Topology Data Synchronization Based on Improved CRDTs for Dynamic Multi-UAV Networks

Dynamic multi-UAV networks demand seamless topological data synchronization to enable coordination among UAVs in volatile environments with frequent UAV movements, joins and departures, and concurrent updates. Conflict-free replicated data types (CRDTs) allow coordination-free replication with strong eventual consistency (SEC), yet existing CRDTs either replicate an entire state or ignore topology changes altogether, leading to unnecessary communication/computation/memory overhead. Here, we introduce Topology-based Chunked CRDT (TC-CRDT), a topology-aware CRDT-based synchronization model which partitions global topology into synchronizable chunks based on level hierarchy and parent–child relationships. TC-CRDT then propagates only affected chunks during topology changes. We also introduce conflict-resolving variant of TC-CRDT (TC-CRDT-CR) which exploits version metadata, detects concurrent updates and applies deterministic merging rules to resolve conflicts without central coordination. We evaluate our model against state-based and delta-based CRDTs under increasing network sizes, topology change frequency and conflict rate generated in drone networks through simulations. Results indicate: TC-CRDT provides lowest synchronization latency under various conditions, performance improved by 3.12–28.21% compared to the baseline, and TC-CRDT-CR achieves a 72.73–97.66% improvement in conflict resolution time compared to existing baseline models under highly dynamic multi-drone operating scenarios and guarantees replica convergence under high concurrency scenarios.

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Publication Details

Journal
Drones
Published
2026-10-30
DOI
https://doi.org/10.3390/drones10110817
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
0.00

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article

Topology Data Synchronization Based on Improved CRDTs for Dynamic Multi-UAV Networks

Qingquan Feng, Liang Wu, Sheng Yu, Xianqiang Zhu et al.
4 links
Drones
Distributed systems and fault tolerance
article

Topology Data Synchronization Based on Improved CRDTs for Dynamic Multi-UAV Networks

Qingquan Feng, Liang Wu, Sheng Yu, Xianqiang Zhu, Cheng Zhu, Yan Li, Lailong Luo
article en

Abstract

Dynamic multi-UAV networks demand seamless topological data synchronization to enable coordination among UAVs in volatile environments with frequent UAV movements, joins and departures, and concurrent updates. Conflict-free replicated data types (CRDTs) allow coordination-free replication with strong eventual consistency (SEC), yet existing CRDTs either replicate an entire state or ignore topology changes altogether, leading to unnecessary communication/computation/memory overhead. Here, we introduce Topology-based Chunked CRDT (TC-CRDT), a topology-aware CRDT-based synchronization model which partitions global topology into synchronizable chunks based on level hierarchy and parent–child relationships. TC-CRDT then propagates only affected chunks during topology changes. We also introduce conflict-resolving variant of TC-CRDT (TC-CRDT-CR) which exploits version metadata, detects concurrent updates and applies deterministic merging rules to resolve conflicts without central coordination. We evaluate our model against state-based and delta-based CRDTs under increasing network sizes, topology change frequency and conflict rate generated in drone networks through simulations. Results indicate: TC-CRDT provides lowest synchronization latency under various conditions, performance improved by 3.12–28.21% compared to the baseline, and TC-CRDT-CR achieves a 72.73–97.66% improvement in conflict resolution time compared to existing baseline models under highly dynamic multi-drone operating scenarios and guarantees replica convergence under high concurrency scenarios.

DronesVol. 10(11)
National University of Defense Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Distributed systems and fault tolerance
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