We revisit the linear search problem where a robot, initially placed at the origin on an infinite line, tries to locate a stationary tar-get placed at an unknown position on the line. Unlike previous studies, in which the robot travels along the line at a constant speed, we con-sider settings where the robot’s speed can depend on the direction of travel along the line, or on the profile of the terrain, e.g. when the line is inclined, and the robot can accelerate. Our objective is to design search algorithms that achieve good competitive ratios for the time spent by the robot to complete its search versus the time spent by an omniscient robot that knows the location of the target. We consider several new robot mobility models in which the speed of the robot depends on the terrain. These include (1) different con-stant speeds for different directions, (2) speed with constant acceleration and/or variability depending on whether a certain segment has already been searched, (3) speed dependent on the incline of the terrain. We pro-vide both upper and lower bounds on the competitive ratios of search algorithms for these models, and in many cases, we derive optimal algo-rithms for the search time.

Additional Metadata
Keywords Competitive ratio, Linear terrain, Robot, Search algorithm, Speed of movement, Zig-zag algorithm
Persistent URL dx.doi.org/10.1007/978-3-319-57586-5_36
Series Lecture Notes in Computer Science
Citation
Czyzowicz, J. (Jurek), Kranakis, E, Krizanc, D. (Danny), Narayanan, L. (Lata), Opatrny, J. (Jaroslav), & Shende, S. (Sunil). (2017). Linear search with terrain-dependent speeds. In Lecture Notes in Computer Science. doi:10.1007/978-3-319-57586-5_36