scholarly journals Elman-Based Secure Data Transmission Quality Prediction for Complex IoT Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Fagen Yin
Keyword(s):  
Data Transmission ◽  
Information Age ◽  
Quality Prediction ◽  
Complex Environments ◽  
Elman Network ◽  
Secure Data ◽  
Secure Data Transmission ◽  
Transmission Quality ◽  
Prediction Approach ◽  
The Internet Of Things

The information age has brought earth-shaking changes. For interconnection of all things, the data transmission has widely employed the Internet of Things (IoT). The IoT transmission faces complex environments. The secure data transmission is very important for mobile IoT networks. The secure data transmission quality prediction is investigated for mobile IoT networks. The probability of strictly positive secrecy capacity (SPSC) is used to evaluate the secure data transmission quality, and the expressions are first derived. Then, employing Elman network, a secure data transmission quality intelligent prediction approach is proposed. The extensive simulations are run to evaluate the proposed approach. The simulation results show that the Elman-based approach can achieve a higher quality precision than other methods. The Elman-based approach also can achieve a lower time complexity.

WSN-IoT Clustering for Secure Data Transmission in E-Health Sector using Green Computing Strategy

2021 ◽  
Author(s):  
Anurag Srivastava ◽  
Abhishek Singh ◽  
Susheel George Joseph ◽  
M. Rajkumar ◽  
Yogini Dilip Borole ◽  
...  
Keyword(s):  
Data Transmission ◽  
Health Sector ◽  
Green Computing ◽  
Secure Data ◽  
Secure Data Transmission

scholarly journals Grid-Based Routing Model for Energy Efficient and Secure Data Transmission in WSN for Smart Building Applications

2021 ◽  
Vol 11 (22) ◽  
pp. 10517
Author(s):  
V. Sivasankarareddy ◽  
G. Sundari ◽  
Ch. Rami Reddy ◽  
Flah Aymen ◽  
Edson C. Bortoni
Keyword(s):  
Routing Protocol ◽  
Data Transmission ◽  
Energy Efficient ◽  
Residual Energy ◽  
Smart Buildings ◽  
Smart Building ◽  
Secure Data ◽  
Secure Data Transmission ◽  
Average Residual ◽  
Grid Based

Presently, due to the establishment of a sensor network, residual buildings in urban areas are being converted into smart buildings. Many sensors are deployed in various buildings to perform different functions, such as water quality monitoring and temperature monitoring. However, the major concern faced in smart building Wireless Sensor Networks (WSNs) is energy depletion and security threats. Many researchers have attempted to solve these issues by various authors in different applications of WSNs. However, limited research has been conducted on smart buildings. Thus, the present research is focused on designing an energy-efficient and secure routing protocol for smart building WSNs. The process in the proposed framework is carried out in two stages. The first stage is the design of the optimal routing protocol based on the grid-clustering approach. In the grid-based model, a grid organizer was selected based on the sailfish optimization algorithm. Subsequently, a fuzzy expert system is used to select the relay node to reach the shortest path for data transmission. The second stage involves designing a trust model for secure data transmission using the two-fish algorithm. A simulation study of the proposed framework was conducted to evaluate its performance. Some metrics, such as the packet delivery ratio, end-end delay, and average residual energy, were calculated for the proposed model. The average residual energy for the proposed framework was 96%, which demonstrates the effectiveness of the proposed routing design.

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