Abstract

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.

Highlights

  • Internet of medical things (IoMT) is an open research area that uses Internet of things (IoT) devices for remote monitoring for the healthcare domain

  • Power, thermal, and priority awareness in IoMT routing, we propose a dynamic routing protocol

  • Besides simulating only a thermal aware routing protocol (ATAR), a comparative analysis is conducted among the state of the art protocols, that is, LSE-Transmission power control (TPC) and multi-path ring routing (MPR)

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Summary

Introduction

Internet of medical things (IoMT) is an open research area that uses Internet of things (IoT) devices for remote monitoring for the healthcare domain. Quality of life for elderly people can be enhanced using IoMT technology. Using this IoMT technology, a patient can stay at home while a doctor can check the patient’s vital signs on a personal digital assistant (PDA) or mobile phone.[1] This gives ease but is cost-effective. Considering IoMT, two types of IoT devices are utilized normally, that is, on the body and implanted IoT devices. Implantable IoT devices can be planted inside

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