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

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

doi:10.1007/978-3-642-24013-3_18

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 proceeding › Chapter

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 language	English (US)
Title of host publication	Intelligent Distributed Computing V
Subtitle of host publication	Proceedings of the 5th International Symposium on Intelligent Distributed Computing - IDC 2011, Delft, The Netherlands - October 2011
Editors	Frances M.T. Brazier, Kees Nieuwenhuis, Gregor Pavlin, Martijn Warnier, Costin Badica
Pages	183-193
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-24013-3_18
State	Published - 2011

Publication series

Name	Studies in Computational Intelligence
Volume	382
ISSN (Print)	1860-949X

All Science Journal Classification (ASJC) codes

Artificial Intelligence

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10.1007/978-3-642-24013-3_18

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. et al. / 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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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.",

author = "Matthew Jones and Doina Bein and Madan, \{Bharat B.\} and Shashi Phoha",

note = "Funding Information: This material is based upon work supported by, or in part by, the U. S. Army Research Laboratory and the U. S. Army Research Office under the eSensIF MURI Award No. W911NF-07-1-0376. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the sponsor.",

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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. et al.
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 proceeding › Chapter

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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). doi: 10.1007/978-3-642-24013-3_18

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

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