What question did this study set out to answer?

To develop a distributed intelligence and blockchain-based collaborative framework that enhances energy efficiency, timeliness, and data privacy in resource-constrained IoMT systems.

August 16, 2026Scientific ReportsOpen Access

Blockchain-enabled intelligent model for energy-constrained IoMT networks with privacy-preserving

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Authors

MAMenwa Alshammeri KHKhalid Haseeb MHMamoona Humayun

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Overview

Simulation study demonstrates enhanced energy efficiency and security in IoMT networks using a blockchain-agent framework, indicating improved reliability for real-time healthcare monitoring.

Key Points

To develop a distributed intelligence and blockchain-based collaborative framework that enhances energy efficiency, timeliness, and data privacy in resource-constrained IoMT systems.
Designed an agent-driven collaborative architecture utilizing decentralized third-party interactions to evaluate device trust and reputation.
Integrated blockchain security mechanisms to preserve privacy, verify data integrity, and ensure immutable data transmission.
Evaluated network performance using the NS-3 simulator against benchmark schemes (PKI-EERP, ASCP-IoMT, and GWO-MARP) under time-variant sensor conditions.
Achieved average improvements of 52% in packet drop ratio and 45% in network throughput compared to baseline schemes.
Reduced transmission delay by 34%, lowered energy consumption by 39%, and extended total network lifetime by 42%.
Decreased blockchain operational overhead by an average of 30% across diverse health sensor configurations.

Cite This Study

Alshammeri et al. (2026) studied this question.

synapsesocial.com/papers/6a817a91f2fb91fc834ae715 https://doi.org/10.1038/s41598-026-65721-z

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August 16, 2026Scientific ReportsOpen Access

Blockchain-enabled intelligent model for energy-constrained IoMT networks with privacy-preserving

View Full Paper

Ask AI

Bookmark

Authors

MAMenwa Alshammeri KHKhalid Haseeb MHMamoona Humayun

Discussion

Member takes

Overview

Simulation study demonstrates enhanced energy efficiency and security in IoMT networks using a blockchain-agent framework, indicating improved reliability for real-time healthcare monitoring.

Key Points

To develop a distributed intelligence and blockchain-based collaborative framework that enhances energy efficiency, timeliness, and data privacy in resource-constrained IoMT systems.
Designed an agent-driven collaborative architecture utilizing decentralized third-party interactions to evaluate device trust and reputation.
Integrated blockchain security mechanisms to preserve privacy, verify data integrity, and ensure immutable data transmission.
Evaluated network performance using the NS-3 simulator against benchmark schemes (PKI-EERP, ASCP-IoMT, and GWO-MARP) under time-variant sensor conditions.
Achieved average improvements of 52% in packet drop ratio and 45% in network throughput compared to baseline schemes.
Reduced transmission delay by 34%, lowered energy consumption by 39%, and extended total network lifetime by 42%.
Decreased blockchain operational overhead by an average of 30% across diverse health sensor configurations.

Cite This Study

Alshammeri et al. (2026) studied this question.

synapsesocial.com/papers/6a817a91f2fb91fc834ae715 https://doi.org/10.1038/s41598-026-65721-z

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