Trust-Aware Routing Framework for Internet of Things

Sankar, S.; Ramasubbareddy, Somula; Kumar, Randhir; Srinivasan, Padmini; Jayanthi, M. Amala

doi:10.4018/ijkss.2021010104

Cited by 12 publications

(7 citation statements)

References 15 publications

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“…The idea of using Hybrid Reality-Based Education Expansion System for Non-Traditional Learning in [24]. Trust-Aware Routing Framework for Internet of Things was discussed in [25].…”

Section: Methodsmentioning

confidence: 99%

Secure Smart Wearable Computing through Artificial Intelligence-Enabled Internet of Things and Cyber-Physical Systems for Health Monitoring

Ramasamy

Khan

Shah

et al. 2022

Sensors

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The functionality of the Internet is continually changing from the Internet of Computers (IoC) to the “Internet of Things (IoT)”. Most connected systems, called Cyber-Physical Systems (CPS), are formed from the integration of numerous features such as humans and the physical environment, smart objects, and embedded devices and infrastructure. There are a few critical problems, such as security risks and ethical issues that could affect the IoT and CPS. When every piece of data and device is connected and obtainable on the network, hackers can obtain it and utilise it for different scams. In medical healthcare IoT-CPS, everyday medical and physical data of a patient may be gathered through wearable sensors. This paper proposes an AI-enabled IoT-CPS which doctors can utilise to discover diseases in patients based on AI. AI was created to find a few disorders such as Diabetes, Heart disease and Gait disturbances. Each disease has various symptoms among patients or elderly. Dataset is retrieved from the Kaggle repository to execute AI-enabled IoT-CPS technology. For the classification, AI-enabled IoT-CPS Algorithm is used to discover diseases. The experimental results demonstrate that compared with existing algorithms, the proposed AI-enabled IoT-CPS algorithm detects patient diseases and fall events in elderly more efficiently in terms of Accuracy, Precision, Recall and F-measure.

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“…The idea of using Hybrid Reality-Based Education Expansion System for Non-Traditional Learning in [24]. Trust-Aware Routing Framework for Internet of Things was discussed in [25].…”

Section: Methodsmentioning

confidence: 99%

Secure Smart Wearable Computing through Artificial Intelligence-Enabled Internet of Things and Cyber-Physical Systems for Health Monitoring

Ramasamy

Khan

Shah

et al. 2022

Sensors

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“…The processing element of the sensor node includes a microcontroller and memory unit, which carry out data manipulation and storage of processed information. CU consists of communication resources, more often restricted radio range and a small battery in PU furnishes the power to the whole SN unit [29][30][31].…”

Section: Figure 1: Reference Architecture Of Wsnmentioning

confidence: 99%

“…The Internet of Things (IoT) is a collection of objects linked to the Internet that can share data from one to another [1][2][3][4][5][6]. Kevin Ashton coined the term "Internet of Things" in 1999.…”

Section: Introductionmentioning

confidence: 99%

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EACR-LEACH: Energy-Aware Cluster-based Routing Protocol for WSN Based IoT

Sankar¹,

Kirubasri²,

Alotaibi³

et al. 2022

Computers, Materials &Amp; Continua

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Internet of Things (IoT) is a recent paradigm to improve human lifestyle. Nowadays, number devices are connected to the Internet drastically. Thus, the people can control and monitor the physical things in real-time without delay. The IoT plays a vital role in all kind of fields in our world such as agriculture, livestock, transport, and healthcare, grid system, connected home, elderly people carrying system, cypher physical system, retail, and intelligent systems. In IoT energy conservation is a challenging task, as the devices are made up of low-cost and low-power sensing devices and local processing. IoT networks have significant challenges in two areas: network lifespan and energy usage. Therefore, the clustering is a right choice to prolong the energy in the network. In LEACH clustering protocol, sometimes the same node acts as CH again and again probabilistically. To overcome these issues, this paper proposes the Energy-Aware Cluster-based Routing (EACR-LEACH) protocol in WSN based IoT. The Cluster Head (CH) selection is a crucial task in clustering protocol in WSN based IoT. In EACR-LEACH, the CH is selected by using the routing metrics, Residual Energy (RER), Number of Neighbors (NoN), Distance between Sensor Node and Sink (Distance) and Number of Time Node Act as CH (NTNACH). An extensive simulation is conducted on MATLAB 2019a. The accomplishment of EACR-LEACH is compared to LEACH and SE-LEACH. The proposed EACR-LEACH protocol extends the network's lifetime by 4%-8% and boosts throughput by 16%-24%.

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“…Nevertheless, wearable gadgets for healthcare problems [ 13 ], namely smart ECG machines, Bluetooth blood glucose measuring devices, and 3G BP measuring devices, could be utilized to monitor blood sugar, ECG, and blood pressure along with various physiologic symptoms [ 14 , 15 , 16 ]. DPS plays a primary role in peoples’ lives, and it is pondered as an important topic by various academics [ 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

An Efficient and Privacy-Preserving Scheme for Disease Prediction in Modern Healthcare Systems

Shynu

Chowdhary

Iwendi

et al. 2022

Sensors

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With the Internet of Things (IoT), mobile healthcare applications can now offer a variety of dimensionalities and online services. Disease Prediction Systems (DPS) increase the speed and accuracy of diagnosis, improving the quality of healthcare services. However, privacy is garnering an increasing amount of attention these days, especially concerning personal healthcare data, which are sensitive. There are a variety of prevailing privacy preservation techniques for disease prediction that are rendered. Nonetheless, there is a chance of medical users being affected by numerous disparate diseases. Therefore, it is vital to consider multi-label instances, which might decrease the accuracy. Thus, this paper proposes an efficient privacy-preserving (PP) scheme for patient healthcare data collected from IoT devices aimed at disease prediction in the modern Health Care System (HCS). The proposed system utilizes the Log of Round value-based Elliptic Curve Cryptography (LR-ECC) to enhance the security level during data transfer after the initial authentication phase. The authorized healthcare staff can securely download the patient data on the hospital side. Utilizing the Herding Genetic Algorithm-based Deep Learning Neural Network (EHGA-DLNN) can test these data with the trained system to predict the diseases. The experimental results demonstrate that the proposed approach improves prediction accuracy, privacy, and security compared to the existing methods.

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Trust-Aware Routing Framework for Internet of Things

Cited by 12 publications

References 15 publications

Secure Smart Wearable Computing through Artificial Intelligence-Enabled Internet of Things and Cyber-Physical Systems for Health Monitoring

Secure Smart Wearable Computing through Artificial Intelligence-Enabled Internet of Things and Cyber-Physical Systems for Health Monitoring

EACR-LEACH: Energy-Aware Cluster-based Routing Protocol for WSN Based IoT

An Efficient and Privacy-Preserving Scheme for Disease Prediction in Modern Healthcare Systems

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