Optimization-Based Approaches for Minimizing Deployment Costs for Wireless Sensor Networks with Bounded Estimation Errors

As wireless sensor networks have become more prevalent, data from sensors in daily life are constantly being recorded. Due to cost or energy consumption considerations, optimization-based approaches are proposed to reduce deployed sensors and yield results within the error tolerance. The correlation...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Chiu-Han Hsiao, Frank Yeong-Sung Lin, Hao-Jyun Yang, Yennun Huang, Yu-Fang Chen, Ching-Wen Tu, Si-Yao Zhang
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
Acceso en línea:https://doaj.org/article/12c5eab9506747a08d768f0c7e0b13cc
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:12c5eab9506747a08d768f0c7e0b13cc
record_format dspace
spelling oai:doaj.org-article:12c5eab9506747a08d768f0c7e0b13cc2021-11-11T19:07:33ZOptimization-Based Approaches for Minimizing Deployment Costs for Wireless Sensor Networks with Bounded Estimation Errors10.3390/s212171211424-8220https://doaj.org/article/12c5eab9506747a08d768f0c7e0b13cc2021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7121https://doaj.org/toc/1424-8220As wireless sensor networks have become more prevalent, data from sensors in daily life are constantly being recorded. Due to cost or energy consumption considerations, optimization-based approaches are proposed to reduce deployed sensors and yield results within the error tolerance. The correlation-aware method is also designed in a mathematical model that combines theoretical and practical perspectives. The sensor deployment strategies, including XGBoost, Pearson correlation, and Lagrangian Relaxation (LR), are determined to minimize deployment costs while maintaining estimation errors below a given threshold. Moreover, the results significantly ensure the accuracy of the gathered information while minimizing the cost of deployment and maximizing the lifetime of the WSN. Furthermore, the proposed solution can be readily applied to sensor distribution problems in various fields.Chiu-Han HsiaoFrank Yeong-Sung LinHao-Jyun YangYennun HuangYu-Fang ChenChing-Wen TuSi-Yao ZhangMDPI AGarticleLagrangian Relaxationnetwork deploymentpearson correlationwireless sensor networks (WSNs)XGBoostChemical technologyTP1-1185ENSensors, Vol 21, Iss 7121, p 7121 (2021)
institution DOAJ
collection DOAJ
language EN
topic Lagrangian Relaxation
network deployment
pearson correlation
wireless sensor networks (WSNs)
XGBoost
Chemical technology
TP1-1185
spellingShingle Lagrangian Relaxation
network deployment
pearson correlation
wireless sensor networks (WSNs)
XGBoost
Chemical technology
TP1-1185
Chiu-Han Hsiao
Frank Yeong-Sung Lin
Hao-Jyun Yang
Yennun Huang
Yu-Fang Chen
Ching-Wen Tu
Si-Yao Zhang
Optimization-Based Approaches for Minimizing Deployment Costs for Wireless Sensor Networks with Bounded Estimation Errors
description As wireless sensor networks have become more prevalent, data from sensors in daily life are constantly being recorded. Due to cost or energy consumption considerations, optimization-based approaches are proposed to reduce deployed sensors and yield results within the error tolerance. The correlation-aware method is also designed in a mathematical model that combines theoretical and practical perspectives. The sensor deployment strategies, including XGBoost, Pearson correlation, and Lagrangian Relaxation (LR), are determined to minimize deployment costs while maintaining estimation errors below a given threshold. Moreover, the results significantly ensure the accuracy of the gathered information while minimizing the cost of deployment and maximizing the lifetime of the WSN. Furthermore, the proposed solution can be readily applied to sensor distribution problems in various fields.
format article
author Chiu-Han Hsiao
Frank Yeong-Sung Lin
Hao-Jyun Yang
Yennun Huang
Yu-Fang Chen
Ching-Wen Tu
Si-Yao Zhang
author_facet Chiu-Han Hsiao
Frank Yeong-Sung Lin
Hao-Jyun Yang
Yennun Huang
Yu-Fang Chen
Ching-Wen Tu
Si-Yao Zhang
author_sort Chiu-Han Hsiao
title Optimization-Based Approaches for Minimizing Deployment Costs for Wireless Sensor Networks with Bounded Estimation Errors
title_short Optimization-Based Approaches for Minimizing Deployment Costs for Wireless Sensor Networks with Bounded Estimation Errors
title_full Optimization-Based Approaches for Minimizing Deployment Costs for Wireless Sensor Networks with Bounded Estimation Errors
title_fullStr Optimization-Based Approaches for Minimizing Deployment Costs for Wireless Sensor Networks with Bounded Estimation Errors
title_full_unstemmed Optimization-Based Approaches for Minimizing Deployment Costs for Wireless Sensor Networks with Bounded Estimation Errors
title_sort optimization-based approaches for minimizing deployment costs for wireless sensor networks with bounded estimation errors
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/12c5eab9506747a08d768f0c7e0b13cc
work_keys_str_mv AT chiuhanhsiao optimizationbasedapproachesforminimizingdeploymentcostsforwirelesssensornetworkswithboundedestimationerrors
AT frankyeongsunglin optimizationbasedapproachesforminimizingdeploymentcostsforwirelesssensornetworkswithboundedestimationerrors
AT haojyunyang optimizationbasedapproachesforminimizingdeploymentcostsforwirelesssensornetworkswithboundedestimationerrors
AT yennunhuang optimizationbasedapproachesforminimizingdeploymentcostsforwirelesssensornetworkswithboundedestimationerrors
AT yufangchen optimizationbasedapproachesforminimizingdeploymentcostsforwirelesssensornetworkswithboundedestimationerrors
AT chingwentu optimizationbasedapproachesforminimizingdeploymentcostsforwirelesssensornetworkswithboundedestimationerrors
AT siyaozhang optimizationbasedapproachesforminimizingdeploymentcostsforwirelesssensornetworkswithboundedestimationerrors
_version_ 1718431569089134592