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Research Articles
Adaptive Consensus Protocols for High-Throughput Decentralized Sharding in Heterogeneous Edge Networks
A Formal Verification and Empirical Latency Evaluation
Abstract
Decentralized distributed ledgers deployed across heterogeneous edge topologies frequently suffer from transaction throughput degradation caused by asynchronous validator latency and uncoordinated cross-shard communication. In this paper, we formulate an Adaptive State-Partitioned Consensus (ASPC) protocol that dynamically recalibrates shard clustering based on peer link quality and localized compute density. We establish formal safety and liveness bounds under non-synchronous network bounds and demonstrate a 3.8x throughput speedup over standard PBFT variants under peak stress conditions across a 250-node geographic testbed.
Keywords
Consensus Protocols
Edge Computing
Sharding
Byzantine Fault Tolerance
Distributed Systems
Declarations & Ethics
Funding:
Supported by European Research Council Grant (ERC-2024-StG 948210) and the UKRI Computing Initiative.
Conflicts of Interest:
The authors declare no competing financial or institutional interests.
Peer Review:
Double-blind peer reviewed by international subject specialists.
License:
Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
APA / MLA / BibTeX
Chen, et al. (2026). Adaptive Consensus Protocols for High-Throughput Decentralized Sharding in Heterogeneous Edge Networks. Journal of Advanced Computing and Applied Sciences, 4(2). https://doi.org/10.1234/jcas.2026.040201
Chen, et al. "Adaptive Consensus Protocols for High-Throughput Decentralized Sharding in Heterogeneous Edge Networks." Journal of Advanced Computing and Applied Sciences, vol. 4, no. 2, 2026. https://doi.org/10.1234/jcas.2026.040201
Chen, et al. "Adaptive Consensus Protocols for High-Throughput Decentralized Sharding in Heterogeneous Edge Networks." Journal of Advanced Computing and Applied Sciences 4, no. 2 (2026). https://doi.org/10.1234/jcas.2026.040201