Availability and End-to-end Reliability in Low Duty Cycle MultihopWireless Sensor Networks

A wireless sensor network (WSN) is an ad-hoc technology that may even consist of thousands of nodes, which necessitates autonomic, self-organizing and multihop operations. A typical WSN node is battery powered, which makes the network lifetime the primary concern. The highest energy efficiency is ac...

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Main Authors: Timo D. Hämäläinen, Jukka Suhonen, Marko Hännikäinen
Format: Article
Language:English
Published: MDPI AG 2009-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/9/3/2088/
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spelling doaj-37b2b0441df74449b69a4a3caad6a3712020-11-24T21:13:57ZengMDPI AGSensors1424-82202009-03-01932088211610.3390/s90302088Availability and End-to-end Reliability in Low Duty Cycle MultihopWireless Sensor NetworksTimo D. HämäläinenJukka SuhonenMarko HännikäinenA wireless sensor network (WSN) is an ad-hoc technology that may even consist of thousands of nodes, which necessitates autonomic, self-organizing and multihop operations. A typical WSN node is battery powered, which makes the network lifetime the primary concern. The highest energy efficiency is achieved with low duty cycle operation, however, this alone is not enough. WSNs are deployed for different uses, each requiring acceptable Quality of Service (QoS). Due to the unique characteristics of WSNs, such as dynamic wireless multihop routing and resource constraints, the legacy QoS metrics are not feasible as such. We give a new definition to measure and implement QoS in low duty cycle WSNs, namely availability and reliability. Then, we analyze the effect of duty cycling for reaching the availability and reliability. The results are obtained by simulations with ZigBee and proprietary TUTWSN protocols. Based on the results, we also propose a data forwarding algorithm suitable for resource constrained WSNs that guarantees end-to-end reliability while adding a small overhead that is relative to the packet error rate (PER). The forwarding algorithm guarantees reliability up to 30% PER. http://www.mdpi.com/1424-8220/9/3/2088/Wireless sensor networksreliabilityavailabilityQoS.
collection DOAJ
language English
format Article
sources DOAJ
author Timo D. Hämäläinen
Jukka Suhonen
Marko Hännikäinen
spellingShingle Timo D. Hämäläinen
Jukka Suhonen
Marko Hännikäinen
Availability and End-to-end Reliability in Low Duty Cycle MultihopWireless Sensor Networks
Sensors
Wireless sensor networks
reliability
availability
QoS.
author_facet Timo D. Hämäläinen
Jukka Suhonen
Marko Hännikäinen
author_sort Timo D. Hämäläinen
title Availability and End-to-end Reliability in Low Duty Cycle MultihopWireless Sensor Networks
title_short Availability and End-to-end Reliability in Low Duty Cycle MultihopWireless Sensor Networks
title_full Availability and End-to-end Reliability in Low Duty Cycle MultihopWireless Sensor Networks
title_fullStr Availability and End-to-end Reliability in Low Duty Cycle MultihopWireless Sensor Networks
title_full_unstemmed Availability and End-to-end Reliability in Low Duty Cycle MultihopWireless Sensor Networks
title_sort availability and end-to-end reliability in low duty cycle multihopwireless sensor networks
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2009-03-01
description A wireless sensor network (WSN) is an ad-hoc technology that may even consist of thousands of nodes, which necessitates autonomic, self-organizing and multihop operations. A typical WSN node is battery powered, which makes the network lifetime the primary concern. The highest energy efficiency is achieved with low duty cycle operation, however, this alone is not enough. WSNs are deployed for different uses, each requiring acceptable Quality of Service (QoS). Due to the unique characteristics of WSNs, such as dynamic wireless multihop routing and resource constraints, the legacy QoS metrics are not feasible as such. We give a new definition to measure and implement QoS in low duty cycle WSNs, namely availability and reliability. Then, we analyze the effect of duty cycling for reaching the availability and reliability. The results are obtained by simulations with ZigBee and proprietary TUTWSN protocols. Based on the results, we also propose a data forwarding algorithm suitable for resource constrained WSNs that guarantees end-to-end reliability while adding a small overhead that is relative to the packet error rate (PER). The forwarding algorithm guarantees reliability up to 30% PER.
topic Wireless sensor networks
reliability
availability
QoS.
url http://www.mdpi.com/1424-8220/9/3/2088/
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