Age of Information-Aware Networks for Low-Power IoT Sensor Applications
The Internet of Things (IoT) is a fast-growing field that has found a variety of applications, such as smart agriculture and industrial processing. In these applications, it is important for nodes to maximize the amount of useful information transmitted over a limited channel. This work seeks to imp...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | IoT |
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| Online Access: | https://www.mdpi.com/2624-831X/5/4/37 |
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| author | Frederick M. Chache Sean Maxon Ram M. Narayanan Ramesh Bharadwaj |
| author_facet | Frederick M. Chache Sean Maxon Ram M. Narayanan Ramesh Bharadwaj |
| author_sort | Frederick M. Chache |
| collection | DOAJ |
| description | The Internet of Things (IoT) is a fast-growing field that has found a variety of applications, such as smart agriculture and industrial processing. In these applications, it is important for nodes to maximize the amount of useful information transmitted over a limited channel. This work seeks to improve the performance of low-powered sensor networks by developing an architecture that leverages existing techniques such as lossy compression and different queuing strategies in order to minimize their drawbacks and meet the performance needs of backend applications. The Age of Information (AoI) provides a useful metric for quantifying Quality of Service (QoS) in low-powered sensor networks and provides a method for measuring the freshness of data in the network. In this paper, we investigate QoS requirements and the effects of lossy compression and queue strategies on AoI. Furthermore, two important use cases for low-powered IoT sensor networks are studied, namely, real-time feedback control and image classification. The results highlight the relative importance of QoS metrics for applications with different needs. To this end, we introduce a QoS-aware architecture to optimize network performance for the QoS requirements of the studied applications. The proposed network architecture was tested with a mixture of application traffic settings and was shown to greatly improve network QoS compared to commonly used transmission architectures such as Slotted ALOHA. |
| format | Article |
| id | doaj-art-8697f5d4a48b4f23ad50be00ace1e5e5 |
| institution | Kabale University |
| issn | 2624-831X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | IoT |
| spelling | doaj-art-8697f5d4a48b4f23ad50be00ace1e5e52024-12-27T14:31:39ZengMDPI AGIoT2624-831X2024-11-015481683410.3390/iot5040037Age of Information-Aware Networks for Low-Power IoT Sensor ApplicationsFrederick M. Chache0Sean Maxon1Ram M. Narayanan2Ramesh Bharadwaj3Arcfield, Herndon, VA 20151, USAThe U.S. Naval Research Laboratory, Washington, DC 20375, USADepartment of Electrical Engineering, The Pennsylvania State University, University Park, PA 16802, USAThe U.S. Naval Research Laboratory, Washington, DC 20375, USAThe Internet of Things (IoT) is a fast-growing field that has found a variety of applications, such as smart agriculture and industrial processing. In these applications, it is important for nodes to maximize the amount of useful information transmitted over a limited channel. This work seeks to improve the performance of low-powered sensor networks by developing an architecture that leverages existing techniques such as lossy compression and different queuing strategies in order to minimize their drawbacks and meet the performance needs of backend applications. The Age of Information (AoI) provides a useful metric for quantifying Quality of Service (QoS) in low-powered sensor networks and provides a method for measuring the freshness of data in the network. In this paper, we investigate QoS requirements and the effects of lossy compression and queue strategies on AoI. Furthermore, two important use cases for low-powered IoT sensor networks are studied, namely, real-time feedback control and image classification. The results highlight the relative importance of QoS metrics for applications with different needs. To this end, we introduce a QoS-aware architecture to optimize network performance for the QoS requirements of the studied applications. The proposed network architecture was tested with a mixture of application traffic settings and was shown to greatly improve network QoS compared to commonly used transmission architectures such as Slotted ALOHA.https://www.mdpi.com/2624-831X/5/4/37LoRacompressionIoTAoIage of informationQoS |
| spellingShingle | Frederick M. Chache Sean Maxon Ram M. Narayanan Ramesh Bharadwaj Age of Information-Aware Networks for Low-Power IoT Sensor Applications IoT LoRa compression IoT AoI age of information QoS |
| title | Age of Information-Aware Networks for Low-Power IoT Sensor Applications |
| title_full | Age of Information-Aware Networks for Low-Power IoT Sensor Applications |
| title_fullStr | Age of Information-Aware Networks for Low-Power IoT Sensor Applications |
| title_full_unstemmed | Age of Information-Aware Networks for Low-Power IoT Sensor Applications |
| title_short | Age of Information-Aware Networks for Low-Power IoT Sensor Applications |
| title_sort | age of information aware networks for low power iot sensor applications |
| topic | LoRa compression IoT AoI age of information QoS |
| url | https://www.mdpi.com/2624-831X/5/4/37 |
| work_keys_str_mv | AT frederickmchache ageofinformationawarenetworksforlowpoweriotsensorapplications AT seanmaxon ageofinformationawarenetworksforlowpoweriotsensorapplications AT rammnarayanan ageofinformationawarenetworksforlowpoweriotsensorapplications AT rameshbharadwaj ageofinformationawarenetworksforlowpoweriotsensorapplications |