REDUNDANT DISTRIBUTED DATA STORAGE - Experimentation with the SensLab Testbed

Pietro Gonizzi, Gianluigi Ferrari, Vincent Gay, Jérémie Leguay

Abstract

Wireless sensor network (WSN)-based applications typically require to store data in the network. For instance, in the surveillance of isolated areas, if no sink nodes are present, WSNs may archive observation data that are periodically retrieved by an external agent. In contrast to conventional network data storage, storing data in WSNs is challenging because of the limited power, memory, and communication bandwidth of WSNs. In our study, we review the state-of-art techniques for data replication and storage in WSNs, and we propose a lowcomplexity distributed data replication mechanism to increase the resilience of WSN storage capacity against node failure and local memory shortage. We evaluate our approach through experimental results collected on the SensLab large-scale real testbed. In particular, we show how the performance is affected by changing the configuration of several key system parameters, such as (i) the transmission power of the nodes; (ii) the control message overhead; (iii) the number of deployed nodes; and (iv) the redundancy. To the best of our knowledge, this is one of the first works presenting experimental results at a really large scale on SensLab.

References

  1. Awad, A., Germany, R., and Dressler, F. (2009). Datacentric cooperative storage in wireless sensor network. In 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL), pages 1-6, Bratislava, Slovak Republic.
  2. Beaufour, A., Leopold, M., and Bonnet, P. (2002). Smarttag based data dissemination. In Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications (WSNA'02), pages 68-77, Atlanta, GA, USA.
  3. Ducrocq, T., Vandaele, J., Mitton, N., and Simplot-Ryl, D. (2010). Large scale geolocalization and routing experimentation with the senslab testbed. In IEEE 7th International Conference on Mobile Adhoc and Sensor Systems (MASS'10), pages 751-753, San Francisco, CA, USA.
  4. Hamed Azimi, N., Gupta, H., Hou, X., and Gao, J. (2010). Data preservation under spatial failures in sensor networks. In Proceedings of the eleventh ACM international symposium on Mobile ad hoc networking and computing (MobiHoc'10), pages 171-180, Chicago, Illinois, USA.
  5. Hongping, F. and Kangling, F. (2010). Overview of data dissemination strategy in wireless sensor networks. In International Conference on E-Health Networking, Digital Ecosystems and Technologies (EDT), pages 260- 263, Shenzhen, China.
  6. Luo, L., Huang, C., Abdelzaher, T., and Stankovic, J. (2007). Envirostore: A cooperative storage system for disconnected operation in sensor networks. In 26th IEEE International Conference on Computer Communications (INFOCOM'07), pages 1802-1810, Anchorage, Alaska, USA.
  7. Madden, S. R., Franklin, M. J., Hellerstein, J. M., and Hong, W. (2005). Tinydb: an acquisitional query processing system for sensor networks. ACM Trans. Database Syst., pages 122-173.
  8. Mathur, G., Desnoyers, P., Ganesan, D., and Shenoy, P. (2006). Ultra-low power data storage for sensor networks. In The Fifth International Conference on Information Processing in Sensor Networks (IPSN'06), pages 374-381, Nashville, TN, USA.
  9. Neumann, J., Reinke, C., Hoeller, N., and Linnemann, V. (2009). Adaptive quality-aware replication in wireless sensor networks. In International Workshop on Wireless Ad Hoc, Mesh and Sensor Networks (WAMSNET'09), pages 413-420, Jeju Island, Korea.
  10. Omotayo, A., Hammad, M., and Barker, K. (2007). A cost model for storing and retrieving data in wireless sensor networks. In IEEE 23rd International Conference on Data Engineering Workshop (ICDE), pages 29-38, Istanbul, Turkey.
  11. Piotrowski, K., Langendoerfer, P., and Peter, S. (2009). tinyDSM: A highly reliable cooperative data storage for wireless sensor networks. In International Symposium on Collaborative Technologies and Systems (CTS'09), pages 225-232, Baltimore, Maryland, USA.
  12. Ratnasamy, S., Karp, B., Shenker, S., Estrin, D., and Yin, L. (2003). Data-centric storage in sensornets with GHT, a geographic hash table. ACM Mobile Networks and Applications, pages 427-442.
  13. SensLAB (2008). A very large scale open wireless sensor network testbed. Website: http://www.senslab.info/.
Download


Paper Citation


in Harvard Style

Gonizzi P., Ferrari G., Gay V. and Leguay J. (2012). REDUNDANT DISTRIBUTED DATA STORAGE - Experimentation with the SensLab Testbed . In Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-8565-01-3, pages 15-23. DOI: 10.5220/0003803900150023


in Bibtex Style

@conference{sensornets12,
author={Pietro Gonizzi and Gianluigi Ferrari and Vincent Gay and Jérémie Leguay},
title={REDUNDANT DISTRIBUTED DATA STORAGE - Experimentation with the SensLab Testbed},
booktitle={Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2012},
pages={15-23},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003803900150023},
isbn={978-989-8565-01-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - REDUNDANT DISTRIBUTED DATA STORAGE - Experimentation with the SensLab Testbed
SN - 978-989-8565-01-3
AU - Gonizzi P.
AU - Ferrari G.
AU - Gay V.
AU - Leguay J.
PY - 2012
SP - 15
EP - 23
DO - 10.5220/0003803900150023