Comprehensive analysis of energy efficient secure routing protocol over sensor network

Saxena, Mohit; Banu, Firdouse; Shrivastava, Anurag; Thyagaraj, M.; Upadhyay, Shrikant

doi:10.1016/j.matpr.2022.04.857

Cited by 18 publications

(2 citation statements)

References 21 publications

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“…The sustainable healthcare system enables accurate medicine to patients by integrating DNA datasets of clinical tests and health level 7. It also helps in tracking blood glucose of a person suffering for diabetes [34][35][36]. Balancing of nutrients is important and it customized the plan of food for patients recommended by physicians.…”

Section: Sustainability and Need For Applicationmentioning

confidence: 99%

IoT Enabled Sustainable Health Monitoring System using Scheduling Approach and Priority Validation for Smart Healthcare Enhancement

Upadhyay,

Kumar,

Upadhyay

et al. 2024

Preprint

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In this article, we propose a health tracking system designed to aid patients and doctors within a hospital campus. We primarily focus on efficiency, trust ability and scalability of the healthcare system. In previous studies, scheduling methods such as shortest task first and first-come, first-served have been commonly assumed for IoT-dependent healthcare systems. However, these approaches have limitations when it comes to accommodating a wide range of requests and efficiently handling high-demand situations. Specifically, the inclusion of short procedures in such scheduling methods can result in prolonged task completion durations and poor performance in overloaded scenarios. To deal with such challenges we proposed an analytical framework of scheduling that offers service differentiation concerning delay-sensitive, tolerant packets and packet length for a short packet being transferred before long packets. The performance of the prioritized method has been compared with the existing scheduling approaches in terms of packet loss, latency tolerance, packet threshold, mean turndown etc. to analyze its sustainability. Also, the proposed model is analyzed using two existing protocols with different simulation parameters to aiming to identify the most suitable protocol for better management of the health monitoring system.

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Section: Sustainability and Need For Applicationmentioning

confidence: 99%

IoT Enabled Sustainable Health Monitoring System using Scheduling Approach and Priority Validation for Smart Healthcare Enhancement

Upadhyay,

Kumar,

Upadhyay

et al. 2024

Preprint

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show abstract

“…This suggested algorithm separates the complete network into unequal clusters relying on the present data load within the current sensor node, preventing the immature death of any network during communication [106]. A hierarchical approach for sensor networks in which transmission is more secure with longer node lengths and the operation of the network is improved with shared important management policy relies on the LEACH protocol [107].…”

Section: Iot Securitymentioning

confidence: 99%

Challenges and Limitation Analysis of an IoT-Dependent System for Deployment in Smart Healthcare Using Communication Standards Features

Upadhyay¹,

Kumar

Upadhyay

et al. 2023

Sensors

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The use of IoT technology is rapidly increasing in healthcare development and smart healthcare system for fitness programs, monitoring, data analysis, etc. To improve the efficiency of monitoring, various studies have been conducted in this field to achieve improved precision. The architecture proposed herein is based on IoT integrated with a cloud system in which power absorption and accuracy are major concerns. We discuss and analyze development in this domain to improve the performance of IoT systems related to health care. Standards of communication for IoT data transmission and reception can help to understand the exact power absorption in different devices to achieve improved performance for healthcare development. We also systematically analyze the use of IoT in healthcare systems using cloud features, as well as the performance and limitations of IoT in this field. Furthermore, we discuss the design of an IoT system for efficient monitoring of various healthcare issues in elderly people and limitations of an existing system in terms of resources, power absorption and security when implemented in different devices as per requirements. Blood pressure and heartbeat monitoring in pregnant women are examples of high-intensity applications of NB-IoT (narrowband IoT), technology that supports widespread communication with a very low data cost and minimum processing complexity and battery lifespan. This article also focuses on analysis of the performance of narrowband IoT in terms of delay and throughput using single- and multinode approaches. We performed analysis using the message queuing telemetry transport protocol (MQTTP), which was found to be efficient compared to the limited application protocol (LAP) in sending information from sensors.

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IOT Based Surveillance System for Fire and Smoke Detection

Tripathi

Obulesu²,

Murugan³

et al. 2022

2022 5th International Conference on Contemporary Computing and Informatics (IC3I)

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Comprehensive analysis of energy efficient secure routing protocol over sensor network

Cited by 18 publications

References 21 publications

IoT Enabled Sustainable Health Monitoring System using Scheduling Approach and Priority Validation for Smart Healthcare Enhancement

IoT Enabled Sustainable Health Monitoring System using Scheduling Approach and Priority Validation for Smart Healthcare Enhancement

Challenges and Limitation Analysis of an IoT-Dependent System for Deployment in Smart Healthcare Using Communication Standards Features

IOT Based Surveillance System for Fire and Smoke Detection

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