On-line Search in Two-Dimensional Environment - Publikacja - MOST Wiedzy


On-line Search in Two-Dimensional Environment


We consider the following on-line pursuit-evasion problem. A team of mobile agents called searchers starts at an arbitrary node of an unknown network. Their goal is to execute a search strategy that guarantees capturing a fast and invisible intruder regardless of its movements using as few searchers as possible. As a way of modeling two-dimensional shapes, we restrict our attention to networks that are embedded into partial grids: nodes are placed on the plane at integer coordinates and only nodes at distance one can be adjacent. We give an on-line algorithm for the searchers that allows them to compute a connected and monotone strategy that guarantees searching any unknown partial grid with the use of O(√n) searchers, where n is the number of nodes in the grid. We prove also a lower bound of Ω(√/n logn) in terms of achievable competitive ratio of any on-line algorithm.


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Dariusz Dereniowski, Dorota Urbańska. (2018). On-line Search in Two-Dimensional Environment, 10787, 223-237. https://doi.org/10.1007/978-3-319-89441-6_17

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Inna publikacyjna praca zbiorowa (w tym materiały konferencyjne)
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Tytuł wydania:
Approximation and Online Algorithms - 15th International Workshop strony 223 - 237
Rok wydania:
Opis bibliograficzny:
Dereniowski D., Urbańska D.: On-line Search in Two-Dimensional Environment// Approximation and Online Algorithms - 15th International Workshop/ ed. Roberto Solis-Oba, Rudolf Fleischer Cham: Springer, 2018, s.223-237

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