Abstract
Based on the characteristics of seismic observation tunnel and the requirements of underground seismic observation environment monitoring, this paper proposed a hierarchical tunnel-environment surveillance system, namely HTS. The HTS system can monitor humidity and achieve reliable bidirectional communication. The HTS system incorporates two measures designed to account for the sampling, data processing and communication bottlenecks of the sensor nodes (i) zone-based adaptive data collecting algorithm which exploits spatial redundancy of sampling readings to increase the effective sample processing rate, and (ii) adaptive sleep/wakeup mechanism which exploits the temporal correlation of sampling readings to further save energy consumption of unnecessary overhearing. HTS system can achieve better flexibility, correctness, longer lifetime, and adaptability to underground seismic observation tunnels compared with existing systems.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Werner-Allen, G., et al.: Monitoring volcanic eruptions with a wireless sensor network. In: Proc. of 2nd European Workshop Wireless Sensor Networks (EWSN), Istanbul, Turkey, pp. 108–120 (January 2005)
Plastino, W.: Monitoring of geochemical and geophysical parameters in the Gran Sasso aquifer. In: Elsevier Radionuclides in the Environment - Int. Conf. On Isotopes in Env. Studies, vol. 8, pp. 335–341 (2006)
Plastino, W., Povinec, P.: Environmental radioactivity monitoring at the deep undeground Gran Sasso National Laboratory, Italy. In: American Geophysical Union, Fall Meeting (2009) (abstract)
Harms, J., et al.: Characterization of the seismic environment at the Sanford Underground Laboratory, South Dakota. Classical and Quantum Gravity 27(22), 225011 (2010)
Niu, X., et al.: The Design and Evaluation of a Wireless Sensor Network for Mine Safety Monitoring. In: Proc of the 50th IEEE Global Telecommunications Conference (GLOBECOM), Washington DC, USA, November 26-30, pp. 1291–1295 (2007)
Akyildiz, I., Stuntebeck, E.: Wireless underground sensor networks: Research challenges. Elsevier Ad Hoc Networks 4(6), 669–686 (2006)
Szewczyk, R., Mainwaring, A., Polastre, J., Culler, D.: An analysis of a large scale habitat monitoring application. In: Proc. of the 2nd International Conference on Embedded Networked Sensor Systems (SenSys), Baltimore, USA, pp. 214–226 (November 2004)
Hu, W., Tran, V.N., Bulusu, N., Chou, C.T., Jha, S., Tayor, A.: The design and evaluation of a hybrid sensor network for Cane-Toad monitoring. In: Proc. of the 4th International Symposium on Information Processing in Sensor Networks (IPSN), Sydney, Australia, pp. 503–508 (April 2005)
Schwiebert, L., et al.: Research challenges in wireless networks of biomedical sensors. In: Proc. of ACM International Conference on Mobile Computing and Networking (MOBICOM), Rome, Italy, pp. 151–165 (July 2001)
Paek, J., et al.: A Wireless Sensor Network for Structural Health Monitoring: Performance and Experience. In: Proc. of the 2nd IEEE Workshop on Embedded Networked Sensors (EmNetS), Washington DC, USA, pp. 1–10 (May 2005)
Chintalapudi, K., et al.: Structural damage detection and localization using NETSHM. In: Proc. of International Conference on Information Processing in Sensor Networks (IPSN), Nashville, USA, pp. 475–482 (April 2006)
Ingelrest, F., Barrenetxea, G., Schaefer, G., Vetterli, M., Couach, O., Parlange, M.: SensorScope: Application-specific sensor network for environmental monitoring. ACM Transactions on Sensor Networks (TOSN) 6(2), 1–32 (2010)
Tolle, G., et al.: A macroscope in the redwoods. In: Proc. of the 3rd ACM Conference on Embedded Networked Sensor Systems (SenSys), San Diego, USA, pp. 51–63 (November 2005)
EASISET product series, http://www.easinet.cn/products.htm
SHT1x/SHT7x: Humidity & Temperature Sensor, http://www.sensirion.com/images/getFile?id=25
Chang, C.Y., et al.: ZBP: A Zone-Based Broadcasting Protocol for Wireless Sensor Networks. Wireless Personal Communications 33(1), 53–68 (2005)
Niu, X., et al.: Hybrid Cluster Routing: An Efficient Routing Protocol for Mobile Ad Hoc Networks. In: Proc of 41th IEEE International Conference on Communications (ICC), Istanbul, Turkey, pp. 3554–3559 (June 2006)
Maroti, M., Kusy, B., Simon, G., et al.: The flooding time synchronization protocol. In: Proc. of ACM Conference on Embedded Networked Sensor Systems (SenSys), Baltimore, USA, pp. 39–49 (April 2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Niu, X., Wei, C., Wang, L. (2011). The Design of a Wireless Sensor Network for Seismic-Observation-Environment Surveillance. In: Cheng, Y., Eun, D.Y., Qin, Z., Song, M., Xing, K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2011. Lecture Notes in Computer Science, vol 6843. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23490-3_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-23490-3_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23489-7
Online ISBN: 978-3-642-23490-3
eBook Packages: Computer ScienceComputer Science (R0)