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- W2048585682 abstract "This paper proposes an iterative algorithm for estimating the least-cost paths in a wireless sensor network (WSN) that is modeled by a Petri net. We assume that each link between two sensor nodes (each transition in the net) is associated with a positive cost to capture its likelihood (e.g., in terms of the transmission time, distance between nodes, or the link capacity). Given the structure of the Petri net and its initial/final state, we aim at finding the paths (with length less than or equal to a given bound L) that could lead us from the initial state to the final state while having the least total cost. We develop an iterative algorithm that obtains the least-cost paths with complexity that is polynomial in the length L." @default.
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- W2048585682 date "2012-01-01" @default.
- W2048585682 modified "2023-09-26" @default.
- W2048585682 title "Bounded Length Least-Cost Path Estimation in Wireless Sensor Networks Using Petri Nets" @default.
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- W2048585682 doi "https://doi.org/10.4304/jnw.7.1.81-87" @default.
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