Residual Energy-Aware Clustering Transformation for LEACH Protocol

P., Ullas; Shivaprakasha, K. S.

doi:10.26636/jtit.2021.147420

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…These CHs are primarily responsible for data aggregation, managing node transmissions, reducing data redundancies, compressing information, and forwarding the compressed data to either a base station or another CH [10,11]. The Low Energy Adaptive Clustering Hierarchy (LEACH) protocol has emerged as a significant contribution, extensively utilized in mobile Ad Hoc networks [12][13][14]. The LEACH protocol employs a probabilistic methodology to determine CHs for each round, enabling each CH to assign Time Division Multiple Access (TDMA) schedules to its corresponding nodes for data forwarding within specific time frames.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Cluster Head Selection in Mobile Ad Hoc Networks: A Connectivity Probability Approach Using Poisson Distribution and Residual Energy

Tawfeeq

2023

ISI

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The selection of an optimal cluster head (CH) node, acting as an intermediary between the base station and ancillary nodes, is a pivotal challenge in mobile Ad Hoc networks, significantly impacting network performance and efficiency. This study introduces a novel approach for CH node selection in Mobile Ad Hoc Networks (MANETs), aiming to bolster network efficiency. This approach selects the head of a nodes cluster based on the Connectivity Probability (CP), derived from the Poisson probability and each node's residual energy. The Poisson distribution, governed by a key parameter, lambda, serves to determine the likelihood of a specific outcome. In the context of this study, lambda signifies the average distance between any given node and the base station, measured relative to their communication range. Considering the direct influence of a node's residual energy on connection probability, the product of these two parameters is computed to ascertain CP. Nodes demonstrating the highest CP values are considered prime candidates for CH selection. The efficacy of the proposed algorithm was evaluated against established protocols, namely the LEACH and R-LEACH. Simulation results suggest that the proposed algorithm significantly improves network performance, extending the network lifetime by over 6 times and 3 times that of LEACH and R-LEACH, respectively. It also enhances network stability by approximately 7 times compared to LEACH and over 2 times that of R-LEACH. Furthermore, the algorithm notably improves throughput, exhibiting an increase by approximately 7 times relative to both protocols. In conclusion, the proposed algorithm offers a promising strategy for CH node selection in MANETs, potentially benefitting a wide gamut of applications.

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Section: Introductionmentioning

confidence: 99%

Optimizing Cluster Head Selection in Mobile Ad Hoc Networks: A Connectivity Probability Approach Using Poisson Distribution and Residual Energy

Tawfeeq

2023

ISI

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“…Compressive sensing (CS) is used to obtain data from WSNs. [24] CS retrieves all WSN data at the sink node. With cluster-based techniques, the CS algorithm saves energy.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Data Aggregation and Density-Based Spatial Clustering of Applications with Noise for Activity Monitoring in Wireless Sensor Networks

Singh¹,

din²

2022

Eng. Sci.

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Clustering saves energy and extends network longevity in applications such as activity monitoring in wireless sensor networks. Clustering separate tes nodes into clusters from which the cluster head can collect and send data to the base station. The current investigation also demonstrates data aggregation at the cluster head before sending it to the base station. The cluster head is chosen based on leftover energy and distance from the sink and other network nodes. The current study found that the existing clustering protocol decays its energy quickly, but our proposal can overcome these challenges and sensors can survive longer. This paper proposes Density-based Spatial Clustering of Applications with Noise (DB-SCAN) clustering algorithms to make data gathering and transmitting of data energy efficient. The data aggregation protocol will collect the packets and combine them. Further, it will be forwarded using the clustering approach. It is used to improve transmission efficiency by reducing the transmission of redundant data to the sink. This proposed protocol, Energy Efficient Cluster based Data Aggregation (EECDA), will help increase network lifetime by ensuring uniform distribution of energy amongst the nodes.

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“…Extended TL-LEACH outperforms in terms of energy consumption, node's service life, and communication latency is significantly reduced. In [17], a Residual Energy-Aware Clustering Transformation (REACT) protocol is proposed for LEACH, which improves its achievement by providing a clustering technique. A modified end-to-end reliable LEACH (ME-LEACH) algorithm is presented in [18] to boost the lifetime of a WSN by altering the data communication from a CH to the BS.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Cluster Head Selection in LEACH for Reducing Energy Consumption in Wireless Sensor Networks

ALRUBAYE

Myderrizi

2022

IJET

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Residual Energy-Aware Clustering Transformation for LEACH Protocol

Cited by 4 publications

References 22 publications

Optimizing Cluster Head Selection in Mobile Ad Hoc Networks: A Connectivity Probability Approach Using Poisson Distribution and Residual Energy

Optimizing Cluster Head Selection in Mobile Ad Hoc Networks: A Connectivity Probability Approach Using Poisson Distribution and Residual Energy

Energy Efficient Data Aggregation and Density-Based Spatial Clustering of Applications with Noise for Activity Monitoring in Wireless Sensor Networks

Improvement of Cluster Head Selection in LEACH for Reducing Energy Consumption in Wireless Sensor Networks

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