Next Article in Journal
Towards Urban Archaeo-Geophysics in Peru. The Case Study of Plaza de Armas in Cusco
Next Article in Special Issue
Selfishness in Vehicular Delay-Tolerant Networks: A Review
Previous Article in Journal
Design of a Low-Cost Ultra-Wide-Band Radar Platform
Previous Article in Special Issue
An Energy-Efficient Evolutionary Clustering Technique for Disaster Management in IoT Networks
Open AccessArticle

Lightweight Proof of Game (LPoG): A Proof of Work (PoW)’s Extended Lightweight Consensus Algorithm for Wearable Kidneys

1
Department of Systemics, School of Computer Science, University of Petroleum and Energy Studies, Dehradun 248007, India
2
Department of Informatics, School of Computer Science, University of Petroleum and Energy Studies, Dehradun 248007, India
3
Graduate School, Duy Tan University, Da Nang 550000, Vietnam
4
Faculty of Information Technology, Duy Tan University, Da Nang 550000, Vietnam
5
Department of Industrial & Systems Engineering, Dongguk University, Seoul 04620, Korea
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(10), 2868; https://doi.org/10.3390/s20102868
Received: 20 April 2020 / Revised: 8 May 2020 / Accepted: 13 May 2020 / Published: 19 May 2020
(This article belongs to the Special Issue Internet of Things for Smart Community Solutions)
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. View Full-Text
Keywords: game theory; blockchain; cryptocurrency; lightweightness; gash rate; bit-exchange; challenge-response; attacks; healthcare game theory; blockchain; cryptocurrency; lightweightness; gash rate; bit-exchange; challenge-response; attacks; healthcare
Show Figures

Figure 1

MDPI and ACS Style

Kumar, A.; Kumar Sharma, D.; Nayyar, A.; Singh, S.; Yoon, B. Lightweight Proof of Game (LPoG): A Proof of Work (PoW)’s Extended Lightweight Consensus Algorithm for Wearable Kidneys. Sensors 2020, 20, 2868.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop