Dozer: Ultra-Low Power Data Gathering in Sensor Networks

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%.

[1]  Wei Hong,et al.  A macroscope in the redwoods , 2005, SenSys '05.

[2]  Eric A. Brewer,et al.  Network Power Scheduling for TinyOS Applications , 2006, DCOSS.

[3]  Wei Hong,et al.  TinyDB: an acquisitional query processing system for sensor networks , 2005, TODS.

[4]  Jennifer C. Hou,et al.  Wireless sensor networks , 2004, IEEE Wirel. Commun..

[5]  Jenna Burrell,et al.  From ethnography to design in a vineyard , 2003, DUX '03.

[6]  H. Dubois-Ferriere,et al.  TinyNode: a comprehensive platform for wireless sensor network applications , 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

[7]  Amre El-Hoiydi,et al.  WiseMAC: An Ultra Low Power MAC Protocol for Multi-hop Wireless Sensor Networks , 2004, ALGOSENSORS.

[8]  Harish Sethu,et al.  On Scheduling Sensor Networks , 2002 .

[9]  Bhaskar Krishnamachari,et al.  An adaptive energy-efficient and low-latency MAC for data gathering in wireless sensor networks , 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..

[10]  Viktor K. Prasanna,et al.  Energy-latency tradeoffs for data gathering in wireless sensor networks , 2004, IEEE INFOCOM 2004.

[11]  Ossama Younis,et al.  An experimental study of routing and data aggregation in sensor networks , 2005, IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 2005..

[12]  Kirk Martinez,et al.  Deploying a sensor network in an extreme environment , 2006, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC'06).

[13]  Cauligi Raghavendra,et al.  An Adaptive Energy-Efficient and Low-Latency MAC for Data Gathering in Sensor Networks , 2003 .

[14]  Koen Langendoen,et al.  An adaptive energy-efficient MAC protocol for wireless sensor networks , 2003, SenSys '03.

[15]  Rachel Cardell-Oliver,et al.  A Reactive Soil Moisture Sensor Network: Design and Field Evaluation , 2005, Int. J. Distributed Sens. Networks.

[16]  B. Hohlt,et al.  Flexible power scheduling for sensor networks , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.

[17]  Katia Obraczka,et al.  The impact of timing in data aggregation for sensor networks , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[18]  David E. Culler,et al.  Versatile low power media access for wireless sensor networks , 2004, SenSys '04.

[19]  M. Blasgen Database Systems , 1982, Science.

[20]  Thomas Schmid,et al.  SensorScope: Experiences with a Wireless Building Monitoring Sensor Network , 2005 .

[21]  Deborah Estrin,et al.  An energy-efficient MAC protocol for wireless sensor networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[22]  Henri Dubois-Ferrière,et al.  TinyNode: a comprehensive platform for wireless sensor network applications , 2006, IPSN.

[23]  John Anderson,et al.  Wireless sensor networks for habitat monitoring , 2002, WSNA '02.

[24]  Bhaskar Krishnamachari,et al.  (www.interscience.wiley.com) DOI: 10.1002/wcm.503 An adaptive energy-efficient and low-latency MAC for tree-based data gathering in sensor networks , 2022 .

[25]  H. Laborit,et al.  [Experimental study]. , 1958, Bulletin mensuel - Societe de medecine militaire francaise.

[26]  Deborah Estrin,et al.  The impact of data aggregation in wireless sensor networks , 2002, Proceedings 22nd International Conference on Distributed Computing Systems Workshops.

[27]  Koen Langendoen,et al.  Murphy loves potatoes: experiences from a pilot sensor network deployment in precision agriculture , 2006, Proceedings 20th IEEE International Parallel & Distributed Processing Symposium.

[28]  Roger Wattenhofer,et al.  Gathering correlated data in sensor networks , 2004, DIALM-POMC '04.

[29]  Katia Obraczka,et al.  Energy-efficient, application-aware medium access for sensor networks , 2005, IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 2005..

[30]  John S. Heidemann,et al.  Ultra-low duty cycle MAC with scheduled channel polling , 2006, SenSys '06.

[31]  Mahmut C. Selekoglu,et al.  How to be Energy Efficient , 2008 .