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An efficient routing protocol for internet of medical things focusing hot spot node problem
Author(s) -
Ghufran Ahmed,
Danish Mehmood,
Khurram Shahzad,
Rauf Ahmed Shams Malick
Publication year - 2021
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1177/1550147721991706
Subject(s) - computer science , workload , the internet , routing protocol , efficient energy use , routing (electronic design automation) , node (physics) , computer network , internet of things , protocol (science) , domain (mathematical analysis) , distributed computing , computer security , world wide web , engineering , mathematical analysis , structural engineering , mathematics , electrical engineering , operating system , medicine , alternative medicine , pathology
The healthcare budget is increasing day-by-day as the population of the world increases. The same is the case regarding the workload of health care workers, that is, doctors and other practitioners. Under such a scenario where workload and cost are increasing drastically, there is a dire need of integrating recent technological enhancements with the said domain. Since the last decade, a lot of work is in the process considering the said integration bringing revolutionary changes. For remote monitoring, existing systems use different types of Internet of things devices that measure different health parameters. One of the major problems in such a system is to find an optimum routing approach that can resolve energy and thermal issues that are taking the limelight in the research arena. In this article, a dynamic routing technique is proposed which is keen to connect multiple in vivo/ex vivo Internet of things devices and a sink (focusing thermal and energy problem) and then forwarding data from sink to remote location for monitoring. Performance parameters are kept energy efficiency and thermal awareness and analytical results show that the proposed protocol supersedes existing approaches in said metrics.

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