On the Coloring of Grid Wireless Sensor Networks: the Vector-Based Coloring Method

TL;DR

This paper introduces the Vector-Based Coloring Method (VCM), an optimal periodic coloring algorithm for grid wireless sensor networks that minimizes the number of colors used while avoiding interference, applicable for any transmission range and hop count.

Contribution

The paper presents VCM, a novel method that guarantees optimal periodic coloring in grid networks for any radio range and hop count, improving resource efficiency.

Findings

VCM provides optimal periodic colorings for grid networks.

VCM outperforms distributed algorithms in minimizing colors.

Periodic colorings are asymptotically optimal for infinite grids.

Abstract

Graph coloring is used in wireless networks to optimize network resources: bandwidth and energy. Nodes access the medium according to their color. It is the responsibility of the coloring algorithm to ensure that interfering nodes do not have the same color. In this research report, we focus on wireless sensor networks with grid topologies. How does a coloring algorithm take advantage of the regularity of grid topology to provide an optimal periodic coloring, that is a coloring with the minimum number of colors? We propose the Vector-Based Coloring Method, denoted VCM, a new method that is able to provide an optimal periodic coloring for any radio transmission range and for any h-hop coloring, h>=1. This method consists in determining at which grid nodes a color can be reproduced without creating interferences between these nodes while minimizing the number of colors used. We compare the number of colors provided by VCM with the number of colors obtained by a distributed coloring algorithm with line and column priority assignments. We also provide bounds on the number of colors of optimal general colorings of the infinite grid, and show that periodic colorings (and thus VCM) are asymptotically optimal. Finally, we discuss the applicability of this method to a real wireless network.