I-AREOR: An energy-balanced clustering protocol for implementing green IoT in smart cities

Chithaluru, Premkumar; Al‐Turjman, Fadi; Kumar, Manoj; Stephan, Thompson

doi:10.1016/j.scs.2020.102254

Cited by 86 publications

(21 citation statements)

References 38 publications

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“…In 2020, Chithaluru et al 25 implemented an “improved‐adaptive ranking based energy‐efficient opportunistic routing protocol (I‐AREOR)” based on the residual energy, regional density, and relative distance. This model has to improve energy efficiency by considering the death of all the nodes.…”

Section: Literature Surveymentioning

confidence: 99%

A novel hybrid meta‐heuristic concept for green communication in IoT networks: An intelligent clustering model

Akhtar

Ahamad²,

Abdalrahman

et al. 2022

Int J Communication

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Summary Nowadays, there is an emerging need for applications based on the Internet of Things (IoT). The sensor nodes present in the IoT network produce data constantly, which directly influences the durability of the network. Therefore, two major challenges while designing IoT systems are network lifetime and energy consumption. Although the ability of IoT applications is huge, there are several limitations such as energy optimization, heterogeneity of devices storage, load balancing, privacy, and security that have to be addressed. These constraints have to be optimized for improving the efficiency of the networks. Hence, the main intention of this paper is to develop the intelligent‐based cluster head selection model for accomplishing green communication in IoT. The two famous algorithms like spotted hyena optimization (SHO) and sun flower optimization (SFO) are integrated to form sun flower‐spotted hyena optimization (SF‐SHO) by utilizing the hybrid meta‐heuristic concept for the optimal cluster head selection. The most significant parameters in IoT networks like delay, distance, energy, temperature, and load are considered for deriving a multi‐objective function to offer optimal clustering. The cluster head of the model is optimally tuned based on the hybrid SF‐SHO, to solve the multi‐objective problem, thus showing the enhanced green communication performance. The proposed model is analyzed and evaluated over different approaches in terms of energy‐specific factors, and the attained results confirm the efficiency of the developed method.

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Section: Literature Surveymentioning

confidence: 99%

A novel hybrid meta‐heuristic concept for green communication in IoT networks: An intelligent clustering model

Akhtar

Ahamad²,

Abdalrahman

et al. 2022

Int J Communication

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“…By reviewing and assessing the effort in making a sustainable and smart city by Hong Kong, the research paper enables and aware other researchers regarding the overall future positioning and quality of smart cities in achieving a sustainable and smart Hong Kong. [296] Development of Green Wireless Sensor Network with the help of IoT Network to improve sensorbased communication quality in smart cities.…”

Section: K Smart Environmentmentioning

confidence: 99%

Future Smart Cities: Requirements, Emerging Technologies, Applications, Challenges, and Future Aspects

Javed¹,

Zikria²,

Rehman³

et al. 2021

Preprint

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“…Besides, practical, energyefficient routing technologies may provide efficient solutions such as multi-track routing or cluster architectures. Finally, the above methods and examples Reduce energy consumption for the IoT [19,39,40].…”

Section: E Green Iotmentioning

confidence: 99%

Energy Management for Internet of Things via Distributed Systems

Sadeeq

Zeebaree

2021

JASTT

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The distributed energy system (DES) architecture is subject to confusion about renewable energy limits, primary energy supply and energy carriers' costs. For the grid to use unreliable electricity sources, the end-user's on-demand presence in the intelligent energy management context is essential. The participation of end-users could influence the management of the system and the volatility of energy prices. By delivering auxiliary services using demand side-resource to increase system reliability, robust planning, constraint control and scheduling, consumers may support grid operators. The optimized approach to managing energy resources enhances demand response to renewable energy sources integrally, controls the demand curve with load versatility as the system requires it. The opportunity to adjust/regulate the charging profile by choosing a particular device. This article discusses a literature and policy analysis that looks at the role of energy management system aggregators and the end-users participating in subsidiary systems within Smart Grid programmers and technologies. In the implementation of aggregators for energy management systems, the objective is to understand the patterns, threats, obstacles and potential obstacles.

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I-AREOR: An energy-balanced clustering protocol for implementing green IoT in smart cities

Cited by 86 publications

References 38 publications

A novel hybrid meta‐heuristic concept for green communication in IoT networks: An intelligent clustering model

A novel hybrid meta‐heuristic concept for green communication in IoT networks: An intelligent clustering model

Future Smart Cities: Requirements, Emerging Technologies, Applications, Challenges, and Future Aspects

Energy Management for Internet of Things via Distributed Systems

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