# A multi-layered energy consumption model for smart wireless acoustic sensor networks

## TL;DR

This paper introduces WASN-EM, a comprehensive energy consumption model for wireless acoustic sensor networks, aiming to enhance energy efficiency across sensing, processing, and communication layers for smart sensing applications.

## Contribution

The paper presents the first detailed energy consumption model for wireless acoustic sensor networks to guide design and protocol comparison.

## Key findings

- Provides a foundational energy model for WASN
- Enables comparison of protocol energy efficiency
- Supports development of energy-efficient smart acoustic sensors

## Abstract

Smart sensing is expected to become a pervasive technology in smart cities and environments of the near future. These services are improving their capabilities due to integrated devices shrinking in size while maintaining their computational power, which can run diverse Machine Learning algorithms and achieve high performance in various data-processing tasks. One attractive sensor modality to be used for smart sensing are acoustic sensors, which can convey highly informative data while keeping a moderate energy consumption. Unfortunately, the energy budget of current wireless sensor networks is usually not enough to support the requirements of standard microphones. Therefore, energy efficiency needs to be increased at all layers --- sensing, signal processing and communication --- in order to bring wireless smart acoustic sensors into the market. To help to attain this goal, this paper introduces WASN-EM: an energy consumption model for wireless acoustic sensors networks (WASN), whose aim is to aid in the development of novel techniques to increase the energy-efficient of smart wireless acoustic sensors. This model provides a first step of exploration prior to custom design of a smart wireless acoustic sensor, and also can be used to compare the energy consumption of different protocols.