A Cross-Layer Routing Algorithm Based on Global Link Quality for Flying Ad Hoc Networks
In recent years, Flying Ad Hoc Networks (FANETs) have increasingly been utilized in various civil and military applications. Traditional routing protocols rely solely on network layer information and cannot adapt to the high mobility of nodes in such networks, resulting in highly dynamic topology, frequent link interruptions, and intensified channel contention, while existing cross-layer routing protocols usually adjust routing strategies based on local information at the MAC layer or physical layer. To address these issues, the named data network (NDN) architecture is content-centric and has better high mobility support capabilities than TCP/IP. This paper models the channel contention problem and noise interference in wireless networks based on the global information of the network. First, by considering the hidden terminal scenario, a two-dimensional Markov model is used to model the collision probability of each node in the network. On this basis, this paper analyzes the packet error rate caused by noise interference in end-to-end path, and then propose the C-NLSR adaptive routing algorithm based on Named-Data Link State Routing (NLSR) protocol in Named Data Network (NDN) within the ns-3 simulator and implements the proposed algorithm. Simulations are conducted to analyze routing protocol overhead and network performance under different loads and node mobility conditions. The results demonstrate that, compared with the traditional NLSR algorithm, the C-NLSR algorithm can reduce packet delay and packet loss rate while improving system throughput in scenarios with high network load and high node mobility.
Authors
- Zhoujie Liu
- Yu Zhang (ORCID: https://orcid.org/0000-0001-8456-7335)
- Wang Wang (ORCID: https://orcid.org/0000-0001-9093-412X)
- Zhenghan Li
Institutions
- Beijing Institute of Technology (CN)
Publication Details
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1109/isceic63613.2024.10810143
- Citations
- 2
- Primary Topic
- UAV Applications and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 2.60