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...
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2021
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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) |
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Lagrangian Relaxation network deployment pearson correlation wireless sensor networks (WSNs) XGBoost Chemical technology TP1-1185 |
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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 |
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