Increasing the network capacity for multi-modal multi-hop WSNs through unsupervised data rate adjustment

Matthew Jones, Doina Bein, Bharat B. Madan, Shashi Phoha

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We propose to improve the quality of data for data fusion in a wireless sensor network deployed in an urban environment by dynamically controlling the transmission rate of the sensors. When nodes are grouped in multi-hop clusters, this mechanism will increase the number of messages being received at the cluster heads. We implement a previously proposed cross-layer data adjustment algorithm and integrate it into our multi-modal dynamic clustering algorithm MDSTC. Extensive simulations in NS2 using a simpler two-hop cluster show that using the data rate algorithm allows for better efficiency within the cluster.

Original languageEnglish (US)
Title of host publicationIntelligent Distributed Computing V
Subtitle of host publicationProceedings of the 5th International Symposium on Intelligent Distributed Computing - IDC 2011, Delft, The Netherlands - October 2011
EditorsFrances M.T. Brazier, Kees Nieuwenhuis, Gregor Pavlin, Martijn Warnier, Costin Badica
Pages183-193
Number of pages11
DOIs
StatePublished - Nov 22 2011

Publication series

NameStudies in Computational Intelligence
Volume382
ISSN (Print)1860-949X

Fingerprint

Data fusion
Clustering algorithms
Wireless sensor networks
Sensors

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Cite this

Jones, M., Bein, D., Madan, B. B., & Phoha, S. (2011). Increasing the network capacity for multi-modal multi-hop WSNs through unsupervised data rate adjustment. In F. M. T. Brazier, K. Nieuwenhuis, G. Pavlin, M. Warnier, & C. Badica (Eds.), Intelligent Distributed Computing V: Proceedings of the 5th International Symposium on Intelligent Distributed Computing - IDC 2011, Delft, The Netherlands - October 2011 (pp. 183-193). (Studies in Computational Intelligence; Vol. 382). https://doi.org/10.1007/978-3-642-24013-3_18
Jones, Matthew ; Bein, Doina ; Madan, Bharat B. ; Phoha, Shashi. / Increasing the network capacity for multi-modal multi-hop WSNs through unsupervised data rate adjustment. Intelligent Distributed Computing V: Proceedings of the 5th International Symposium on Intelligent Distributed Computing - IDC 2011, Delft, The Netherlands - October 2011. editor / Frances M.T. Brazier ; Kees Nieuwenhuis ; Gregor Pavlin ; Martijn Warnier ; Costin Badica. 2011. pp. 183-193 (Studies in Computational Intelligence).
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Jones, M, Bein, D, Madan, BB & Phoha, S 2011, Increasing the network capacity for multi-modal multi-hop WSNs through unsupervised data rate adjustment. in FMT Brazier, K Nieuwenhuis, G Pavlin, M Warnier & C Badica (eds), Intelligent Distributed Computing V: Proceedings of the 5th International Symposium on Intelligent Distributed Computing - IDC 2011, Delft, The Netherlands - October 2011. Studies in Computational Intelligence, vol. 382, pp. 183-193. https://doi.org/10.1007/978-3-642-24013-3_18

Increasing the network capacity for multi-modal multi-hop WSNs through unsupervised data rate adjustment. / Jones, Matthew; Bein, Doina; Madan, Bharat B.; Phoha, Shashi.

Intelligent Distributed Computing V: Proceedings of the 5th International Symposium on Intelligent Distributed Computing - IDC 2011, Delft, The Netherlands - October 2011. ed. / Frances M.T. Brazier; Kees Nieuwenhuis; Gregor Pavlin; Martijn Warnier; Costin Badica. 2011. p. 183-193 (Studies in Computational Intelligence; Vol. 382).

Research output: Chapter in Book/Report/Conference proceedingChapter

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Jones M, Bein D, Madan BB, Phoha S. Increasing the network capacity for multi-modal multi-hop WSNs through unsupervised data rate adjustment. In Brazier FMT, Nieuwenhuis K, Pavlin G, Warnier M, Badica C, editors, Intelligent Distributed Computing V: Proceedings of the 5th International Symposium on Intelligent Distributed Computing - IDC 2011, Delft, The Netherlands - October 2011. 2011. p. 183-193. (Studies in Computational Intelligence). https://doi.org/10.1007/978-3-642-24013-3_18