Abstract
Internet of thing based healthcare (IoThc) system is a platform which is an integration of smarter device, intelligent processor and informative communication. It also requires a huge enhancement to compete with the current scenario and medication facilities. IoT has a huge architecture that clarifies the related field. Still, some lack of knowledge is opposing the principal investigators to gain more information about it. The proliferation of IoT and its healthcare applications is increasing continuously. These applications like automation systems, E-Health monitoring, etc. are using heterogeneous sensors in their environment. It results in a large variety of health care data, sensing resources, and protocols which need to be managed in which will be beneficial for the treatment of patients. It also requires resource provisioning and management through the healthcare cloud. Key features of the healthcare cloud like on-demand access, resource provisioning, elasticity, etc. can be integrated with IoT domains. In this paper, IoT-based healthcare cloud with device approach is taken into consideration. It focuses on the resource management challenges by applying the cloud concept in the IoT environment. Resources are assigned to the healthcare device cloud on-demand basis. Physical devices of IoT are shared and provisioned like in the cloud environment where resources are available to serve the request using infrastructure as a service (IaaS).
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Change history
13 January 2022
In chapter 4 “Resource Management Challenges in IoT Based Healthcare System”, affiliation of co-author, Biswajit Jena'smentioned as “Indian Institute of Information Technology Bhubaneswar, Bhubaneswar, India” instead of “Indian Institute of Information Technology, Bhubaneswar, India”. This has now been corrected.
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Pradhan, R., Dash, A.K., Jena, B. (2022). Resource Management Challenges in IoT Based Healthcare System. In: Pattnaik, P.K., Vaidya, A., Mohanty, S., Mohanty, S., Hol, A. (eds) Smart Healthcare Analytics: State of the Art. Intelligent Systems Reference Library, vol 213. Springer, Singapore. https://doi.org/10.1007/978-981-16-5304-9_4
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