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

Mehmet C. Vuran, Özgür B. Akan, Ian F. Akyildiz

Research output: Contribution to journalArticlepeer-review

587 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)245-259
Number of pages15
JournalComputer Networks
Issue number3
StatePublished - Jun 21 2004
Externally publishedYes


  • MAC protocol
  • Spatial correlation
  • Temporal correlation
  • Transport protocol
  • Wireless sensor networks

ASJC Scopus subject areas

  • Computer Networks and Communications


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