# Opportunistic Communication in Extreme Wireless Sensor Networks

## TL;DR

This paper investigates the performance of resource-constrained wireless sensor networks under extreme conditions such as high traffic, high density, and mobility, challenging the assumptions of typical low-traffic, static scenarios.

## Contribution

It provides an analysis of how extreme conditions affect sensor network performance, extending understanding beyond traditional low-traffic, static environments.

## Key findings

- Performance degrades under high traffic and density
- Mobility introduces significant communication challenges
- Existing protocols may need adaptation for EWSNs

## Abstract

Sensor networks can nowadays deliver 99.9% of their data with duty cycles below 1%. This remarkable performance is, however, dependent on some important underlying assumptions: low traffic rates, medium size densities and static nodes. In this thesis, we investigate the performance of these same resource-constrained devices, but under scenarios that present extreme conditions: high traffic rates, high densities and mobility: the so-called Extreme Wireless Sensor Networks (EWSNs).