DocumentCode
2045956
Title
Dozer: Ultra-Low Power Data Gathering in Sensor Networks
Author
Burri, Nicolas ; Von Rickenbach, Pascal ; Wattenhofer, Roger
Author_Institution
ETH Zurich, Zurich
fYear
2007
fDate
25-27 April 2007
Firstpage
450
Lastpage
459
Abstract
Environmental monitoring is one of the driving applications in the domain of sensor networks. The lifetime of such systems is envisioned to exceed several years. To achieve this longevity in unattended operation it is crucial to minimize energy consumption of the battery-powered sensor nodes. This paper proposes Dozer, a data gathering protocol meeting the requirements of periodic data collection and ultra-low power consumption. The protocol comprises MAC-layer, topology control, and routing all coordinated to reduce energy wastage of the communication subsystem. Using a tree-based network structure, packets are reliably routed towards the data sink. Parents thereby schedule precise rendezvous times for all communication with their children. In a deployed network consisting of 40 TinyOS- enabled sensor nodes, Dozer achieves radio duty cycles in the magnitude of 0.2%.
Keywords
access protocols; energy consumption; low-power electronics; packet radio networks; wireless sensor networks; MAC-layer; TinyOS-enabled sensor nodes; communication subsystem; data collection; data sink; dozer; energy consumption; energy wastage reduction; environmental monitoring; sensor networks; topology control; tree-based network structure; ultra-low power consumption; ultra-low power data gathering protocol; Computer networks; Data engineering; Energy efficiency; Laboratories; Monitoring; Power engineering and energy; Power engineering computing; Routing protocols; Sensor phenomena and characterization; Wireless sensor networks; Algortithms; Measurement; Sensor network; data gathering; energy efficiency;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Processing in Sensor Networks, 2007. IPSN 2007. 6th International Symposium on
Conference_Location
Cambridge, MA
Print_ISBN
978-1-59593-638-7
Type
conf
DOI
10.1109/IPSN.2007.4379705
Filename
4379705
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