Evidence map›Paper›PMID 42076405›Full record

ArticleSensors (Basel, Switzerland)2026

AT-BSS: A Broker Selection Strategy for Efficient Cross-Shard Processing in Sharded IoT-Blockchain Systems.

Yue Su, Yang Xiang, Kien Nguyen, Hiroo Sekiya

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yue SuGraduate School of Science and Engineering, Chiba University, Chiba 263-8522, Japan.ORCID 0000-0002-8813-4198
Yang XiangGraduate School of Science and Engineering, Chiba University, Chiba 263-8522, Japan.ORCID 0009-0001-7401-9519
Kien NguyenGraduate School of Science and Engineering, Chiba University, Chiba 263-8522, Japan.ORCID 0000-0003-0400-3084
Hiroo SekiyaGraduate School of Science and Engineering, Chiba University, Chiba 263-8522, Japan.ORCID 0000-0003-3557-1463

Funding

Japan Science and Technology Agency JPMJFS2107Japan Society for the Promotion of Science 20H0417
6 · The paper itself

Abstract

The deep integration of the Internet of Things (IoT) and blockchain technology enables emerging applications in multi-party collaboration and trusted data sharing. However, the scalability constraints of blockchain networks remain a major bottleneck when handling high-frequency interactions in IoT-blockchain systems. Sharding addresses this challenge by partitioning the blockchain network into parallel sub-networks. Nevertheless, it introduces significant coordination overhead for cross-shard transactions. Among mitigation strategies, Broker-based mechanisms (e.g., BrokerChain) have attracted increasing attention for their efficiency in handling cross-shard communication by reducing verification overhead and communication latency. Despite these advantages, existing research typically treats the Broker group as a fixed configuration, neglecting the impact of Broker selection on system performance. To bridge this gap, this paper proposes the Accumulative Activity-Temporal Liveness Broker Selection Strategy (

Indexed as

blockchain shardingBroker mechanismhigh performance blockchain systemIoT–blockchain

Identifiers

PMID42076405
PMCPMC13119810

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.