TOPOLOGICAL ASPECTS OF DESIGNING FUNCTIONALLY ROBUST WIRELESS SENSOR NETWORKS
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Abstract
Research objective: To develop and analyze topological approaches for constructing functionally stable wireless sensor networks (WSNs) that ensure uninterrupted monitoring and control under the influence of destabilizing factors, particularly in critical infrastructure systems and the manufacturing sector. Research object: The operation and management processes of wireless sensor networks, as well as their resilience to external and internal disruptions. Research subject: The topological aspects of wireless sensor network design that impact their functional stability, including structural self-organization, connectivity metrics, and mechanisms for minimizing data transmission collisions. Research results. This article explores topological strategies for designing functionally robust WSNs in the context of monitoring and managing facilities, especially within critical infrastructure and industrial environments. Key challenges such as high energy consumption, latency, and vulnerability to interference are identified, necessitating thorough analysis at the design stage. The significance of properly formulating the synthesis task and selecting appropriate performance criteria is emphasized to ensure effective WSN operation. An analysis of existing systems based on current solutions highlights the capabilities of remote control and monitoring. The study investigates the features and advantages of such networks, including self-organization, energy independence, self-diagnostics, and scalability. However, it also reveals a low level of functional robustness in existing hierarchical WSNs, due to a limited number of alternative routes, low vertex and edge connectivity, and a low probability of connectivity between structural components. The proposed directions for further research include a comparative analysis of topologies, development of modified topologies for WSNs in critical infrastructure applications, evaluation of their stability, exploration of collision minimization mechanisms, and estimation of communication channel costs. The findings of this study aim to enhance the reliability and efficiency of wireless sensor networks under challenging operational conditions.
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