Abstract | ||
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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. |
Year | DOI | Venue |
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2021 | 10.1109/LCN52139.2021.9524991 | PROCEEDINGS OF THE IEEE 46TH CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2021) |
DocType | ISSN | Citations |
Conference | 0742-1303 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
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Abdulsalam Basabaa | 1 | 0 | 0.34 |
Ehab S. Elmallah | 2 | 105 | 19.29 |