Blockchain and LDP Based Smart Healthcare IoT Applications: Architecture, Challenges and Future Works

Iftikhar, Maham; Tahir, Sidra; Al-Quayed, Fatima; Hamid, Bushra

doi:10.1109/icbats57792.2023.10111134

Cited by 5 publications

(2 citation statements)

References 29 publications

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“…With blockchain technology, it is possible to track the use of resources and verify service level agreements between clients and service providers. This capability enhances the quality of services provided by ensuring that all parties adhere to the agreed-upon terms [13] [14]. To create a secure and scalable infrastructure in an IoT network using edge computing, certain requirements must be met.…”

Section: Use Of Blockchain In Cloud Architecturementioning

confidence: 99%

Optimized Data Fusion With Scheduled Rest Periods for Enhanced Smart Agriculture via Blockchain Integration

Ahmed,

Parveen,

Abdullah

et al. 2024

IEEE Access

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The study introduces an efficient data aggregation technique for smart agriculture by leveraging Blockchain technology and a novel method referred to as the "cluster head sleep schedule." The primary objective is to enhance the data collection process within a large-scale agricultural setting where multiple sensors continually generate vast amounts of data while monitoring and safeguarding crops from pest attacks. The proposed method involves the segmentation of sensors into clusters, each led by a designated cluster head responsible for collecting data from its constituent members deployed in the field to monitor pest attacks and promptly report any issues to the management. To curtail data redundancy, the study employs a fuzzy matrix to group nodes based on high-similarity data. This approach enables the selective suspension of certain nodes while others remain active. The data received from these nodes undergoes analysis using a fuzzy similarity matrix for clustering, ensuring that only unique data is transmitted to the base station. Redundant nodes from all clusters are identified and placed in a sleep mode, thus conserving energy and prolonging the network's lifespan. This sleep scheduling mechanism is implemented subsequent to data redundancy reduction, facilitating immediate pest attack control in agriculture. By implementing these techniques, smart agriculture stands to benefit from optimized energy utilization and reduced costs associated with monitoring and pest control, thereby fostering sustainable and efficient operations. The cluster head is responsible for storing the data on a base station positioned at the network's edge, allowing for local processing and prompt communication of pest attack information to the farmer for immediate action. Moreover, this edge system stores the data on a Blockchain network for future analysis and serves as a guideline for pest attack control in the pesticide industry, thereby enhancing data security and immutability. In addition to these advantages, the research also emphasizes the importance of controlling pest attacks to enhance crop production in the field, ultimately contributing to the country's economic growth. Simulation results affirm that the proposed approach leads to notable cost reductions, decreased energy consumption, improved crop production, precise crop monitoring to prevent pest attacks, and a prolonged network lifespan. These outcomes underscore the effectiveness of this approach within the context of smart agriculture and its role in enhancing the monitoring system for smart agriculture and bolstering security through Blockchain technology.

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Section: Use Of Blockchain In Cloud Architecturementioning

confidence: 99%

Optimized Data Fusion With Scheduled Rest Periods for Enhanced Smart Agriculture via Blockchain Integration

Ahmed,

Parveen,

Abdullah

et al. 2024

IEEE Access

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“…A significant feature is that most participants validate all public transactions, ensuring the permanence and non-disputability of stored information. This addressing the vital need to safeguard and maintain sensitive patient data in a secure cloud-based environment, addressing concerns related to data creation, distribution, storage, and retrieval in the healthcare sector [11].…”

Section: Literature Review: Related Studiesmentioning

confidence: 99%

Seamless Data Exchange: Advancing Healthcare with Cross-Chain Interoperability in Blockchain for Electronic Health Records

Puneeth,

Parthasarathy

2023

IJACSA

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The rapid digitization of healthcare records has led to the accumulation of vast amounts of sensitive patient data, stored across various systems and platforms. To ensure the secure and efficient exchange of Electronic Health Records (EHRs) among healthcare providers, researchers, and patients themselves, the concept of cross-chain interoperability within blockchain technology emerges as a promising solution. Nevertheless, existing blockchain platforms exhibit several limitations. In order to address the issue of non-interoperability, the suggested method involves creating a connection between two similar blockchain networks. This solution is exemplified through the use of an Electronic Health Records (EHR) structure, which is distributed across distinct Ethereum Testnets and implemented via a Solidity Smart Contract. The paper aims to demonstrate the viability of bridging the gap and fostering seamless interoperability between blockchain networks. However, establishing effective communication between these smart contracts proves to be a complex endeavor, whether within a singular blockchain or spanning multiple blockchains. This complexity presents a formidable obstacle, particularly when diverse hospitals require the sharing or exchange of critical information. Consequently, a solution becomes imperative to facilitate cross-chain communication among smart contracts. This solution provides seamless operation both within the confines of a single blockchain and across disparate blockchains. By achieving this, cross-chain interoperability can be realized, enabling distinct blockchain networks to mutually comprehend and actively engage with each other.

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Leveraging Blockchain Technologies for Secure and Efficient Patient Data Management in Disaster Scenarios

Khalid,

Ahmed,

Ansar

et al. 2024

Lecture Notes in Networks and Systems

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Blockchain and LDP Based Smart Healthcare IoT Applications: Architecture, Challenges and Future Works

Cited by 5 publications

References 29 publications

Optimized Data Fusion With Scheduled Rest Periods for Enhanced Smart Agriculture via Blockchain Integration

Optimized Data Fusion With Scheduled Rest Periods for Enhanced Smart Agriculture via Blockchain Integration

Seamless Data Exchange: Advancing Healthcare with Cross-Chain Interoperability in Blockchain for Electronic Health Records

Leveraging Blockchain Technologies for Secure and Efficient Patient Data Management in Disaster Scenarios

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