Optimal transmission power in self-sustainable sensor networks for pipeline monitoring

Changsoo Ok, Hari Thadakamalla, Usha Raghavan, Soundar Rajan Tirupatikumara, Sang Gook Kim, Xiang Zhang, Satish Bukkapatnam

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

22 Citations (Scopus)

Abstract

In this paper, we present a self-sustainable sensor network model for integrity monitoring of pipeline infrastructures. Sensor nodes consist of energy harvesting modules which help them to be always alive and hence monitor the pipeline continuously. These nodes report in a multi-hop fashion to more expensive sink nodes that can broadcast to the base station. The main objective of the paper is to compute the minimal number of sinks required to keep the network connected and satisfy the required constraints. Firstly, we present an algorithm (CON-NET) for determining if a network is connected. We propose a modified bisection algorithm to compute the maximum sampling rate for a given number of sinks nodes. Further, we propose an algorithm for computing the minimal number of sink nodes required. We illustrate the use of algorithms by providing design guidelines for a sensor network on a linear pipeline structure.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007
Pages591-596
Number of pages6
DOIs
StatePublished - 2007
Event3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007 - Scottsdale, AZ, United States
Duration: Sep 22 2007Sep 25 2007

Other

Other3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007
CountryUnited States
CityScottsdale, AZ
Period9/22/079/25/07

Fingerprint

Power transmission
Sensor networks
Pipelines
Monitoring
Energy harvesting
Sensor nodes
Base stations
Sampling

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Ok, C., Thadakamalla, H., Raghavan, U., Tirupatikumara, S. R., Kim, S. G., Zhang, X., & Bukkapatnam, S. (2007). Optimal transmission power in self-sustainable sensor networks for pipeline monitoring. In Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007 (pp. 591-596). [4341826] https://doi.org/10.1109/COASE.2007.4341826
Ok, Changsoo ; Thadakamalla, Hari ; Raghavan, Usha ; Tirupatikumara, Soundar Rajan ; Kim, Sang Gook ; Zhang, Xiang ; Bukkapatnam, Satish. / Optimal transmission power in self-sustainable sensor networks for pipeline monitoring. Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007. 2007. pp. 591-596
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author = "Changsoo Ok and Hari Thadakamalla and Usha Raghavan and Tirupatikumara, {Soundar Rajan} and Kim, {Sang Gook} and Xiang Zhang and Satish Bukkapatnam",
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Ok, C, Thadakamalla, H, Raghavan, U, Tirupatikumara, SR, Kim, SG, Zhang, X & Bukkapatnam, S 2007, Optimal transmission power in self-sustainable sensor networks for pipeline monitoring. in Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007., 4341826, pp. 591-596, 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007, Scottsdale, AZ, United States, 9/22/07. https://doi.org/10.1109/COASE.2007.4341826

Optimal transmission power in self-sustainable sensor networks for pipeline monitoring. / Ok, Changsoo; Thadakamalla, Hari; Raghavan, Usha; Tirupatikumara, Soundar Rajan; Kim, Sang Gook; Zhang, Xiang; Bukkapatnam, Satish.

Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007. 2007. p. 591-596 4341826.

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

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Ok C, Thadakamalla H, Raghavan U, Tirupatikumara SR, Kim SG, Zhang X et al. Optimal transmission power in self-sustainable sensor networks for pipeline monitoring. In Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007. 2007. p. 591-596. 4341826 https://doi.org/10.1109/COASE.2007.4341826