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Time Optimal Distance-$k$-Dispersion on Dynamic Ring

Brati Mondal, Pritam Goswami, Buddhadeb Sau

TL;DR

The paper introduces Distance-$k$-Dispersion (D-$k$-D), a generalization of dispersion for $l$ robots on an $n$-node network, focusing on a 1-interval-connected dynamic ring with a rooted initial configuration. It proves that a fully synchronous scheduler is necessary and presents a deterministic FSync algorithm, D-$k$-D DynamicRing, that achieves a valid configuration in $Θ(n)$ rounds, thereby establishing time-optimality. The solution relies on two subroutines, Spread and ReconstructChain, and demonstrates correctness across chain/non-chain configurations under chirality; it also shows how to handle non-chiral settings via a preprocessing step. The work is the first to study D-$k$-D on dynamic rings, with potential extensions to arbitrary networks and scenarios with limited visibility, making a notable contribution to the theory of distributed robot dispersion and synchronization.

Abstract

Dispersion by mobile agents is a well studied problem in the literature on computing by mobile robots. In this problem, $l$ robots placed arbitrarily on nodes of a network having $n$ nodes are asked to relocate themselves autonomously so that each node contains at most $\lfloor \frac{l}{n}\rfloor$ robots. When $l\le n$, then each node of the network contains at most one robot. Recently, in NETYS'23, Kaur et al. introduced a variant of dispersion called \emph{Distance-2-Dispersion}. In this problem, $l$ robots have to solve dispersion with an extra condition that no two adjacent nodes contain robots. In this work, we generalize the problem of Dispersion and Distance-2-Dispersion by introducing another variant called \emph{Distance-$k$-Dispersion (D-$k$-D)}. In this problem, the robots have to disperse on a network in such a way that shortest distance between any two pair of robots is at least $k$ and there exist at least one pair of robots for which the shortest distance is exactly $k$. Note that, when $k=1$ we have normal dispersion and when $k=2$ we have D-$2$-D. Here, we studied this variant for a dynamic ring (1-interval connected ring) for rooted initial configuration. We have proved the necessity of fully synchronous scheduler to solve this problem and provided an algorithm that solves D-$k$-D in $Θ(n)$ rounds under a fully synchronous scheduler. So, the presented algorithm is time optimal too. To the best of our knowledge, this is the first work that considers this specific variant.

Time Optimal Distance-$k$-Dispersion on Dynamic Ring

TL;DR

The paper introduces Distance--Dispersion (D--D), a generalization of dispersion for robots on an -node network, focusing on a 1-interval-connected dynamic ring with a rooted initial configuration. It proves that a fully synchronous scheduler is necessary and presents a deterministic FSync algorithm, D--D DynamicRing, that achieves a valid configuration in rounds, thereby establishing time-optimality. The solution relies on two subroutines, Spread and ReconstructChain, and demonstrates correctness across chain/non-chain configurations under chirality; it also shows how to handle non-chiral settings via a preprocessing step. The work is the first to study D--D on dynamic rings, with potential extensions to arbitrary networks and scenarios with limited visibility, making a notable contribution to the theory of distributed robot dispersion and synchronization.

Abstract

Dispersion by mobile agents is a well studied problem in the literature on computing by mobile robots. In this problem, robots placed arbitrarily on nodes of a network having nodes are asked to relocate themselves autonomously so that each node contains at most robots. When , then each node of the network contains at most one robot. Recently, in NETYS'23, Kaur et al. introduced a variant of dispersion called \emph{Distance-2-Dispersion}. In this problem, robots have to solve dispersion with an extra condition that no two adjacent nodes contain robots. In this work, we generalize the problem of Dispersion and Distance-2-Dispersion by introducing another variant called \emph{Distance--Dispersion (D--D)}. In this problem, the robots have to disperse on a network in such a way that shortest distance between any two pair of robots is at least and there exist at least one pair of robots for which the shortest distance is exactly . Note that, when we have normal dispersion and when we have D--D. Here, we studied this variant for a dynamic ring (1-interval connected ring) for rooted initial configuration. We have proved the necessity of fully synchronous scheduler to solve this problem and provided an algorithm that solves D--D in rounds under a fully synchronous scheduler. So, the presented algorithm is time optimal too. To the best of our knowledge, this is the first work that considers this specific variant.
Paper Structure (20 sections, 11 theorems, 1 equation, 7 figures, 3 algorithms)

This paper contains 20 sections, 11 theorems, 1 equation, 7 figures, 3 algorithms.

Key Result

theorem thmcountertheorem

Distance-$k$-Dispersion on the dynamic ring is not possible for a semi-synchronous scheduler if the initial configuration has a multiplicity node on a 1-interval connected ring.

Figures (7)

  • Figure 1: $v_x$ and $v_y$ are consecutive occupied nodes in the arc $(v_x,v_z)_{\mathcal{D}}$ of length $5$ in direction $\mathcal{D}$. Black dots represent the nodes on the ring and blue boxes represent the robots.
  • Figure 2: Chain configuration where $(v_{i-1},v_j)_{\mathcal{D}}$ is a chain in clockwise direction $\mathcal{D}$ and $(v_{i+1},v_0)_{\mathcal{D}'}$ is a chain in counter clockwise direction for $k=3$.
  • Figure 3: Different types of chain configuration for $k=3$
  • Figure 4: Different types of non-chain configuration for $k=3$
  • Figure 5: Target Configuration of D-$k$-D where $k=3$
  • ...and 2 more figures

Theorems & Definitions (30)

  • theorem thmcountertheorem
  • proof
  • theorem thmcountertheorem
  • proof
  • corollary thmcountercorollary
  • corollary thmcountercorollary
  • definition thmcounterdefinition: Configuration
  • definition thmcounterdefinition: Arc
  • definition thmcounterdefinition: Distance between two nodes
  • definition thmcounterdefinition: Consecutive occupied nodes
  • ...and 20 more