skip to main content
article

Spatio-temporal correlation: theory and applications for wireless sensor networks

Published: 21 June 2004 Publication History

Abstract

Wireless Sensor Networks (WSN) are characterized by the dense deployment of sensor nodes that continuously observe physical phenomenon. Due to high density in the network topology, sensor observations are highly correlated in the space domain. Furthermore, the nature of the physical phenomenon constitutes the temporal correlation between each consecutive observation of a sensor node. These spatial and temporal correlations along with the collaborative nature of the WSN bring significant potential advantages for the development of efficient communication protocols well-suited for the WSN paradigm. In this paper, several key elements are investigated to capture and exploit the correlation in the WSN for the realization of advanced efficient communication protocols. A theoretical framework is developed to model the spatial and temporal correlations in WSN. The objective of this framework is to enable the development of efficient communication protocols which exploit these advantageous intrinsic features of the WSN paradigm. Based on this framework, possible approaches are discussed to exploit spatial and temporal correlation for efficient medium access and reliable event transport in WSN, respectively.

References

[1]
{1} I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirei, Wireless sensor networks: a survey. Comput. Networks 38 (4) (2002) 393-422.
[2]
{2} K.A. Arisha, M.A. Youssef, M.Y. Younis, Energy-aware management in cluster-based sensor networks. Comput. Networks 43 (5) (2003) 649-668.
[3]
{3} J.O. Berger, V. de Oliviera, B. Sanso, Objective bayesian analysis of spatially correlated data. J. Am. Statist. Assoc. 96 (2001) 1361-1374.
[4]
{4} T. Clouqueur, V. Phipatanasuphorn, P. Ramanathan, K. Saluja, Sensor deployment strategy for target detection, in: Proceedings of the ACM WSNA 2002, Atlanta, USA, September 2002.
[5]
{5} T. van Dam, K. Langendoen, An adaptive energy-efficient MAC protocol for wireless sensor networks, in: Proceedings of the ACM SenSys 2003, Los Angeles, CA, November 2003.
[6]
{6} M. Gastpar, M. Vetterli, Source-channel communication in sensor networks, in: Proceedings of the 2nd International Workshop on Information Processing in Sensor Networks (IPSN'03), 2003.
[7]
{7} T.J. Goblick, Theoretical limitations on the transmission of data from analog sources, IEEE Trans. Inform. Theory IT-11 (4) (1965) 558-567.
[8]
{8} S. Haykin, Communication Systems. third ed., Wiley, New York, 1994.
[9]
{9} IEEE 802.15.4/D17. Draft Standard Low-Rate Personal Area Networks, October, 2002.
[10]
{10} J. Kusuma, L. Doherty, K. Ramchandran, Distributed compression for sensor networks, in: Proceedings of the IEEE Image Processing 2001, vol. 1, October 2001, pp. 82-85.
[11]
{11} S. Meguerdichian, F. Koushanfar, M. Potkonjak, M. B. Srivastava, Coverage problems in wireless ad-hoc sensor networks, in: Proceedings of the IEEE INFOCOM 2001, Anchorage, AK, April 2001.
[12]
{12} V. Poor, An Introduction to Signal Detection and Estimation, second ed., Springer, Berlin, 1994.
[13]
{13} S.S. Pradhan, K. Ramchandran, Distributed source coding: symmetric rates and applications to sensor networks, in: Proceedings of the Data Compression Conference 2000, 2000, pp. 363-372.
[14]
{14} S.S. Pradhan, J. Kusuma, K. Ramchandran, Distributed compression in a dense microsensor network. IEEE Signal Process. Mag. 19 (2) (2002) 51-60.
[15]
{15} S.S. Pradhan, R. Puri, K. Ramchandran, n-Channel symmetric multiple descriptions Part I: (n,k) source-channel erasure codes, IEEE Trans. Inform. Theory 50 (1) (2004) 47-61.
[16]
{16} V. Rajendran, K. Obraczka, J.J. Garcia-Luna-Aceves, Energy-efficient, collision-free medium access control for wireless sensor networks, in: Proceedings of the ACM SenSys 2003, Los Angeles, CA, November 2003.
[17]
{17} Y. Sankarasubramaniam, O.B. Akan, I.F. Akyildiz, ESRT: event-to-sink reliable transport for wireless sensor networks, in: Proceedings of the ACM MOBIHOC 2003, June 2003, pp. 177-188.
[18]
{18} A. Scaglione, S.D. Servetto, On the interdependence of routing and data compression in multi-hop sensor networks, in: Proceedings of the ACM MOBICOM 2002, Atlanta, GA, USA, September 2002.
[19]
{19} F. Stann, J. Heidemann, RMST: Reliable data transport in sensor networks, in: Proceedings of the IEEE SNPA 2003, Anchorage, AK, May 2003, pp. 102-112.
[20]
{20} G.L. Stuber, Principles of Mobile Communication, Kluwer Academic Publisher, Dordrecht, 2001.
[21]
{21} M.C. Vuran, I.F. Akyildiz, Spatial correlation-based collaborative medium access control in wireless sensor networks, submitted, December 2003.
[22]
{22} C.-Y. Wan, S.B. Eisenman, A.T. Campbell, CODA: congestion detection and avoidance in sensor networks, in: Proceedings of the ACM SenSys 2003, November 2003.
[23]
{23} C.Y. Wan, A.T. Campbell, L. Krishnamurthy, PSFQ: a reliable transport protocol for wireless sensor networks, in: Proceedings of the WSNA 2002, Atlanta, GA, USA, September 2002.
[24]
{24} W. Ye, J. Heidemann, D. Estrin, An energy-efficient MAC protocol for wireless sensor networks, in: Proceedings of the INFOCOM 2002, vol. 3, 2002, pp. 1567-1576.

Cited By

View all

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Computer Networks: The International Journal of Computer and Telecommunications Networking
Computer Networks: The International Journal of Computer and Telecommunications Networking  Volume 45, Issue 3
Special issue: In memroy of Olga Casals
21 June 2004
134 pages

Publisher

Elsevier North-Holland, Inc.

United States

Publication History

Published: 21 June 2004

Author Tags

  1. MAC protocol
  2. spatial correlation
  3. temporal correlation
  4. transport protocol
  5. wireless sensor networks

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 03 Jan 2025

Other Metrics

Citations

Cited By

View all

View Options

View options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media