Communication Patterns in Mean Field Models for Wireless Sensor Networks

TL;DR

This paper applies mean-field theory to analyze the long-term behavior and stability of ALOHA-type protocols in large wireless sensor networks, addressing challenges in verification and performance evaluation.

Contribution

It introduces a mean-field modeling approach specifically tailored for large-scale wireless sensor networks to study protocol stability and behavior.

Findings

Mean-field models effectively predict protocol stability in large networks

Long-term trends of ALOHA protocols are characterized

The approach aids in verification of complex wireless protocols

Abstract

Wireless sensor networks are usually composed of a large number of nodes, and with the increasing processing power and power consumption efficiency they are expected to run more complex protocols in the future. These pose problems in the field of verification and performance evaluation of wireless networks. In this paper, we tailor the mean-field theory as a modeling technique to analyze their behavior. We apply this method to the slotted ALOHA protocol, and establish results on the long term trends of the protocol within a very large network, specially regarding the stability of ALOHA-type protocols.