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Local Routing on a Convex Polytope in R^3

Sreehari Chandran, R. Inkulu

TL;DR

Addresses local routing on the boundary $\partial P$ of a convex polytope in $\mathbb{R}^3$ by combining a patch-based geometric approximation with a two-level routing structure. The authors partition $\partial P$ into $\delta$-patches, construct a surrogate polytope $P'$ and representative vertices, build geodesic spanners $G_i'$ and a global $G'$, and apply Thorup–Zwick routing to populate compact routing tables on $P$; the resulting scheme achieves an amortized per-vertex space of $O(\min(n, 1/\epsilon^{3/2}))$, a label size of $O\bigl((\log(\min(n, 1/\epsilon)))^2\bigr)$, and a worst-case stretch of $\frac{8+\epsilon}{\sin{\theta_m}}(D+d(s,t))$, with preprocessing time $O\bigl(n+\min(n^3, 1/\epsilon^7)\bigr)$. The work introduces an explicit, local-routing protocol for polytopal surfaces, enabling efficient routing between any pair of vertices and opening directions for extending to non-convex domains or obstacle-rich 3D spaces. It blends geometric sketching, spanner-based connectivity, and graph-routing techniques to achieve scalable routing on 3D polyhedra.

Abstract

Given a convex polytope $P$ defined with $n$ vertices in $\mathbb{R}^3$, this paper presents an algorithm to preprocess $P$ to compute routing tables at every vertex of $P$ so that a data packet can be routed on $P$ from any vertex of $P$ to any other vertex of $P$. At every vertex $v$ of $P$ along the routing path, until the packet reaches its destination, the next hop is determined using the routing tables at $v$ and the information stored in the packet header. In $O(n+\min(n^3, \frac{1}{ε^7}))$ time, the preprocessing algorithm computes a routing table at every vertex of $P$ of amortized size $O(\min(n, \frac{1}{ε^{3/2}}))$ bits. If the optimal shortest distance between $s$ and $t$ on $P$ is $d(s, t)$, then the routing path produced by this algorithm has length at most $\frac{8+ε}{\sin{θ_m}}(D+d(s,t))$. Here, $ε\in (0, 1)$ is an input parameter, $D$ is the maximum length of the diagonal of any cell when $\partial P$ is partitioned into $\frac{1}{ε^3}$ geodesic cells of equal size, and $θ_m$ is half the minimum angle between any two neighbouring edges of $P$ on $\partial P$.

Local Routing on a Convex Polytope in R^3

TL;DR

Addresses local routing on the boundary of a convex polytope in by combining a patch-based geometric approximation with a two-level routing structure. The authors partition into -patches, construct a surrogate polytope and representative vertices, build geodesic spanners and a global , and apply Thorup–Zwick routing to populate compact routing tables on ; the resulting scheme achieves an amortized per-vertex space of , a label size of , and a worst-case stretch of , with preprocessing time . The work introduces an explicit, local-routing protocol for polytopal surfaces, enabling efficient routing between any pair of vertices and opening directions for extending to non-convex domains or obstacle-rich 3D spaces. It blends geometric sketching, spanner-based connectivity, and graph-routing techniques to achieve scalable routing on 3D polyhedra.

Abstract

Given a convex polytope defined with vertices in , this paper presents an algorithm to preprocess to compute routing tables at every vertex of so that a data packet can be routed on from any vertex of to any other vertex of . At every vertex of along the routing path, until the packet reaches its destination, the next hop is determined using the routing tables at and the information stored in the packet header. In time, the preprocessing algorithm computes a routing table at every vertex of of amortized size bits. If the optimal shortest distance between and on is , then the routing path produced by this algorithm has length at most . Here, is an input parameter, is the maximum length of the diagonal of any cell when is partitioned into geodesic cells of equal size, and is half the minimum angle between any two neighbouring edges of on .

Paper Structure

This paper contains 4 sections, 12 theorems, 4 figures.

Key Result

Theorem 1

Given a convex polytope $P$ with $n$ vertices and an input parameter $\epsilon \in (0, 1)$, the preprocessing algorithm assigns a unique label of size $O((\lg{(\min(n, \frac{1}{\epsilon}))})^2)$ bits to each vertex of $P$ and it computes routing table at every vertex of $P$ of amortized size $O(\min

Figures (4)

  • Figure 1: Illustrates patch $\delta_i$ consisting of a contiguous section of faces from $P$, a representative face $f$ of $\delta_i$, and the corresponding representative face $\delta_i'$ containing $f$. Also illustrated the point of projection $v'$ on $\delta_i'$ for a vertex $v$ of $\delta_i$.
  • Figure 2: Illustrates selecting one representative (red) per cell of a grid set up on $\delta_i'$. Also illustrated is a plane $\eta$ orthogonal to $\delta_i'$ containing the representative (red) and a non-representative (blue) belonging to the same grid cell.
  • Figure 3: Illustrates how the next hop for the packet is determined at vertex $p_1$ when the packet is at $p_1$. In the case shown, since the plane $\eta$ intersects edge $p_2p_4$ of $f_2$, the packet at $p_1$ is forwarded to $p_2$.
  • Figure 4: Illustrates how the next hop for the packet is determined at $p_1$ when the packet is at vertex $p_1$. Among all the faces incident to $p_1$, in the sequence of faces intersected by $\eta$, faces $f_1$ and $f_2$ are the first and last ones. Given the packet was at $p$, since $\eta$ intersects $p_2p_4$ of $f_3$ in the case depicted, the packet is forwarded to $p_2$.

Theorems & Definitions (12)

  • Theorem
  • lemma thmcounterlemma
  • lemma thmcounterlemma
  • lemma thmcounterlemma
  • lemma thmcounterlemma
  • lemma thmcounterlemma
  • lemma thmcounterlemma
  • lemma thmcounterlemma
  • lemma thmcounterlemma
  • lemma thmcounterlemma
  • ...and 2 more