An energy‐efficient technique for mobile‐wireless‐sensor‐network‐based IoT

Singla, Jatin; Mahajan, Rita; Bagai, Deepak

doi:10.4218/etrij.2021-0084

Cited by 6 publications

(4 citation statements)

References 41 publications

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“…We utilized a T-test to determine the significance levels, considering a confidence interval of 95%. The results in tables [6][7][8] revealed that the performance improvements achieved by the NN_MH LEACH protocol were statistically significant, reinforcing the validity and reliability of the findings…”

Section: Limitations and Challengesmentioning

confidence: 60%

“…Figs. [6][7][8][9][10][11][12][13] Compare the performance of LEACH and NN_MH-LEACH mechanisms in terms of network lifetime, energy consumption, and packet delivery ratio. The results demonstrate the superiority of the proposed NN_MH LEACH protocol over the traditional LEACH protocol.…”

Section: Resultsmentioning

confidence: 99%

“…Energy is a fundamental requirement for sensing nodes, but recharging or replacing batteries is not feasible in remote or hazardous environments. Therefore, energy conservation becomes crucial [6].…”

Section: Introductionmentioning

confidence: 99%

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A Modified LEACH Protocol Using Multi-Hop Mechanism and Neural Networks for IoT Applications

H. El-Sayed,

M. Abd-Elgaber,

Zanaty

et al. 2024

Sohag Journal of Sciences

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The wireless sensor network is a big field for researchers because it has a lot of applications. One of these applications is IoT. IoT has a lot of applications in agriculture, Traffic Monitoring, smart homes, smart cities...etc. WSN has the challenge to reduce the consumed energy through it over time because sometimes it is hard to change the sensor nodes in the network that may be in different environment conditions in applications like forest detection, military battlefield, and other extreme environments. Therefore, it is critical to prolong the network's lifespan and conserve the power as much as possible. Hierarchical routing efficiently reduces consumed energy by aggregating and fusing data. It reduces the transmissions to the base station (BS). LEACH (Low Energy Adaptive Clustering Hierarchy) is one of the hierarchical protocols that cluster sensor nodes and aim to prolong the lifetime of the network. In this paper, we aim to produce LEACH in a modified form by using Multi-hop LEACH and Neural networks. We used MATLAB environment to simulate the proposed protocol that we called NNMH_LEACH and to make all the comparisons that prove that the proposed method is enhancing the network's lifespan and decreasing the consumed energy by nodes all over the rounds. LEACH and Multi-hop LEACH are outperformed by the suggested protocol. The simulation and all of the results are discussed in this publication.

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Section: Limitations and Challengesmentioning

confidence: 60%

Section: Resultsmentioning

confidence: 99%

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A Modified LEACH Protocol Using Multi-Hop Mechanism and Neural Networks for IoT Applications

H. El-Sayed,

M. Abd-Elgaber,

Zanaty

et al. 2024

Sohag Journal of Sciences

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“…Hence, no random CH selection is done. Singla et al [51] proposed a CH selection algorithm for mobile sensor nodes with RF energy harvesting, using a K-means clustering algorithm. Dhanusha [52] proposed a Weighted Rendezvous Planning (WRP) algorithm to control the movement of mobile sink in WSN to reduce consumed energy.…”

Section: Energy Optimization-based Clustering Algorithmsmentioning

confidence: 99%

Investigation of Energy Efficient Clustering Algorithms in WSNs: A Review

Ahmad¹,

Al-Nayar²,

Mahmood³

2022

MMEP

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In recent years, Wireless Sensor Networks (WSNs) are attracting more attention in many fields as they are extensively used in a wide range of applications, such as environment monitoring, the Internet of Things, industrial operation control, electric distribution, and the oil industry. One of the major concerns in these networks is the limited energy sources. Clustering and routing algorithms represent one of the critical issues that directly contribute to power consumption in WSNs. Therefore, optimization techniques and routing protocols for such networks have to be studied and developed. This paper focuses on the most recent studies and algorithms that handle energy-efficiency clustering and routing in WSNs. In addition, the prime issues in these networks are discussed and summarized using comparison tables, including the main features, limitations, and the kind of simulation toolbox. Energy efficiency is compared between some techniques and showed that according to clustering mode “Distributed” and CH distribution “Uniform”, HEED and EECS are best, while in the non-uniform clustering, both DDAR and THC are efficient. According to clustering mode “Centralized” and CH distribution “Uniform”, the LEACH-C protocol is more effective.

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Highly adaptive and broadband triboelectric energy harvester with stretching silicone rubber strip for variable harmonic frequency vibration

Du,

Shen,

et al. 2023

Nano Res.

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An energy‐efficient technique for mobile‐wireless‐sensor‐network‐based IoT

Cited by 6 publications

References 41 publications

A Modified LEACH Protocol Using Multi-Hop Mechanism and Neural Networks for IoT Applications

A Modified LEACH Protocol Using Multi-Hop Mechanism and Neural Networks for IoT Applications

Investigation of Energy Efficient Clustering Algorithms in WSNs: A Review

Highly adaptive and broadband triboelectric energy harvester with stretching silicone rubber strip for variable harmonic frequency vibration

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