Grid-Based Routing Model for Energy Efficient and Secure Data Transmission in WSN for Smart Building Applications
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...
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2021
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oai:doaj.org-article:350c31269a97420db643fc2440d9179b2021-11-25T16:30:31ZGrid-Based Routing Model for Energy Efficient and Secure Data Transmission in WSN for Smart Building Applications10.3390/app1122105172076-3417https://doaj.org/article/350c31269a97420db643fc2440d9179b2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10517https://doaj.org/toc/2076-3417Presently, 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.V. SivasankarareddyG. SundariCh. Rami ReddyFlah AymenEdson C. BortoniMDPI AGarticlegrid clusteringsmart buildingsailfish optimizationfuzzy expert system and two-fish encryption algorithmTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10517, p 10517 (2021) |
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grid clustering smart building sailfish optimization fuzzy expert system and two-fish encryption algorithm Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 |
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grid clustering smart building sailfish optimization fuzzy expert system and two-fish encryption algorithm Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 V. Sivasankarareddy G. Sundari Ch. Rami Reddy Flah Aymen Edson C. Bortoni Grid-Based Routing Model for Energy Efficient and Secure Data Transmission in WSN for Smart Building Applications |
description |
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. |
format |
article |
author |
V. Sivasankarareddy G. Sundari Ch. Rami Reddy Flah Aymen Edson C. Bortoni |
author_facet |
V. Sivasankarareddy G. Sundari Ch. Rami Reddy Flah Aymen Edson C. Bortoni |
author_sort |
V. Sivasankarareddy |
title |
Grid-Based Routing Model for Energy Efficient and Secure Data Transmission in WSN for Smart Building Applications |
title_short |
Grid-Based Routing Model for Energy Efficient and Secure Data Transmission in WSN for Smart Building Applications |
title_full |
Grid-Based Routing Model for Energy Efficient and Secure Data Transmission in WSN for Smart Building Applications |
title_fullStr |
Grid-Based Routing Model for Energy Efficient and Secure Data Transmission in WSN for Smart Building Applications |
title_full_unstemmed |
Grid-Based Routing Model for Energy Efficient and Secure Data Transmission in WSN for Smart Building Applications |
title_sort |
grid-based routing model for energy efficient and secure data transmission in wsn for smart building applications |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/350c31269a97420db643fc2440d9179b |
work_keys_str_mv |
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