On Wireless Sensor Network Models: A Cross-Layer Systematic Review
Wireless sensor networks (WSNs) have been adopted in many fields of application, such as industrial, civil, smart cities, health, and the surveillance domain, to name a few. Fateway and sensor nodes conform to WSN, and each node integrates processor, communication, sensor, and power supply modules,...
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Format: | Article |
Language: | English |
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MDPI AG
2023-06-01
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Series: | Journal of Sensor and Actuator Networks |
Subjects: | |
Online Access: | https://www.mdpi.com/2224-2708/12/4/50 |
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author | Fernando Ojeda Diego Mendez Arturo Fajardo Frank Ellinger |
author_facet | Fernando Ojeda Diego Mendez Arturo Fajardo Frank Ellinger |
author_sort | Fernando Ojeda |
collection | DOAJ |
description | Wireless sensor networks (WSNs) have been adopted in many fields of application, such as industrial, civil, smart cities, health, and the surveillance domain, to name a few. Fateway and sensor nodes conform to WSN, and each node integrates processor, communication, sensor, and power supply modules, sending and receiving information of a covered area across a propagation medium. Given the increasing complexity of a WSN system, and in an effort to understand, comprehend and analyze an entire WSN, different metrics are used to characterize the performance of the network. To reduce the complexity of the WSN architecture, different approaches and techniques are implemented to capture (model) the properties and behavior of particular aspects of the system. Based on these WSN models, many research works propose solutions to the problem of abstracting and exporting network functionalities and capabilities to the final user. Modeling an entire WSN is a difficult task for researchers since they must consider all of the constraints that affect network metrics, devices and system administration, holistically, and the models developed in different research works are currently focused only on a specific network layer (physical, link, or transport layer), making the estimation of the WSN behavior a very difficult task. In this context, we present a systematic and comprehensive review focused on identifying the existing WSN models, classified into three main areas (node, network, and system-level) and their corresponding challenges. This review summarizes and analyzes the available literature, which allows for the general understanding of WSN modeling in a holistic view, using a proposed taxonomy and consolidating the research trends and open challenges in the area. |
first_indexed | 2024-03-10T23:48:30Z |
format | Article |
id | doaj.art-638552fdab7d41c89bcb614d7e384af1 |
institution | Directory Open Access Journal |
issn | 2224-2708 |
language | English |
last_indexed | 2024-03-10T23:48:30Z |
publishDate | 2023-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Journal of Sensor and Actuator Networks |
spelling | doaj.art-638552fdab7d41c89bcb614d7e384af12023-11-19T01:49:47ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082023-06-011245010.3390/jsan12040050On Wireless Sensor Network Models: A Cross-Layer Systematic ReviewFernando Ojeda0Diego Mendez1Arturo Fajardo2Frank Ellinger3Electronics Engineering Department, Pontificia Universidad Javeriana, Bogotá 110231, ColombiaElectronics Engineering Department, Pontificia Universidad Javeriana, Bogotá 110231, ColombiaElectronics Engineering Department, Pontificia Universidad Javeriana, Bogotá 110231, ColombiaChair for Circuit Design and Network Theory, Technische Universität Dresden, 01069 Dresden, GermanyWireless sensor networks (WSNs) have been adopted in many fields of application, such as industrial, civil, smart cities, health, and the surveillance domain, to name a few. Fateway and sensor nodes conform to WSN, and each node integrates processor, communication, sensor, and power supply modules, sending and receiving information of a covered area across a propagation medium. Given the increasing complexity of a WSN system, and in an effort to understand, comprehend and analyze an entire WSN, different metrics are used to characterize the performance of the network. To reduce the complexity of the WSN architecture, different approaches and techniques are implemented to capture (model) the properties and behavior of particular aspects of the system. Based on these WSN models, many research works propose solutions to the problem of abstracting and exporting network functionalities and capabilities to the final user. Modeling an entire WSN is a difficult task for researchers since they must consider all of the constraints that affect network metrics, devices and system administration, holistically, and the models developed in different research works are currently focused only on a specific network layer (physical, link, or transport layer), making the estimation of the WSN behavior a very difficult task. In this context, we present a systematic and comprehensive review focused on identifying the existing WSN models, classified into three main areas (node, network, and system-level) and their corresponding challenges. This review summarizes and analyzes the available literature, which allows for the general understanding of WSN modeling in a holistic view, using a proposed taxonomy and consolidating the research trends and open challenges in the area.https://www.mdpi.com/2224-2708/12/4/50wireless sensor networkmodelsanalysisenergy modelscoverage |
spellingShingle | Fernando Ojeda Diego Mendez Arturo Fajardo Frank Ellinger On Wireless Sensor Network Models: A Cross-Layer Systematic Review Journal of Sensor and Actuator Networks wireless sensor network models analysis energy models coverage |
title | On Wireless Sensor Network Models: A Cross-Layer Systematic Review |
title_full | On Wireless Sensor Network Models: A Cross-Layer Systematic Review |
title_fullStr | On Wireless Sensor Network Models: A Cross-Layer Systematic Review |
title_full_unstemmed | On Wireless Sensor Network Models: A Cross-Layer Systematic Review |
title_short | On Wireless Sensor Network Models: A Cross-Layer Systematic Review |
title_sort | on wireless sensor network models a cross layer systematic review |
topic | wireless sensor network models analysis energy models coverage |
url | https://www.mdpi.com/2224-2708/12/4/50 |
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