Upper Bounds on Path Exposure in EH-WSNs with Variable Transmission Ranges
PROCEEDINGS OF THE IEEE 46TH CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2021)(2021)
摘要
In this paper, we consider WSNs where nodes harvest solar energy for sustainable operation. We use a probabilistic graph model that associates a probability distribution with each node to model the random variability of a node's transmission range. In its basic form, the graph uses a 3-state node model that associates a probability distribution representing the likelihood that a node is either in a full power, reduced power, or failed state. Using this model, we tackle a problem, called path exposure with transmission range uncertainty (EXPO-RU) to analyze the exposure of a given path that we want to monitor against unauthorized traversal. The problem calls for quantifying the ability of an EH-WSN to jointly detect and report a traversal along the given path. To assess the reliability of an EH-WSN, we develop an algorithm for computing upper bounds on exact solutions, and present numerical results to analyze its performance.
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关键词
solar energy,probabilistic graph model,probability distribution,random variability,3-state node model,failed state,path exposure,transmission range uncertainty,unauthorized traversal,EH-WSN,exposure with transmission range uncertainty
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