AoI-based Multicast Routing over Voronoi Overlays with Minimal Overhead

TL;DR

This paper introduces MABRAVO, a decentralized multicast routing protocol over Voronoi overlays that minimizes communication overhead within Areas of Interest, ensuring efficient resource use and message dissemination.

Contribution

The paper presents MABRAVO, a novel multicast routing protocol that achieves minimal message overhead in Voronoi-based networks for AoI communication.

Findings

MABRAVO reduces communication overhead to one message per node.

The protocol effectively reaches all devices within an AoI.

Experimental results confirm minimal resource consumption.

Abstract

The increasing pervasive and ubiquitous presence of devices at the edge of the Internet is creating new scenarios for the emergence of novel services and applications. This is particularly true for location- and context-aware services. These services call for new decentralized, self-organizing communication schemes that are able to face issues related to demanding resource consumption constraints, while ensuring efficient locality-based information dissemination and querying. Voronoi-based communication techniques are among the most widely used solutions in this field. However, when used for forwarding messages inside closed areas of the network (called Areas of Interest, AoIs), these solutions generally require a significant overhead in terms of redundant and/or unnecessary communications. This fact negatively impacts both the devices' resource consumption levels, as well as the network bandwidth usage. In order to eliminate all unnecessary communications, in this paper we present the MABRAVO (Multicast Algorithm for Broadcast and Routing over AoIs in Voronoi Overlays) protocol suite. MABRAVO allows to forward information within an AoI in a Voronoi network using only local information, reaching all the devices in the area, and using the lowest possible number of messages, i.e., just one message for each node included in the AoI. The paper presents the mathematical and algorithmic descriptions of MABRAVO, as well as experimental findings of its performance, showing its ability to reduce communication costs to the strictly minimum required.