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Sensors 2018, 18(8), 2618; https://doi.org/10.3390/s18082618

Energy Efficient Management of Pipelines in Buildings Using Linear Wireless Sensor Networks

1
Indian Institute Technology, Dhanbad, Jharkhand 826004, India
2
Bhagwan Parshuram Institute of Technology, New Delhi 110089, India
3
Maharaja Agrasen Institute of Technology, GGSIP University, New Delhi 110078, India
4
National Institute of Telecommunications (Inatel), Santa Rita do Sapucaí-MG 37540-000, Brazil
5
Instituto de Telecomunicações, 1049-001 Lisboa, Portugal
6
Institute of Photonics and Optoinformatics, ITMO University, 197101 Saint Petersburg, Russia
7
Graduate Program in Applied Informatics, University of Fortaleza, Fortaleza, Ceará 60811-905, Brazil
*
Author to whom correspondence should be addressed.
Received: 18 May 2018 / Revised: 30 July 2018 / Accepted: 30 July 2018 / Published: 10 August 2018
(This article belongs to the Special Issue Sensors for Green Computing)
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Abstract

The efficient and safe management of air conditioner (AC), Piped Natural Gas (PNG) and water pipelines in large buildings is a major challenge for the safety of these buildings. In recent years, Linear Wireless Sensor Networks (LWSN) are being used extensively for monitoring of long natural gas, water, and oil pipelines. LWSNs can also be used for efficient and safe management of AC, PNG and water pipelines in large buildings. In this paper, a scheme for optimal placement of sensors and base stations in a linear fashion to monitor the various pipelines used in large buildings has been proposed. The proposed scheme utilizes the Lion Optimization Algorithm (LOA) and has been compared with three strategies, namely Ant Colony Optimization (ACO), Genetic Algorithm (GA) and Greedy Approach with respect to throughput, lifetime and end-to-end delay. The simulation results show that the proposed scheme exhibits better performance in comparison to the other three considered techniques for all the three parameters. The most striking feature of the proposed approach is that optimization is more effective when the length of the pipeline is more as far as end-to-end delay is concerned. The lifetime of the network is significantly improved using the proposed approach, especially when the length of the pipeline is of medium size, which makes the proposed scheme suitable for energy efficient buildings. View Full-Text
Keywords: meta-heuristic technique; node placement; routing; wireless sensor networks meta-heuristic technique; node placement; routing; wireless sensor networks
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Varshney, S.; Kumar, C.; Swaroop, A.; Khanna, A.; Gupta, D.; Rodrigues, J.J.P.C.; Pinheiro, P.R.; de Albuquerque, V.H.C. Energy Efficient Management of Pipelines in Buildings Using Linear Wireless Sensor Networks. Sensors 2018, 18, 2618.

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