期刊
SENSORS
卷 18, 期 8, 页码 -出版社
MDPI
DOI: 10.3390/s18082618
关键词
meta-heuristic technique; node placement; routing; wireless sensor networks
资金
- FCT-Fundacao para a Ciencia e a Tecnologia [UID/EEA/50008/2013]
- Government of Russian Federation [08-08]
- Finep
- Funttel under the Centro de Referencia em Radiocomunicacoes-CRR project of the Instituto Nacional de Telecomunicacoes (Inatel), Brazil [01.14.0231.00]
- Brazilian National Council for Scientific and Technological Development (CNPq) [309335/2017-5, 305805/2017-7, 304315/2017-6]
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.
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