Abstract

Internet of Health Things (IoHT) involves intelligent, low-powered, and miniaturized sensors nodes that measure physiological signals and report them to sink nodes over wireless links. IoHTs have a myriad of applications in e-health and personal health monitoring. Because of the data’s sensitivity measured by the nodes and power-constraints of the sensor nodes, reliability and energy-efficiency play a critical role in communication in IoHT. Reliability is degraded by the increase in packets’ loss due to inefficient MAC, routing protocols, environmental interference, and body shadowing. Simultaneously, inefficient node selection for routing may cause the depletion of critical nodes’ energy resources. Recent advancements in cross-layer protocol optimizations have proven their efficiency for packet-based Internet. In this article, we propose a MAC/Routing-based Cross-layer protocol for reliable communication while preserving the sensor nodes’ energy resource in IoHT. The proposed mechanism employs a timer-based strategy for relay node selection. The timer-based approach incorporates the metrics for residual energy and received signal strength indicator to preserve the vital underlying resources of critical sensors in IoHT. The proposed approach is also extended for multiple sensor networks, where sensor in vicinity are coordinating and cooperating for data forwarding. The performance of the proposed technique is evaluated for metrics like Packet Loss Probability, End-To-End delay, and energy used per data packet. Extensive simulation results show that the proposed technique improves the reliability and energy-efficiency compared to the Simple Opportunistic Routing protocol.

Highlights

  • T HE INTERNET of Health Things (IoHT) are an extension of Internet of Things (IoT) dedicated for sensing physiological signals from patients and elderly for eHeatlh applications

  • In [23], [24], the authors have evaluated the performance of Simple Opportunistic Routing (SOR) protocol for wireless body area networks (WBAN), and the results show that reliability is improved

  • SIMULATION MODEL FOR WBAN We only considered sensor nodes on the front-side, and backside of the body, and all the sensors are assumed to be static

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Summary

Introduction

T HE INTERNET of Health Things (IoHT) are an extension of Internet of Things (IoT) dedicated for sensing physiological signals from patients and elderly for eHeatlh applications. In IoHTs, sensors are used to sense physiological signals from the human body and send it to a local server or remote server over multiple links and nodes. These small sensors are resource-constrained nodes attached to human-body in an invasive and non-invasive manner to measure different human-body states for healthcare or elderly-care-based applications. The signals sensed by the sensors and data communicated are of critical importance [2]. These sensor nodes are smaller in number than Wireless Sensor Networks (WSN), where sensor nodes are quite in abundance, the

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