Energy efficient resource optimization in cooperative Internet of Things networks

Ansere, James Adu; Kamal, Mohsin; Gyamfi, Eric; Sam, Frederick; Tariq, Muhammad; Mohammed, Abbas

doi:10.1016/j.iot.2020.100302

Cited by 19 publications

(13 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Over the last couple of years, the number of applications and devices that are operated by IoT networks has just doubled (approx. 8.4 billion in 2020 over 4.2 billion in 2018), passing through the number of the world's population [1][2][3][4][5][6][7][8]. Different researchers defined the concept of IoT in various ways based on the variety of technologies being used for a variety of purposes.…”

Section: Introductionmentioning

confidence: 99%

Internet of Things as a Sustainable Energy Management Solution at Tourism Destinations in India

2022

View full text Add to dashboard Cite

The development of tourist destinations has been determined by sustainable energy management and the advancement of traditional methods. The rate of development must adapt to technological innovations while also considering future generations. The present study aims to determine to what extent tourism personnel are aware of the skills, knowledge, and methods for sustainable energy management, and also to analyze the Internet of Things as a technological solution for sustainable energy management at tourism destinations in India with the help of the Servqual method. It is important to implement modern technologies such as internal things and develop a sustainable attitude toward tourism. Findings suggested that over each attribute of Servqual model, reliability, assurance, tangibles, empathy and responsiveness of IoT as sustainable energy management solutions at tourism destinations in India, tourism stakeholders have higher level of expectations (23.41, 19.86, 18.45, 23.60 and 24.73) and perceptions (18.34, 16.50, 14.97, 18.17 and 19.20) followed by tourists expectations (22.10, 17.36, 16.01, 22.62 and 21.87) and perceptions (19.32, 11.75, 09.46, 15.06 and 17.43) and local residents expectations (20.17, 14.61, 14.87, 19.46 and 18.81) and perceptions (13.48, 08.85, 07.73, 13.54 and 12.94), respectively. Results also showed that older generations and traditional tourism destinations are unable to cope with the modern advanced terminology, tools, and management strategies, which makes the present study the most significant about changing the traditional way of energy management and developing tourism destinations as sustainable and responsible.

show abstract

Section: Introductionmentioning

confidence: 99%

Internet of Things as a Sustainable Energy Management Solution at Tourism Destinations in India

2022

View full text Add to dashboard Cite

show abstract

“…The results show the outperformance of the PQFAHP to benchmark algorithms. Al‐Masri et al 14 proposed a resource allocation algorithm. The proposed resource allocation and scheduling approach, TOPREAL, aims to optimize the execution time, energy consumption, and cost of offloadable tasks in IoT environments.…”

Section: Related Workmentioning

confidence: 99%

Deadline‐cost aware task scheduling algorithm in fog computing networks

Sultan Hajam

2024

Int J Communication

View full text Add to dashboard Cite

SummaryThe Internet of Things (IoT) has provided us with various applications that need processing in real‐time. Fog computing has arisen as a highly effective computing paradigm that provides services closer to the IoT devices and hence fulfills the need for rapid response time and delay requirements of IoT applications. However, the heterogeneity of IoT tasks and the limited resources of fog nodes pose considerable challenges to task scheduling. Therefore, the effective utilization of fog resources is highly significant and necessitates an optimal and intelligent approach to task scheduling. This paper presents the “deadline‐cost aware task scheduling” (DCaTS) algorithm, which is designed for fog‐based IoT applications. The primary objective of this algorithm is to minimize the monetary cost while taking into account the deadline requirements and priority of tasks. The efficacy of DCaTS is assessed by analyzing various parameters, including completion time, monetary cost, response time, and waiting time. The experimental results show that in comparison with traditional policies, the proposed algorithm shows superiority in all the parameters. The proposed algorithm reduces the monetary cost up to 11.07% compared with the second best result. The results also indicate that DCaTS achieves a reduction of 10.05% in completion time, 10% in response time, and 10.12% in waiting time compared with the second best result.

show abstract

“…Researchers in Reference 88 proposed a collaborative strategy based on the TOPSIS method to allocate and plan resources based on energy efficiency. The results of the experiments revealed that the proposed method performs better in saving energy with moderate improvement compared to the existing algorithms.…”

Section: Energy Management In Fog Computingmentioning

confidence: 99%

Energy‐aware resource management in fog computing for IoT applications: A review, taxonomy, and future directions

Hashemi,

Sahafi,

Rahmani

et al. 2023

Softw Pract Exp

View full text Add to dashboard Cite

The energy demand for Internet of Things (IoT) applications is increasing with a rise in IoT devices. Rising costs and energy demands can cause serious problems. Fog computing (FC) has recently emerged as a model for location‐aware tasks, data processing, fast computing, and energy consumption reduction. The Fog computing model assists cloud computing in fast processing at the network's edge, which also exerts a vital role in cloud computing. Due to the fast computing in fog servers, different quality of service (QoS) approaches have been proposed in various sections of the fog system, and several quality factors have been considered in this regard. Despite the significance of QoS in Fog computing, no extensive study has focused on QoS and energy consumption methods in this area. Therefore, this article investigates previous research on the use and guarantee of Fog computing. This article reviews six general approaches that discuss the published articles between 2015 and late May 2023. The focal point of this paper is evaluating Fog computing and the energy consumption strategy. This article further shows the advantages, disadvantages, tools, types of evaluation, and quality factors according to the selected approaches. Based on the reviewed studies, some open issues and challenges in Fog computing energy consumption management are suggested for further study.

show abstract

Energy efficient resource optimization in cooperative Internet of Things networks

Cited by 19 publications

References 30 publications

Internet of Things as a Sustainable Energy Management Solution at Tourism Destinations in India

Internet of Things as a Sustainable Energy Management Solution at Tourism Destinations in India

Deadline‐cost aware task scheduling algorithm in fog computing networks

Energy‐aware resource management in fog computing for IoT applications: A review, taxonomy, and future directions

Contact Info

Product

Resources

About