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Issue title: Special Section: Intelligent, Smart and Scalable Cyber-Physical Systems
Guest editors: V. Vijayakumar, V. Subramaniyaswamy, Jemal Abawajy and Longzhi Yang
Article type: Research Article
Authors: Sharma, Ashutosh; * | Kumar, Rajiv
Affiliations: Department of Electronics and Communication, Jaypee University of Information Technology, Solan, H.P., India
Correspondence: [*] Corresponding author. Ashutosh Sharma, Department of Electronics and Communication, Jaypee University of Information Technology, Solan, H.P., India. E-mail: sharmaashutosh1326@gmail.com.
Abstract: In this paper, typical application of Cyber Physical System (CPS) has been highlighted for the critical-healthcare data transmission services. Sensors of CPS are providing patient’s health information via a communication network to a medical practitioner at some distant place. Needs of development of dependable routing protocol for such type of applications in healthcare are increased day-by-day. This paper proposes a quickest, critical and energy efficient routing for the CPS based healthcare system. Simulations performed to convey the appropriateness of the quality of data transmission system according to the well-defined Service Level Agreement (SLA) formulation. Proposed energy and SLA cooperation in data transmission is beneficial for the tele-operated medical service. A medical practitioner is able to monitor a patient in real-time with the help of proposed dependable and energy efficient data transmission. The results shows that CPS with consideration of different constraints such as energy and SLAs have a severe effect on its performance parameters such as mean number of QSS s-t paths, average hop counts and average energy efficiency. In addition to this comparison with existing algorithms shows the improvement in consideration with all performance components.
Keywords: Quickest services, critical-healthcare services, green energy, service level agreement, cyber physical system
DOI: 10.3233/JIFS-169968
Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 5, pp. 4077-4089, 2019
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