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Open AccessJournal ArticleDOI

Residual Energy-Based Cluster-Head Selection in WSNs for IoT Application

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TLDR
A efficient CH election scheme that rotates the CH position among the nodes with higher energy level as compared to other to elect the next group of CHs for the network that suits for IoT applications, such as environmental monitoring, smart cities, and systems is proposed.
Abstract
Wireless sensor networks (WSNs) groups specialized transducers that provide sensing services to Internet of Things (IoT) devices with limited energy and storage resources. Since replacement or recharging of batteries in sensor nodes is almost impossible, power consumption becomes one of the crucial design issues in WSN. Clustering algorithm plays an important role in power conservation for the energy constrained network. Choosing a cluster head (CH) can appropriately balance the load in the network thereby reducing energy consumption and enhancing lifetime. This paper focuses on an efficient CH election scheme that rotates the CH position among the nodes with higher energy level as compared to other. The algorithm considers initial energy, residual energy, and an optimum value of CHs to elect the next group of CHs for the network that suits for IoT applications, such as environmental monitoring, smart cities, and systems. Simulation analysis shows the modified version performs better than the low energy adaptive clustering hierarchy protocol by enhancing the throughput by 60%, lifetime by 66%, and residual energy by 64%.

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Citations
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Journal ArticleDOI

A survey on internet of things security: Requirements, challenges, and solutions

TL;DR: A taxonomy that taps into the three-layer IoT architecture as a reference to identify security properties and requirements for each layer is built upon, classifying the potential IoT security threat and challenges by an architectural view.
Journal ArticleDOI

Applications of Wireless Sensor Networks and Internet of Things Frameworks in the Industry Revolution 4.0: A Systematic Literature Review

TL;DR: This systematic literature review offers a wide range of information on Industry 4.0 from the designing phase to security needs, from the deployment stage to the classification of the network, the difficulties, challenges, and future directions.
Journal ArticleDOI

I-SEP: An Improved Routing Protocol for Heterogeneous WSN for IoT-Based Environmental Monitoring

TL;DR: An improvement of the existing stable election protocol (SEP) that implements a threshold-based cluster head (CH) selection for a heterogeneous network that outperforms SEP and DEEC protocols with an improvement of 300% in network lifetime and 56% in throughput.
Journal ArticleDOI

A novel dynamic clustering approach for energy hole mitigation in Internet of Things-based wireless sensor network

TL;DR: The dynamic and energy‐efficient clustering for energy hole mitigation (DECEM) is proposed and the simulation experiments reveal that DECEM has enhanced stability period by 5% and 31% as compared to the MEEC and IDHR protocols, respectively.
Journal ArticleDOI

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

TL;DR: In this article, the authors presented an optimized energy-efficient and secure blockchain-based software-defined IoT framework for smart networks, which ensures efficient cluster-head selection and secure network communication via the identification and isolation of rouge switches.
References
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Proceedings ArticleDOI

Energy-efficient communication protocol for wireless microsensor networks

TL;DR: The Low-Energy Adaptive Clustering Hierarchy (LEACH) as mentioned in this paper is a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network.

Energy-efficient communication protocols for wireless microsensor networks

TL;DR: LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network, is proposed.
Journal ArticleDOI

An application-specific protocol architecture for wireless microsensor networks

TL;DR: This work develops and analyzes low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality.
Journal ArticleDOI

Internet of Things (IoT): A vision, architectural elements, and future directions

TL;DR: In this article, the authors present a cloud centric vision for worldwide implementation of Internet of Things (IoT) and present a Cloud implementation using Aneka, which is based on interaction of private and public Clouds, and conclude their IoT vision by expanding on the need for convergence of WSN, the Internet and distributed computing directed at technological research community.
Journal ArticleDOI

Research Directions for the Internet of Things

TL;DR: A vision for how IoT could change the world in the distant future is presented and eight key research topics are enumerated and research problems within these topics are discussed.
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