Definition
Fast developments in wireless technologies and microelectronics made it feasible to develop economically viable embedded sensor systems for monitoring and understanding the physical world (Madden et al. 2002). Traditional monitoring approaches, like passive sensing devices, transmit their readings to a centralized processing unit for storage and analysis. Wireless Sensor Devices (WSDs)on the other hand, are tiny computers on a chip that is often no bigger than a coin or credit card. These devices, equipped with a low frequency processor ( ≈ 4–58 MHz) and a wireless radio, can sense parameters such as, light, sound, temperature, humidity, pressure, noise levels, movement, and many others at extremely high resolutions. The applications of sensor networks range from environment monitoring (such as atmosphere and habitant monitoring, seismic and structural monitoring) to industry manufacturing (such as factory...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cao P, Wang Z (2004) Efficient top-k query calculation in distributed networks. In: Proceedings of the twenty-third annual ACM symposium on principles of distributed computing (PODC 04), 25–28 July 2004, St. John’s, pp 206–215
Fagin R (1996) Combining fuzzy information from multiple systems (extended abstract). In: Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on principles of database systems (PODS 96), 3–5 June 1996, Montreal, pp 216–226
Hadjieleftheriou M, Kollios G, Bakalov P, Tsotras VJ (2005) Complex spatiotemporal pattern queries. In: Proceedings of the 31st international conference on very large data bases (VLDB 05), 30 Aug–2 Sept 2005, Trondheim, pp 877–888
Kollios G, Gunopulos D, Tsotras VJ (1999) On indexing mobile objects. In: Proceedings of the eighteenth ACM SIGMODSIGACT-SIGART symposium on principles of database systems (PODS 99), 31 May–2 June 1999, Philadelphia, pp 261–272
Madden S, Franklin MJ, Hellerstein JM, Hong W (2002) Tag: a tiny aggregation service for ad-hoc sensor networks. ACM SIGOPS Oper Syst Rev 36(SI):131–146
Marian A, Bruno N, Gravano L (2004) Evaluating top-k queries over webaccessible databases. ACM Trans Database Syst 29(2):319-362
Michel S, Triantafillou P, Weikum G (2005) KLEE: a framework for distributed top-k query algorithms. In: Proceedings of the 31st international conference on very large data bases (VLDB 05), 30 Aug–2 Sept 2005, Trondheim, pp 637–648
Saltenis S, Jensen CS, Leutenegger ST, Lopez MA (2000) Indexing the positions of continuously moving objects. In: Proceedings of the 2000 ACM SIGMOD international conference on management of data (SIGMOD 00), 16–18 May 2000, Dallas, pp 331–342
Tao Y, Sun J, Papadias D (2003) Analysis of predictive spatiotemporal queries. ACM Trans Database Syst 28(4):295–336
Vlachos M, Hadjieleftheriou M, Gunopulos D, Keogh E (2003) Indexing multidimensional time-series with support for multiple distance measures. In: Proceedings of the ninth ACM SIGKDD international conference on knowledge discovery and data mining (KDD 03), 24–27 Aug 2003, Washington, DC, pp 216–225
Zeinalipour-Yazti D, Lin S, Gunopulos D (2006) Distributed spatiotemporal similarity search. In: Proceedings of the 15th ACM international conference on information and knowledge management (CIKM 06), 6–11 Nov 2006, Arlington, pp 14–23
Zeinalipour-Yazti D, Vagena Z, Gunopulos D, Kalogeraki V, Tsotras V, Vlachos M, Koudas N, Srivastava D (2005) The threshold join algorithm for top-k queries in distributed sensor networks. In: Proceedings of the 2nd international workshop on data management for sensor networks (DMSN 05), 29 Aug 2005, Trondheim, pp 61–66
Recommended Reading
Nieto M (1997) Public video surveillance: is it an effective crime prevention tool? Technical report, California Research Bureau Report
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this entry
Cite this entry
Lin, S., Zeinalipour-Yazt, D., Gunopulos, D. (2017). Top-k Retrieval Techniques in Distributed Sensor Systems. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-17885-1_1395
Download citation
DOI: https://doi.org/10.1007/978-3-319-17885-1_1395
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-17884-4
Online ISBN: 978-3-319-17885-1
eBook Packages: Computer ScienceReference Module Computer Science and Engineering