An efficient routing protocol for internet of medical things focusing hot spot node problem

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.

Routing Overhead Aware Optimal Cluster based Routing Algorithm for IoT Network using Heuristic Technique

“…The bee colony optimization (BCO) technique, which aims to build distributed groups of nodes with common properties without any initialization knowledge pertinent to the output or utilizing complex parameters, is modified to change the key parameters in order to automatically organize the clusters [25]. IoMT-WSN uses the thermal aware routing protocol (ATAR) [26] to enhance latency and energy economy. Each node modifies its power level during transmission by observing its surrounding nodes.…”