Minimum Covering with Travel Cost

  • Sándor P. Fekete
  • Joseph S. B. Mitchell
  • Christiane Schmidt
Conference paper

DOI: 10.1007/978-3-642-10631-6_41

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5878)
Cite this paper as:
Fekete S.P., Mitchell J.S.B., Schmidt C. (2009) Minimum Covering with Travel Cost. In: Dong Y., Du DZ., Ibarra O. (eds) Algorithms and Computation. ISAAC 2009. Lecture Notes in Computer Science, vol 5878. Springer, Berlin, Heidelberg

Abstract

Given a polygon and a visibility range, the Myopic Watchman Problem with Discrete Vision (MWPDV) asks for a closed path P and a set of scan points \({\mathcal S}\), such that (i) every point of the polygon is within visibility range of a scan point; and (ii) path length plus weighted sum of scan number along the tour is minimized. Alternatively, the bicriteria problem (ii’) aims at minimizing both scan number and tour length. We consider both lawn mowing (in which tour and scan points may leave P) and milling (in which tour, scan points and visibility must stay within P) variants for the MWPDV; even for simple special cases, these problems are NP-hard.

We sketch a 2.5-approximation for rectilinear MWPDV milling in grid polygons with unit scan range; this holds for the bicriteria version, thus for any linear combination of travel cost and scan cost. For grid polygons and circular unit scan range, we describe a bicriteria 4-approximation. These results serve as stepping stones for the general case of circular scans with scan radius r and arbitrary polygons of feature size a, for which we extend the underlying ideas to a \(\pi(\frac{r}{a}+\frac{r+1}{2})\) bicriteria approximation algorithm. Finally, we describe approximation schemes for MWPDV lawn mowing and milling of grid polygons, for fixed ratio between scan cost and travel cost.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Sándor P. Fekete
    • 1
  • Joseph S. B. Mitchell
    • 2
  • Christiane Schmidt
    • 1
  1. 1.Algorithms GroupBraunschweig Institute of TechnologyGermany
  2. 2.Department of Applied Mathematics and StatisticsStony Brook University 

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