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Minimum exposure path.
According to the minimum exposure path, the deployment of sensors could be improved.
The minimum exposure path found by Global DA is considered as optimal path.
Finally, the shortest path algorithm is employed to seek the minimum exposure path in this sub-network.
Therefore, the problem of continuous minimum exposure path is transformed into a discrete problem in this paper.
For example, Djidjev integrates Voronoi diagram and Euler-Lagrange equation to find the minimum exposure path [29, 30].
Similar(41)
The maximal exposure path and minimal exposure path are essentially the same problem.
According to ref. [40], in the field with scales of 10 × 10, 20 × 20, 50 × 50, and 100 × 100, as well as with the sensor number of 10, 30, and 50, the minimum exposures of paths found by POA and DA are quite close.
The effects of the target guiding factor ρ are discussed on the number of iterations for finding the first connected path (T f ), the number of iterations for finding all the required connected paths (T l ), and the minimum exposure E(H), respectively.
Fig. 6 The diagram of the effect of factor ρ to the algorithm, where a shows the trends of iteration number of first path and TGSARWI paths with the changes of ρ, and b shows the trend of the minimum exposure obtained by TGSARWI DA with the changes of ρ.
PeerStreet lowers that minimum exposure to $1,000 per loan.
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