Testbeds Experimental and Prototype Results Quality-of-Service Issues Cross-Layer Interactions Scalability Issues Performance Analysis and Simulation of Protocols.