Joint Channel and Routing Selection in Ad Hoc Networks: A Cross-layer Anti-jamming Decision-making Approach

The nodes and paths in Ad Hoc networks are more susceptible to external jamming due to the wireless channels. Therefore, it is crucial to monitor the network conditions in real-time and to adjust routing and transmission strategies dynamically. To address the above problems mentioned, this paper investigates the decentralized channel and routing selection strategy optimization in a multi-channel scenario, and formulates the problem as the Markov Decision Process (MDP). Moreover, a geographical position-assisted cross-layer anti-jamming optimization algorithm is proposed, enabling nodes to dynamically identify jamming via spectrum sensing and independently select reliable multi-hop paths by integrating neighbor locations. Finally, the simulation results show that the proposed algorithm exhibits reduced routing costs and superior anti-jamming capabilities compared with the benchmark approaches and exhibit the advantages of joint optimization of both the physical layer and the network layer.

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Publication Details

Published
2025-07-18
DOI
https://doi.org/10.1109/ecnct66493.2025.11172637
Primary Topic
Mobile Ad Hoc Networks
Type
article
Field-Weighted Citation Impact
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article

Joint Channel and Routing Selection in Ad Hoc Networks: A Cross-layer Anti-jamming Decision-making Approach

Jiatao Du, Zhibin Feng, Yifan Xu, Jin Dai et al.
Mobile Ad Hoc Networks
article

Joint Channel and Routing Selection in Ad Hoc Networks: A Cross-layer Anti-jamming Decision-making Approach

Jiatao Du, Zhibin Feng, Yifan Xu, Jin Dai, Miao Liu, Xu Jiang, Yujie Sun, Fei Song
article en

Abstract

The nodes and paths in Ad Hoc networks are more susceptible to external jamming due to the wireless channels. Therefore, it is crucial to monitor the network conditions in real-time and to adjust routing and transmission strategies dynamically. To address the above problems mentioned, this paper investigates the decentralized channel and routing selection strategy optimization in a multi-channel scenario, and formulates the problem as the Markov Decision Process (MDP). Moreover, a geographical position-assisted cross-layer anti-jamming optimization algorithm is proposed, enabling nodes to dynamically identify jamming via spectrum sensing and independently select reliable multi-hop paths by integrating neighbor locations. Finally, the simulation results show that the proposed algorithm exhibits reduced routing costs and superior anti-jamming capabilities compared with the benchmark approaches and exhibit the advantages of joint optimization of both the physical layer and the network layer.

Beijing Academy of Artificial Intelligence (CN), PLA Army Engineering University (CN)
Openalex Percentile: Top 70%
Mobile Ad Hoc Networks
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