Electronics, Journal Year: 2025, Volume and Issue: 14(8), P. 1634 - 1634
Published: April 18, 2025
Deploying thousands of sensors across remote and challenging environments—such as the Amazon rainforest, Californian wilderness, or Australian bushlands—is a critical yet complex task for forest fire monitoring, while our backyard emulation confirmed feasibility small-scale deployment proof concept, large-scale scenarios demand scalable, efficient, fault-tolerant network design. This paper proposes Hierarchical Wireless Sensor Network (HWSN) strategy with adaptive head node selection to maximize area coverage energy efficiency. The architecture follows three-level hierarchy follows: first level incorporates cells individual sensor nodes that connect dynamically assigned cell heads. second involves aggregated clusters such heads, each an cluster head. Finally, dividing all heads into regions, region head, directly reports collected information from floor central control sink room decision making analysis. Unlike traditional centralized uniformly distributed models, approach leverages greedy maximization algorithm select contribute best sensed data at level. Through extensive simulations, model achieved over 96.26% coverage, using significantly fewer nodes, reducing transmission distances consumption. facilitates real-world HWSN in large-scale, very promising performance.
Language: Английский