Title: FBDP approach in IoT-based cloud for self-treatment in healthcare using smart grid

Authors: Basetty Mallikarjuna

Addresses: Institute of Aeronautical Engineering, Dundigal – 5000043, Hyderabad, Telangana, India

Abstract: This paper throws lights on the idea of integrating architecture of IoT and cloud for smart grid environment; the IoT devices organised with the IoT-layer, supported by the cloud service providers. Feedback-based data processing (FBDP) design is proposed to maintain the quality of service (QoS) metrics and the service level agreement (SLA) between the IoT-based cloud environment and effective data transmission required for movements of the patients and necessity of self-treatment. The proposed FBDP model elaborates the credibility while IoT devices are connected through the smartphone and provides a service through the gateway as a smart device. The proposed idea is mostly useful for healthcare applications and for self-treatment like tele-medicine. This model is also able to deal with the QoS metrics such as service discovery, energy optimisation, makespan, response time, network bandwidth and security. The performance of the proposed model is simulated with the iFogSim toolkit and tested with the real time database. The results proved that the proposed model is efficient for smart grid environment in healthcare applications.

Keywords: integrated architecture; feedback-based data processing; FBDP; QoS metrics; iFogSim; sensor nodes; tele-medicine; IoT-based cloud; gateway.

DOI: 10.1504/IJSGGC.2024.140404

International Journal of Smart Grid and Green Communications, 2024 Vol.2 No.3, pp.249 - 266

Received: 01 Oct 2020
Accepted: 06 May 2021
Published online: 07 Aug 2024 *

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