A bayesian multilevel modeling approach for data query in wireless sensor networks

Honggang Wang, Hua Fang, Kimberly Andrew Espy, Dongming Peng, Hamid Sharif

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In power-limited Wireless Sensor Network (WSN), it is important to reduce the communication load in order to achieve energy savings. This paper applies a novel statistic method to estimate the parameters based on the realtime data measured by local sensors. Instead of transmitting large real-time data, we proposed to transmit the small amount of dynamic parameters by exploiting both temporal and spatial correlation within and between sensor clusters. The temporal correlation is built on the level-1 Bayesian model at each sensor to predict local readings. Each local sensor transmits their local parameters learned from historical measurement data to their cluster heads which account for the spatial correlation and summarize the regional parameters based on level-2 Bayesian model. Finally, the cluster heads transmit the regional parameters to the sink node. By utilizing this statistical method, the sink node can predict the sensor measurements within a specified period without directly communicating with local sensors. We show that this approach can dramatically reduce the amount of communication load in data query applications and achieve significant energy savings.

Original languageEnglish (US)
Title of host publicationComputational Science - ICCS 2007 - 7th International Conference, Proceedings
PublisherSpringer Verlag
Pages859-866
Number of pages8
EditionPART 3
ISBN (Print)9783540725879
DOIs
StatePublished - 2007
Event7th International Conference on Computational Science, ICCS 2007 - Beijing, China
Duration: May 27 2007May 30 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume4489 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Computational Science, ICCS 2007
CountryChina
CityBeijing
Period5/27/075/30/07

Keywords

  • Bayesian multilevel modeling
  • Wireless sensor network

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Wang, H., Fang, H., Espy, K. A., Peng, D., & Sharif, H. (2007). A bayesian multilevel modeling approach for data query in wireless sensor networks. In Computational Science - ICCS 2007 - 7th International Conference, Proceedings (PART 3 ed., pp. 859-866). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4489 LNCS, No. PART 3). Springer Verlag. https://doi.org/10.1007/978-3-540-72588-6_137