Improving Quality of Service in a Mesh Network Using Age of Information

Wireless sensor networks (WSNs) are a field of growing interest, particularly in the area of smart sensors. These smart sensors can operate in areas with little to no preexisting infrastructure, and can transmit data that have varying quality of service (QoS) requirements. For these types of network...

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Published inMILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) pp. 649 - 654
Main Authors Chache, Frederick M., Maxon, Sean, Narayanan, Ram M., Bharadwaj, Ramesh
Format Conference Proceeding
LanguageEnglish
Published IEEE 28.11.2022
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Abstract Wireless sensor networks (WSNs) are a field of growing interest, particularly in the area of smart sensors. These smart sensors can operate in areas with little to no preexisting infrastructure, and can transmit data that have varying quality of service (QoS) requirements. For these types of networks of battery operated sensors, it can be beneficial for the sensors to intelligently transmit information to avoid sending obsolete data. Firstly, excessive transmissions needlessly uses the limited battery power available, and secondly, this can lead to excessive packet collisions with other sensors, reducing network data rates. Age of Information (AoI) is a useful design tool as it allows for quantifying the effectiveness of transmission strategies. In this work, we implemented AoI as a metric for evaluating the performance of a custom long range, low power mesh network. We show that changes in queuing strategy using AoI concepts allowed for more up-to-date information on periodic measurements, with fewer transmissions. In addition, we demonstrate that priority strategies can allow networks to specify which messages can and cannot be rendered obsolete.
AbstractList Wireless sensor networks (WSNs) are a field of growing interest, particularly in the area of smart sensors. These smart sensors can operate in areas with little to no preexisting infrastructure, and can transmit data that have varying quality of service (QoS) requirements. For these types of networks of battery operated sensors, it can be beneficial for the sensors to intelligently transmit information to avoid sending obsolete data. Firstly, excessive transmissions needlessly uses the limited battery power available, and secondly, this can lead to excessive packet collisions with other sensors, reducing network data rates. Age of Information (AoI) is a useful design tool as it allows for quantifying the effectiveness of transmission strategies. In this work, we implemented AoI as a metric for evaluating the performance of a custom long range, low power mesh network. We show that changes in queuing strategy using AoI concepts allowed for more up-to-date information on periodic measurements, with fewer transmissions. In addition, we demonstrate that priority strategies can allow networks to specify which messages can and cannot be rendered obsolete.
Author Chache, Frederick M.
Narayanan, Ram M.
Maxon, Sean
Bharadwaj, Ramesh
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  surname: Maxon
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  organization: U.S. Naval Research Laboratory,SW Washington, D.C.,USA,20375
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  givenname: Ramesh
  surname: Bharadwaj
  fullname: Bharadwaj, Ramesh
  organization: U.S. Naval Research Laboratory,SW Washington, D.C.,USA,20375
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Snippet Wireless sensor networks (WSNs) are a field of growing interest, particularly in the area of smart sensors. These smart sensors can operate in areas with...
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StartPage 649
SubjectTerms Age of Information
AoI
Batteries
Information age
LoRa
Measurement
mesh network
Mesh networks
Military communication
QoS
Quality of service
sensor network
Wireless sensor networks
Title Improving Quality of Service in a Mesh Network Using Age of Information
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