Cited 23 time in
Lightweight Proof of Game (LPoG): A Proof of Work (PoW)'s Extended Lightweight Consensus Algorithm for Wearable Kidneys
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kumar, Adarsh | - |
| dc.contributor.author | Sharma, Deepak Kumar | - |
| dc.contributor.author | Nayyar, Anand | - |
| dc.contributor.author | Singh, Saurabh | - |
| dc.contributor.author | Yoon, Byungun | - |
| dc.date.accessioned | 2023-04-27T23:40:40Z | - |
| dc.date.available | 2023-04-27T23:40:40Z | - |
| dc.date.issued | 2020-05 | - |
| dc.identifier.issn | 1424-8220 | - |
| dc.identifier.issn | 1424-3210 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/6663 | - |
| dc.description.abstract | In healthcare, interoperability is widely adopted in the case of cross-departmental or specialization cases. As the human body demands multiple specialized and cross-disciplined medical experiments, interoperability of business entities like different departments, different specializations, the involvement of legal and government monitoring issues etc. are not sufficient to reduce the active medical cases. A patient-centric system with high capability to collect, retrieve, store or exchange data is the demand for present and future times. Such data-centric health processes would bring automated patient medication, or patient self-driven trusted and high satisfaction capabilities. However, data-centric processes are having a huge set of challenges such as security, technology, governance, adoption, deployment, integration etc. This work has explored the feasibility to integrate resource-constrained devices-based wearable kidney systems in the Industry 4.0 network and facilitates data collection, liquidity, storage, retrieval and exchange systems. Thereafter, a Healthcare 4.0 processes-based wearable kidney system is proposed that is having the blockchain technology advantages. Further, game theory-based consensus algorithms are proposed for resource-constrained devices in the kidney system. The overall system design would bring an example for the transition from the specialization or departmental-centric approach to data and patient-centric approach that would bring more transparency, trust and healthy practices in the healthcare sector. Results show a variation of 0.10 million GH/s to 0.18 million GH/s hash rate for the proposed approach. The chances of a majority attack in the proposed scheme are statistically proved to be minimum. Further Average Packet Delivery Rate (ADPR) lies between 95% to 97%, approximately, without the presence of outliers. In the presence of outliers, network performance decreases below 80% APDR (to a minimum of 41.3%) and this indicates that there are outliers present in the network. Simulation results show that the Average Throughput (AT) value lies between 120 Kbps to 250 Kbps. | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | MDPI | - |
| dc.title | Lightweight Proof of Game (LPoG): A Proof of Work (PoW)'s Extended Lightweight Consensus Algorithm for Wearable Kidneys | - |
| dc.type | Article | - |
| dc.publisher.location | 스위스 | - |
| dc.identifier.doi | 10.3390/s20102868 | - |
| dc.identifier.scopusid | 2-s2.0-85085155590 | - |
| dc.identifier.wosid | 000539323700122 | - |
| dc.identifier.bibliographicCitation | SENSORS, v.20, no.10 | - |
| dc.citation.title | SENSORS | - |
| dc.citation.volume | 20 | - |
| dc.citation.number | 10 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Chemistry | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Instruments & Instrumentation | - |
| dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
| dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
| dc.subject.keywordPlus | HEALTH-CARE | - |
| dc.subject.keywordPlus | BLOCKCHAIN TECHNOLOGY | - |
| dc.subject.keywordAuthor | game theory | - |
| dc.subject.keywordAuthor | blockchain | - |
| dc.subject.keywordAuthor | cryptocurrency | - |
| dc.subject.keywordAuthor | lightweightness | - |
| dc.subject.keywordAuthor | gash rate | - |
| dc.subject.keywordAuthor | bit-exchange | - |
| dc.subject.keywordAuthor | challenge-response | - |
| dc.subject.keywordAuthor | attacks | - |
| dc.subject.keywordAuthor | healthcare | - |
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