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

Area of Science:

• * Building infrastructure management
• * Wireless sensor networks
• * Optimization algorithms

Background:

• * Managing air conditioner (AC), Piped Natural Gas (PNG), and water pipelines in large buildings presents significant safety challenges.
• * Linear Wireless Sensor Networks (LWSNs) are increasingly employed for monitoring extensive pipelines.
• * LWSNs offer potential for enhancing the safety and efficiency of utility pipeline management within large structures.

Purpose of the Study:

• * To propose an optimized sensor and base station placement scheme for monitoring AC, PNG, and water pipelines in large buildings.
• * To evaluate the proposed scheme's performance against existing optimization strategies.
• * To demonstrate the effectiveness of the Lion Optimization Algorithm (LOA) in this context.

Main Methods:

• * Development of a linear sensor and base station placement scheme.
• * Utilization of the Lion Optimization Algorithm (LOA) for optimizing sensor network configuration.
• * Comparative analysis with Ant Colony Optimization (ACO), Genetic Algorithm (GA), and Greedy Approach.

Main Results:

• * The proposed LOA scheme demonstrated superior performance in throughput, network lifetime, and end-to-end delay compared to ACO, GA, and Greedy Approach.
• * Optimization effectiveness for end-to-end delay increases with pipeline length.
• * Significant improvements in network lifetime were observed, particularly for medium-sized pipelines.

Conclusions:

• * The LOA-based scheme provides an efficient and effective solution for monitoring building utility pipelines.
• * The proposed approach enhances network longevity and reduces data transmission delays.
• * This method is particularly suitable for energy-efficient buildings requiring robust pipeline management.