Improved Vitality of Wireless Sensor Network Using Grid Clustering With Multi-Hop Transmission Protocol Routing

Bouakkaz, Fatima; Derdour, Makhlouf; Ali, Wajid

doi:10.1615/telecomradeng.v79.i6.60

Cited by 4 publications

(3 citation statements)

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“…We adopted our protocole proposed by Bouakkaz et al [34], Bouakkaz and Derdour [35]. Figure 3 gives the basic idea of power efficient grid-chain routing protocol in WSN [35].…”

Section: Network Architecture Design Fire Detection Systemmentioning

confidence: 99%

“…We present a suggestion for our forest fire detection monitoring system. We improved the protocol proposed by Bouakkaz et al [34], Bouakkaz and Derdour [35] by using two type of sensors scalar type for temperature detection and another multimedia type for the fire image detection. On the one hand, we select the temperature like the first environmental parameters in our system.…”

Section: Network Architecture Design Fire Detection Systemmentioning

confidence: 99%

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Forest Fire Detection Using Wireless Multimedia Sensor Networks and Image Compression

Bouakkaz¹,

Wided²,

Derdour³

2021

I2M

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Recently, the issue of multimedia sensors received considerable critical attention, that led to the apparition of Wireless Multimedia Sensor Networks (WMSNs) WMSN that different from wireless sensor networks (WSN) by using multimedia sensors that can process video, audio, image data besides scalar data and send it to station base (SB). Multimedia data have a big volume bigger than scalar data and need more resources and consumed more energy. The ideal solution to solve the problems of WMSN (big volume, energy consumption) is data compression. Forest plays a critical role in our daily life we can summarize the importance of forests in human life. Among the most dangerous events the forest fires that happen because of natural or Man-made. Many methods used to detect forest fires the newest are: wireless multimedia sensor networks. Our system of detecting forest fire has been developed using a wireless multimedia senor network with two types of sensors (scalar, images). In the first phase when the scalar sensors detected a high temperature its announced alarm to activate the image sensors. In the second phase for detecting fire the image sensors, we used image processing tools. When the zone of fire in the image captured was detected the phase of compression started using the down sampling method. the final phase is transmission data to the station base using the grid chain transmission protocol technique, which allows a critical optimization of energy consumption. So, maximizing network life. The competence of the proposed system is achieved by minimizing size of image transmitted with grid chain routing protocol.

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“…We adopted our protocole proposed by Bouakkaz et al [34], Bouakkaz and Derdour [35]. Figure 3 gives the basic idea of power efficient grid-chain routing protocol in WSN [35].…”

Section: Network Architecture Design Fire Detection Systemmentioning

confidence: 99%

Section: Network Architecture Design Fire Detection Systemmentioning

confidence: 99%

Forest Fire Detection Using Wireless Multimedia Sensor Networks and Image Compression

Bouakkaz¹,

Wided²,

Derdour³

2021

I2M

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“…Although the sensors nodes are low in cost, they have limited energy. [2] Figure 1 below displays Wireless Sensor Network architecture. "Clustering" is technique very efficient to prolong lifetime of network, by reducing energy consumption.…”

Section: Introductionmentioning

confidence: 99%

K-Means Efficient Energy Routing Protocol for Maximizing Vitality of WSNs

Bouakkaz¹,

Wided²,

Sabrina³

et al. 2021

Computational Optimization Techniques and Applications

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The progress of wireless communication and microelectronics create wireless sensor network, which is a very important field of research, The utilization of Wireless Sensor Network is growing and have a diversity applications like Military applications, Agriculture, Health care, Medical monitoring. The main issue of WSN is energy consumption, where prolonged network lifetime, is important necessity. From the solution proposed the Clustering with k-means is a successful technique for achieving these goals. This work is adaptation of one of the most famous protocol in WSN witch is Low Energy Adaptive Clustering Hierarchy (LEACH) in the clustering phase where the choice of number of clusters and their CHs.sing the k-means method and the distance between nodes and residual energy. Clustering k-means given a best partition with cluster separation. This chapter regulated as below, in section two we discussed related work used k-means to improved vitality of WSN. In the next section, we introduce the proposed adaptation protocol. The simulation resultsusing MATLAB have shown that the proposed protocol outperforms LEACH protocol and optimizes the nodes energy and thenetwork lifetime.

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Secure Mobile Data Offloading in Small Cell Networks

Cheriet

Mekhaznia

2022

2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)

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Improved Vitality of Wireless Sensor Network Using Grid Clustering With Multi-Hop Transmission Protocol Routing

Cited by 4 publications

References 0 publications

Forest Fire Detection Using Wireless Multimedia Sensor Networks and Image Compression

Forest Fire Detection Using Wireless Multimedia Sensor Networks and Image Compression

K-Means Efficient Energy Routing Protocol for Maximizing Vitality of WSNs

Secure Mobile Data Offloading in Small Cell Networks

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