
Reducing blockchain latency makes time‑sensitive IoT applications—such as smart‑city control and industrial monitoring—feasible, strengthening security and operational efficiency across growing edge ecosystems.
The convergence of billions of sensors, actuators and edge devices has turned the Internet of Things into a critical infrastructure for sectors ranging from manufacturing to healthcare. While blockchain offers immutable ledgers and decentralized trust, its traditional peer‑to‑peer designs were built for financial networks, not for millisecond‑scale decision making. Researchers have identified network topology as the hidden bottleneck: redundant paths cause exponential message duplication, inflating propagation delay and exhausting limited bandwidth on constrained devices. Addressing this structural inefficiency is essential if blockchain is to support latency‑sensitive IoT workloads such as autonomous vehicle coordination or real‑time energy grid balancing.
The Chiba University team responded with Dual Perigee, a lightweight peer‑selection protocol that continuously evaluates neighbors based on transaction and block delivery speed. By assigning dynamic scores and pruning slow connections, the network self‑optimizes into a high‑throughput configuration without any central coordinator. In a 50‑node simulated IoT testbed, the algorithm reduced block‑related latency by 48.54 % compared with the default Ethereum gossip protocol and beat the earlier Perigee approach by more than 23 %. Crucially, the method relies only on passive observations already available to the node, keeping CPU and energy consumption flat.
The performance gains unlock practical use cases that were previously out of reach for blockchain‑enabled IoT, including smart‑city traffic management, industrial predictive maintenance, and secure health‑data exchange. Because Dual Perigee imposes no extra hardware requirements, it can be retrofitted into existing edge platforms, accelerating adoption across heterogeneous ecosystems. Industry analysts predict that latency‑aware peer selection will become a standard design primitive as regulators push for transparent, tamper‑proof data pipelines. Future work may extend the algorithm to multi‑layer networks and integrate machine‑learning predictors, further tightening the feedback loop between data generation and consensus.
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