Enhancing Routing Protocol Resilience for Dynamic UAV Networks in Frequency-Sweeping Jamming Environments

We consider flying ad hoc networks (FANETs) operating in frequency-sweeping jamming environment, where jamming significantly impairs the performance of routing protocols, leading to unstable network communications and data loss. Currently, jamming is defended at physical and link layer by military radio stations, which focuses on restoring communication of a single link. Existing routing protocols fail to utilize valuable information from these radio stations effectively to restore a multi-hop path. To address this issue, we propose a novel routing protocol optimization method that combines spectrum awareness techniques to further mitigate the adverse effects of jammers on overall network performance. The proposed method utilizes the obtained jammer information and bit error rate to modify various parameters in the routing protocol, enabling it to adapt to jamming scenarios. We implement the optimized protocol on the EXata simulation platform. The simulation results show that, compared with the reference protocols, the proposed protocol can increase the throughput by up to 12% and improve the packet delivery ratio by up to 14% in the presence of frequency-sweeping jammers.

Authors

Institutions

Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10757721
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Routing Protocol Resilience for Dynamic UAV Networks in Frequency-Sweeping Jamming Environments

Xiaojun Zhu, Zhengrui Qin, Chao Dong, Lei Zhang et al.
Distributed Control Multi-Agent Systems
article

Enhancing Routing Protocol Resilience for Dynamic UAV Networks in Frequency-Sweeping Jamming Environments

Xiaojun Zhu, Zhengrui Qin, Chao Dong, Lei Zhang, Jinyao Sun
article en

Abstract

We consider flying ad hoc networks (FANETs) operating in frequency-sweeping jamming environment, where jamming significantly impairs the performance of routing protocols, leading to unstable network communications and data loss. Currently, jamming is defended at physical and link layer by military radio stations, which focuses on restoring communication of a single link. Existing routing protocols fail to utilize valuable information from these radio stations effectively to restore a multi-hop path. To address this issue, we propose a novel routing protocol optimization method that combines spectrum awareness techniques to further mitigate the adverse effects of jammers on overall network performance. The proposed method utilizes the obtained jammer information and bit error rate to modify various parameters in the routing protocol, enabling it to adapt to jamming scenarios. We implement the optimized protocol on the EXata simulation platform. The simulation results show that, compared with the reference protocols, the proposed protocol can increase the throughput by up to 12% and improve the packet delivery ratio by up to 14% in the presence of frequency-sweeping jammers.

Northwest Missouri State University (US), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 70%
Distributed Control Multi-Agent Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Enhancing Routing Protocol Resilience for Dynamic UAV Networks in Frequency-Sweeping Jamming Environments — Xiaojun Zhu, Zhengrui Qin, et al. · (2024) | TGRS Research Map | TGRS