Efficient data aggregation with node clustering and extreme learning machine for WSN

Ullah, Ihsan; Youn, Hee Yong

doi:10.1007/s11227-020-03236-8

Cited by 60 publications

(36 citation statements)

References 29 publications

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“…WSNs need efficient data aggregation since sensors frequently capture data that can contain a significant amount of noise and redundant information. To mitigate this problem Ullah et al [39] proposed a data-aggregation scheme based on node clustering that leverages data similarity and density. Instead of contributing to the CH-selection, they applied filtering procedures to reduce the noise in data before sending them to the CH and extreme learning machine to aggregate data in the CH.…”

Section: Sdn-based Wsn With Clusteringmentioning

confidence: 99%

SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT

et al. 2021

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Software-Defined Networking (SDN) and Blockchain are leading technologies used worldwide to establish safe network communication as well as build secure network infrastructures. They provide a robust and reliable platform to address threats and face challenges such as security, privacy, flexibility, scalability, and confidentiality. Driven by these assumptions, this paper presents an optimized energyefficient and secure Blockchain-based software-defined IoT framework for smart networks. Indeed, SDN and Blockchain technologies have proven to be able to suitably manage resource utilization and to develop secure network communication across the IoT ecosystem. However, there is a lack of research works that present a comprehensive definition of such a framework that can meet the requirements of the IoT ecosystem (i.e. efficient energy utilization and reduced end-to-end delay). Therefore, in this research, we present a layered hierarchical architecture for the deployment of a distributed yet efficient Blockchain-enabled SDN-IoT framework that ensures efficient cluster-head selection and secure network communication via the identification and isolation of rouge switches. Besides, the Blockchain-enabled flow-rules record keeps track of the rules enforced in the switches and maintains the consistency within the controller cluster. Finally, we assess the performance of the proposed framework in a simulation environment and show that it can achieve optimized energy-utilization, end-to-end delay, and throughput compared to considered baselines, thus being able to achieve efficiency and security in the smart network.

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Section: Sdn-based Wsn With Clusteringmentioning

confidence: 99%

SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT

et al. 2021

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“…Ullah et al [1] suggest a data collection framework based on the node clustering, which eliminates redundant and incorrect data effectively. In order to reduce the instability of the training process, the distance based radial function of Mahalanobis is applied in the projection step.…”

Section: Literature Reviewmentioning

confidence: 99%

“…During data transmission, energy consumption is the main issue because sensor nodes have limited energy capacity. WSN needs load balancing algorithms that keep the use of the limited energy source to route the collected data to the receiving node [1].…”

Section: Introductionmentioning

confidence: 99%

A Review on Energy Efficient Clustering Algorithms for IOT Application

Adlak¹,

Meena²

2021

IJOSCIENCE

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A large range of applications in different areas are available in wireless sensor networks (WSNs). The Internet of Things (IoT), which allows connections between various objects or devices through the internet, was one of the most recent emerging applications. However, as opposed to mobile ad-hoc networks, WSNs have a greater concern for battery capacity, which affects the network’s durability. Therefore, numerous studies have focused on reducing the WSN’s energy use. One of the many approaches to minimizing the energy of the WSNs is to design a hierarchical clustering algorithm. In this paper, an algorithm for IoT applications is presented that is based on energy-efficient clustering and the cluster head election process

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“…Experimental analysis showcases a significantly good performance of the proposed algorithm in terms of accuracy in clustering, energy efficiency over the existing clustering algorithms. Research work [14] deploys the concept of clusters to increase the lifetime of wireless sensor network. The entire network is partitioned in to clusters using a three tier clustering algorithm.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Clustering Algorithm for Mobile Cluster Heads to Enhance the Lifespan of Wireless Sensor Network

Manikandan¹,

Kumar²

2021

INDJCSE

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Minimizing the formation of energy holes is an important research issues to be dealt in Wireless SensorNetworks. The contributions of the paper are two-fold. First we have proposed a novel energy efficient clustering algorithm along with a novel cluster head selection process which reduces the formation of energy holes in the network thus increasing the lifetime of wireless sensor network. Another significant contribution is that we have optimized the sojourn time of the cluster head based on the residual energy of the one hop sensors. We argue that our proposed work is efficient in dealing with various design and implementation issues of clustering procedures subsist in the existing works. The efficiency analysis is studied and presented. Also the time efficiency analysis of the proposed clustering algorithm is calculated. Simulation experiments showcase a noteworthy improvement in network lifetime in comparison with the existing algorithms.

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Efficient data aggregation with node clustering and extreme learning machine for WSN

Cited by 60 publications

References 29 publications

SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT

SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT

A Review on Energy Efficient Clustering Algorithms for IOT Application

Energy Efficient Clustering Algorithm for Mobile Cluster Heads to Enhance the Lifespan of Wireless Sensor Network

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