uniform dispersal of robots with minimum visibility range
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Uniform dispersal of robots with minimum visibility range Attila Hideg 1 and Tams Lukovszki 2 1 Budapest University of T echnology and Economics, Hungary Attila.Hideg@aut.bme.hu 2 Etvs Lrnd University, Budapest, Hungary


  1. Uniform dispersal of robots with minimum visibility range Attila Hideg 1 and Tamás Lukovszki 2 1 Budapest University of T echnology and Economics, Hungary Attila.Hideg@aut.bme.hu 2 Eötvös Lóránd University, Budapest, Hungary lukovszki@inf.elte.hu Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  2. Filling • n robots with restricted capabilities > Limited sensing range > No communcation > O(1) bits memory • 2D plane setting > Orthogonal area (2D grid) > Unknown, connected https://ssr.seas.harvard.edu/ • Robots enter at the Door (or multiple Doors) > When a Door becomes empty, a robot is placed immediately • They have to cover the area 2 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  3. Anonymous Restricted Robots • Identical and anonymous • Silent • 1 hop visibility • Common notion of • up-down and left-right • Orthogonal area > Decomposed into square-cells • Robots can move to neighboring cells > i.e. cells sharing a side 3 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  4. Anonymous Restricted Robots • Identical and anonymous • Silent • 1 hop visibility • Common notion of • up-down and left-right • Orthogonal area > Decomposed into square-cells • Robots can move to neighboring cells > i.e. cells sharing a side 4 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  5. Synchronous Look-Compute- Move (LCM) • Look: take a snapshot • Compute: calculate the destinatin • Move: move to the destination Compute Look Move 5 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  6. Lower bounds • Visibility: 1 hop • W(n) running time • Memory: O(1) bits [Barrameda et al. 2008] 6 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  7. State of the art • Visibility range: # hops • Communcation range: # hops • Memory: # bits Method Doors Visibility Comm . Memory Area DFLF [Hsiang et al. 2004]] Single 2 2 2 Arbitrary TALK [ Barrameda et al 2013] Single 2 2 4 Orthogonal MUTE [ Barrameda et al 2013] Single 6 0 9 Orthogonal MULTIPLE [Barrameda et al 2008] Multiple 3 0 4 Orthogonal Single Door ( new ) Single 1 0 13 Orthogonal Multiple Door ( new ) Multiple 1 0 13 Orthogonal 7 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  8. Our Contribution (1) • Single Door • Requirements > 1 hop visibility > No communcation > 13 bits memory > Common top-down, left-right directions • Running time > O(n) rounds: 12n LCM cycles 8 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  9. Our Contribution (2) • Multiple Door • Requirements > 1 hop visibility > No communcation > 13 bits memory > Common top-down, left-right directions • Running time > O(n) rounds: 12n LCM cycles 9 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  10. Method • Mimimcs a DFS traversal of the area • Main tasks to solve: > Prevent collisions > Fill the whole area • Main ideas: > Timing of movements > Follow the Leader method 10 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  11. Method – Filling the area • Mimimcs a DFS traversal of the area • DFS tree > Unkown for the robots > T raversed by the robots > Branches are fjlled 11 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  12. Method – States • Leader-Follower method • Four possible states 12 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  13. Method – Invariants • There is at most one Leader • When the Leader stucks, > the Leadership is transfered • Followers only follow their predecessor > Predecessor is either in a neighboring cell or > It moved away, then in the next step the follower moves to its prevIous position 13 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  14. Method – Preventing Collisions • Timing of the movements • Step > Four possible directions (North, East, South, West) • Round > 4 step long time window > Odd and Even rounds for the robots > Odd: observing, Even: moving 14 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  15. Method – Preventing Collisions • Example > North step > r’ moves 15 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  16. Method – Preventing Collisions Look phase: 16 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  17. Method – Preventing Collisions Compute phase: 17 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  18. Method – Preventing Collisions Move phase: 18 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  19. Method – Preventing Collisions Look phase: 19 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  20. State: Follower • T ask: Follow its predecessor > One hop visibility 20 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  21. State: Follower • T ask: Follow its predecessor > One hop visibility • Odd rounds > Observes the predecessor l and empty neighbors l Stores which direction the predecessor moves > (known from the timing!) 21 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  22. State: Follower • T ask: Follow its predecessor > One hop visibility • Odd rounds > Observes the predecessor l and empty neighbors l Stores which direction the predecessor moves > (known from the timing!) • Even rounds > Moves to the previous position of the predecessor 22 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  23. State: Follower • T ask: Follow its predecessor > One hop visibility • Odd rounds > Observes the predecessor l and empty neighbors l Stores which direction the predecessor moves > (known from the timing!) • Even rounds > Moves to the previous position of the predecessor • If predecessor did not move > Switches to Leader state > Leadership transferred 23 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  24. State: Leader • T ask > Has to move to free cells • Odd rounds > T akes a snapshot, and stores occupied cells • Even round > Moves to the cell corrseponding to the direction of the step if it is unoccupied • Switch to Stopped if no free cells around 24 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  25. State: None • Robot placed at the Door > After predecessor moved from it > Initial state is None > Knows which step is the currently performed (N,E,S,W) • Predecessor moved in even round > None-state robot must have its odd round in the next round > Idle in the current round and > becomes a Follower in the next round 25 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  26. Result Theorem 1: The algorithm fjlls a connected orthogonal area with a single door • In O(n) rounds • Requirements > Visibility range of 1 hop > O(1) bits of persistent memory > Common notion of North, South, East, West 26 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  27. Analysis • The Leader only moves to free cells > T akes a snapshot in odd rounds > Knows which ones are free in even rounds 27 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  28. Analysis • The Leader only moves to free cells > T akes a snapshot in odd rounds > Knows which ones are free in even rounds 28 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  29. Analysis • The Leader only moves to free cells > T akes a snapshot in odd rounds > Knows which ones are free in even rounds 29 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  30. Analysis • The Leader only moves to free cells > T akes a snapshot in odd rounds > Knows which ones are free in even rounds 30 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  31. Analysis • Each Follower knows where its predecessor is > Odd round: – knows which neighbor – observes its movement > Even round: follows 31 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  32. Analysis • At most one Leader is present in the area > Leadership transferred 32 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

  33. Analysis • At most one Leader is present in the area > Leadership transferred 33 Attila Hideg and T amás Lukovszki Uniform dispersal of robots with minimum visibility range

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