Predictive model for battery life in IoT networks

Maddikunta, Praveen Kumar Reddy; Srivastava, Gautam; Gadekallu, Thippa Reddy; Deepa, N.; Boopathy, Prabadevi

doi:10.1049/iet-its.2020.0009

Cited by 78 publications

(24 citation statements)

References 50 publications

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“…The random forest classifier is one of the supervised ML algorithms used for classification and regression purposes ( 32 ). The random forest method constructs decision trees from datasets and creates a forest made of trees.…”

Section: Proposed Architecturementioning

confidence: 99%

Detecting COVID-19-Related Fake News Using Feature Extraction

Khan

Hakak

Deepa

et al. 2022

Front. Public Health

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Since its emergence in December 2019, there have been numerous posts and news regarding the COVID-19 pandemic in social media, traditional print, and electronic media. These sources have information from both trusted and non-trusted medical sources. Furthermore, the news from these media are spread rapidly. Spreading a piece of deceptive information may lead to anxiety, unwanted exposure to medical remedies, tricks for digital marketing, and may lead to deadly factors. Therefore, a model for detecting fake news from the news pool is essential. In this work, the dataset which is a fusion of news related to COVID-19 that has been sourced from data from several social media and news sources is used for classification. In the first step, preprocessing is performed on the dataset to remove unwanted text, then tokenization is carried out to extract the tokens from the raw text data collected from various sources. Later, feature selection is performed to avoid the computational overhead incurred in processing all the features in the dataset. The linguistic and sentiment features are extracted for further processing. Finally, several state-of-the-art machine learning algorithms are trained to classify the COVID-19-related dataset. These algorithms are then evaluated using various metrics. The results show that the random forest classifier outperforms the other classifiers with an accuracy of 88.50%.

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Section: Proposed Architecturementioning

confidence: 99%

Detecting COVID-19-Related Fake News Using Feature Extraction

Khan

Hakak

Deepa

et al. 2022

Front. Public Health

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“…e warehouse is critical to any IoT application in terms of ensuring the quality of traffic connections and that the packets sent are sent and received. Energy efficiency, signal and data processing, safety, and integrity are important aspects that should be taken into account in the warehouse [13].…”

Section: Layer 2: Network Layermentioning

confidence: 99%

PoC Design: A Methodology for Proof-of-Concept (PoC) Development on Internet of Things Connected Dynamic Environments

Prasanna¹,

Ramana²,

Kautish³

et al. 2021

Security and Communication Networks

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Internet of Things (IoT) is a phenomenon involving connecting things or objects with sensors. The IoT market is growing rapidly, and there are strong incentives for companies to follow the trend of IoT growth and development. However, the percentage of IoT measures that are considered successful seems low. The complexity of carrying out an IoT project lies in the need to adjust all the pieces of the puzzle: assets, sensors, communications, technology, coverage, and geographical locations with precision of the measures and regulations. All these requirements determine the economic viability of the business and its benefit. This study, therefore, examines how the project methodology can support the development of the concept and ensure the business value of IoT initiatives. The project methodology developed in this study is called PoC Design. A case study was evaluated, in which defects in street lighting were investigated and carried out. The evaluation of the methodology highlighted the importance of defining problems and solutions based on business value, calculating the potential of an IoT initiative, determining the continuation of the project, involving stakeholders at an early stage, and creating a PoC to validate the concept with stakeholders.

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“…Globally, attention to the Internet of Things (IoT) as well as Unmanned Aerial Vehicles (UAV) is growing tremendously. There are numerous applications based on IoT and UAV technologies such as in Healthcare, Vehicular, Surveillance, and in the Government sector [27][28][29]. According to the Information Handling Services (IHS) Markit report, in 2018, about 20 billion devices were connected to the Internet, and about 1.2 billion IoT devices were installed.…”

Section: Introductionmentioning

confidence: 99%

A Blockchain Based Cloud Integrated IoT Architecture Using a Hybrid Design

Rupa

Srivastava

Gadekallu

et al. 2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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The Internet of Things (IoT) and its applications are gaining popularity in recent years due to features like ease of use and increased availability of the Internet. We can enhance the efficiency of IoT based systems by adding other advanced technologies like cloud infrastructure and blockchain technology. Through these enhancements IoT applications can be accessed at any time from any place. However, a database is required for storing the information of the application. Cloud infrastructure is an ideal solution for storing IoT based applications as it provides remote services such as storage, computation, and analysis. The major drawback of these applications are their inability to provide security and privacy for data. Blockchain technology helps in overcoming these drawbacks with features like immutability, transparency, and distributed structure. In this paper, a blockchain based cloud integrated IoT application is proposed that can assist to identify intruders through virtual monitoring. The main advantage of this application is that it can operate in areas where manual monitoring is challenging and data is stored in a blockchain-based tamper-free environment.

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Predictive model for battery life in IoT networks

Cited by 78 publications

References 50 publications

Detecting COVID-19-Related Fake News Using Feature Extraction

Detecting COVID-19-Related Fake News Using Feature Extraction

PoC Design: A Methodology for Proof-of-Concept (PoC) Development on Internet of Things Connected Dynamic Environments

A Blockchain Based Cloud Integrated IoT Architecture Using a Hybrid Design

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