Review of WSN and Its Quality of Service Parameters Using Nature-Inspired Algorithm

Mahapatra, Cosmena; Payal, Ashish; Chopra, Madhu

doi:10.1007/978-981-15-0324-5_39

Cited by 3 publications

(3 citation statements)

References 22 publications

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“…Some SLRs have been conducted in the area of optimization of WSN. Mahapatra et al [5] presented a review of WSN and its Quality of Service (QoS) parameters using Nature-Inspired (NA) Optimization Algorithms. The SLR focused on papers that are concerned with optimizing the parameters of QoS of the WSN.…”

Section: Related Workmentioning

confidence: 99%

A Systematic Literature Review on Metaheuristic Optimization Techniques in WSNs

2020

International Journal of Mathematics and Computers in Simulation

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Metaheuristic algorithms are recognized for developing new algorithms and optimizing various aspects in Wireless Sensor Networks (WSNs). Evaluating a multitude of possible modes is required, in most complicated problems, to obtain an exact solution. Metaheuristic algorithms can obtain solutions in acceptable time constraints. These algorithms play an operational role in solving such problems by optimizing the different metrics such as coverage rate and energy consumption of the networks. These metrics have valuable impact on network lifetime as well. This systematic review focuses on the published work from 2010 to 2020 in metaheuristic optimization in WSN. Furthermore, the systematic review will answer multiple questions that will be discussed in the methodology section.

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Section: Related Workmentioning

confidence: 99%

A Systematic Literature Review on Metaheuristic Optimization Techniques in WSNs

2020

International Journal of Mathematics and Computers in Simulation

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“…So the IoT has been verified via the use of Wireless Sensor Networks (WSNs) and the biomimetics have seen exponential growth as WSNs has been also employed in a great variety of practical problem areas which need a common means to share data over the Internet Borges (Neto, et al, 2015). The important of nature inspired algorithms used in WSN model is discussed detail in recent work (Mahapatra, Payal, & Chopra, 2020).…”

Section: Introductionmentioning

confidence: 99%

Untitled

2022

·C TIC

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Technology in the educational field has provided teachers with digital tools to develop different types of educational resources and materials. This allows them to use, improve and combine other teaching materials to design new digital didactic materials (MDD) that promote "the circular economy of didactic materials". This paper exposes the design and development process under this approach of a digital tutorial with genially software in a subject of Mathematics in the Degree in Business Administration and Management. Its use is proposed in the context of the Flipped Classroom model to promote autonomous student learning. We analyze different data about the use of the tutorial and the perception of the students about its design and usefulness. The assessment is positive highlighting its usefulness for learning its content.

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Section: Introductionmentioning

confidence: 99%

Understanding the viability of integrating WSN with IoT using cloud infrastructure

Mahapatra¹,

Payal²,

Chopra³

2022

·C TIC

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IEEE 802.15.4, Wireless Sensor Networks, have increasingly become an important part of many sustainable development applications. However, due to the energy expenditure restrictions of Wireless Sensor Networks, it has become imperative to optimize its usage and reach ability through a amalgam of nature inspired techniques, Internet of things and cloud. In our study, we have used CupCarbon simulator to first establish the workability of such a model and to see if nature inspired algorithms technique may be used to develop and optimization wireless sensor network integrated Internet of Things cloud based modals as efficient solutions to modern problems. A resultant application was designed to handle healthcare facilities through the specified infrastructure. On the basis of the feedback from the usage of application, the study was able to infer that despite the challenges, Internet of Things, wireless sensor networks and cloud, although separate technologies, may be used together to deliver ‘smart’ applications in the field of smart town, smart residences and smart security.

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Review of WSN and Its Quality of Service Parameters Using Nature-Inspired Algorithm

Cited by 3 publications

References 22 publications

A Systematic Literature Review on Metaheuristic Optimization Techniques in WSNs

A Systematic Literature Review on Metaheuristic Optimization Techniques in WSNs

Untitled

Understanding the viability of integrating WSN with IoT using cloud infrastructure

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