Magnetworks: how mobility impacts the design of Mobile Networks

TL;DR

This paper investigates how the placement and number of relay nodes in mobile sensor ad-hoc networks can be optimized based on traffic density, using a macroscopic model and an analogy to electric displacement.

Contribution

It introduces a macroscopic model for relay node placement in dense mobile networks, leveraging an analogy to electric displacement to optimize network capacity.

Findings

Optimal relay distribution resembles electric displacement patterns.

Network capacity is maximized by node placement based on traffic density.

The model provides a physical analogy for network design strategies.

Abstract

In this paper we study the optimal placement and optimal number of active relay nodes through the traffic density in mobile sensor ad-hoc networks. We consider a setting in which a set of mobile sensor sources is creating data and a set of mobile sensor destinations receiving that data. We make the assumption that the network is massively dense, i.e., there are so many sources, destinations, and relay nodes, that it is best to describe the network in terms of macroscopic parameters, such as their spatial density, rather than in terms of microscopic parameters, such as their individual placements. We focus on a particular physical layer model that is characterized by the following assumptions: i) the nodes must only transport the data from the sources to the destinations, and do not need to sense the data at the sources, or deliver them at the destinations once the data arrive at their physical locations, and ii) the nodes have limited bandwidth available to them, but they use it optimally to locally achieve the network capacity. In this setting, the optimal distribution of nodes induces a traffic density that resembles the electric displacement that will be created if we substitute the sources and destinations with positive and negative charges respectively. The analogy between the two settings is very tight and have a direct interpretation in wireless sensor networks.