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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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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