Improved Energy Based Multi-Sensor Object Detection in Wireless Sensor Networks

Palanisamy, Thirumoorthy; Alghazzawi, Daniyal; Bhatia, Surbhi; Malibari, Areej Abbas; Dadheech, Pankaj; Sengan, Sudhakar

doi:10.32604/iasc.2022.023692

Cited by 19 publications

(4 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…WSNs are at the heart of IoT architectural implementation [42,43]. WSNs have played a pivotal role in the development of IoT technology which is proven to have a significant influence on the twentyfirst century [44]. Because of their extensive usage in many vital and essential applications, WSNs have been regarded as one of the most important topics of study [36,45].…”

Section: Lsdt Architecturementioning

confidence: 99%

Enabling Efficient Data Transmission in Wireless Sensor Networks-Based IoT Applications

Al-Hejri,

Azzedin,

Almuhammadi

et al. 2024

CMC

View full text Add to dashboard Cite

The use of the Internet of Things (IoT) is expanding at an unprecedented scale in many critical applications due to the ability to interconnect and utilize a plethora of wide range of devices. In critical infrastructure domains like oil and gas supply, intelligent transportation, power grids, and autonomous agriculture, it is essential to guarantee the confidentiality, integrity, and authenticity of data collected and exchanged. However, the limited resources coupled with the heterogeneity of IoT devices make it inefficient or sometimes infeasible to achieve secure data transmission using traditional cryptographic techniques. Consequently, designing a lightweight secure data transmission scheme is becoming essential. In this article, we propose lightweight secure data transmission (LSDT) scheme for IoT environments. LSDT consists of three phases and utilizes an effective combination of symmetric keys and the Elliptic Curve Menezes-Qu-Vanstone asymmetric key agreement protocol. We design the simulation environment and experiments to evaluate the performance of the LSDT scheme in terms of communication and computation costs. Security and performance analysis indicates that the LSDT scheme is secure, suitable for IoT applications, and performs better in comparison to other related security schemes.

show abstract

Section: Lsdt Architecturementioning

confidence: 99%

Enabling Efficient Data Transmission in Wireless Sensor Networks-Based IoT Applications

Al-Hejri,

Azzedin,

Almuhammadi

et al. 2024

CMC

View full text Add to dashboard Cite

show abstract

“…The Sovrin is built using open-source software and will provide open governance. Sovrin and the Stewards operate with complete openness and transparency [1,96]. Other than that, personal information should be cryptographically encrypted to prevent unauthorized access.…”

Section: Transparencymentioning

confidence: 99%

Land Registry Framework Based on Self-Sovereign Identity (SSI) for Environmental Sustainability

et al. 2022

Self Cite

View full text Add to dashboard Cite

Providing a system user with a unique and secure identity is a prerequisite for authentication and authorization aspects of a security system. It is generally understood that the existing digital identity systems store the identity details in centralized databases, and users store the identity details in centralized databases in which users do not have any control over them. These vulnerabilities in the traditional digital identities make them susceptible to various malicious assaults and modifications. Users’ personally identifiable information (PII) may leak through these identity solutions that can consequently affect other applications being used by the users, and they have no control over them. Land registration is a major domain of governance that defines civilians’ well-being and needs to be handled properly to avoid conflict and to support Environmental Sustainability. These traditional land registry applications also lack identity parameters due to weaknesses in identity solutions. A secure and reliable digital identity solution is the need of the hour. Self-sovereign identity (SSI), a new concept, is becoming more popular as a secure and reliable identity solution for users based on identity principles. SSI provides users with a way to control their personal information and consent for it to be used in various ways. In addition, the user’s identity details are stored in a decentralized manner, which helps to overcome the problems with digital identity solutions. This article reviews existing SSI solutions and analyzes them using SSI principles. It also assesses the SSI components required for constructing SSI frameworks that adhere to the SSI principles. Furthermore, it defines the procedures for establishing an SSI ecosystem, explores the laws governing digital identity that governments have adopted, and identifies SSI applications in several fields. Finally, a review of SSI applications in the domain of land registry systems is given in order to propose an SSI-based land registry framework for a secure and reliable land registry system.

show abstract

“…According to the requirement of agroindustry, different types of dryers are available based on various sizes and designs [13]. These dryers can be classified based on solar power, movement of air, the direction of air, kind of insulation provided, and which type of products are used for drying [14,15]. There are two major categories: (A) passive mode and (B) active mode; then, these two major categories have further subcategories which are (1) direct solar dryer, (2) indirect solar dryer, and (3) mixed-mode type solar dryers.…”

Section: Introductionmentioning

confidence: 99%

Internet of Things-Based Crop Classification Model Using Deep Learning for Indirect Solar Drying

Sharma

Gupta

Vaidya

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

The energy which is obtained from the sun in the form of light and heat is known as solar energy. Nowadays, technology is focused on utilization of this rich resource of energy. So many ways to harness and utilize this source of energy have already been introduced; solar drying of crops is one of its applications. Drying of crops is required to improve the quality of the crops as well as to protect crops from so many unwanted issues like moisture, pest/insect attacks, and birds/animals. Traditional methods are still used to dry the crops; drying of crops is required to preserving food product for long time. In this paper, we studied about the working mechanism of indirect solar dryers and introduced IoT-based system to control and monitor the temperature of the solar dryer as per the requirement of specific crop. To achieve the automation accurately and precisely deep learning method is also used to set the required temperature according to the requirement of the specific crop.

show abstract

Improved Energy Based Multi-Sensor Object Detection in Wireless Sensor Networks

Cited by 19 publications

References 23 publications

Enabling Efficient Data Transmission in Wireless Sensor Networks-Based IoT Applications

Enabling Efficient Data Transmission in Wireless Sensor Networks-Based IoT Applications

Land Registry Framework Based on Self-Sovereign Identity (SSI) for Environmental Sustainability

Internet of Things-Based Crop Classification Model Using Deep Learning for Indirect Solar Drying

Contact Info

Product

Resources

About