Energy-efficient Wireless Analog Sensing for Persistent Underwater Environmental Monitoring

06/30/2019
by   Vidyasagar Sadhu, et al.
0

The design of sensors or "things" as part of the new Internet of Underwater Things (IoUTs) paradigm comes with multiple challenges including limited battery capacity, not polluting the water body, and the ability to track continuously phenomena with high temporal/spatial variability. We claim that traditional digital sensors are incapable to meet these demands because of their high power consumption, high complexity (cost), and the use of non-biodegradable materials. To address the above challenges, we propose a novel architecture consisting of a sensing substrate of dense analog biodegradable sensors over which lies the traditional Wireless Sensor Network (WSN). The substrate analog biodegradable sensors perform Shannon mapping (a data-compression technique) using just a single Field Effect Transistor (FET) without the need for power-hungry Analog-to-Digital Converters (ADCs) resulting in much lower power consumption, complexity, and the ability to be powered using only sustainable energy-harvesting techniques. A novel and efficient decoding technique is also presented. Both encoding/decoding techniques have been verified via Spice and MATLAB simulations accounting for underwater acoustic channel variations.

READ FULL TEXT
research
03/28/2020

Energy-efficient Analog Sensing for Large-scale and High-density Persistent Wireless Monitoring

The research challenge of current Wireless Sensor Networks (WSNs) is to ...
research
01/21/2020

A Power-Efficient Audio Acquisition System for Smart City Applications

Acoustic noise has adverse effects on human activities. Aside from heari...
research
06/30/2019

Improved Circuit Design of Analog Joint Source Channel Coding for Low-power and Low-complexity Wireless Sensors

To enable low-power and low-complexity wireless monitoring, an improved ...
research
06/30/2019

Towards Ultra-low-power Realization of Analog Joint Source-Channel Coding using MOSFETs

Certain sensing applications such as Internet of Things (IoTs), where th...
research
09/04/2019

ACES -- Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning

Internet of Things forms the backbone of modern building applications. W...
research
07/05/2023

Modular DFR: Digital Delayed Feedback Reservoir Model for Enhancing Design Flexibility

A delayed feedback reservoir (DFR) is a type of reservoir computing syst...
research
11/07/2021

CoughTrigger: Earbuds IMU Based Cough Detection Activator Using An Energy-efficient Sensitivity-prioritized Time Series Classifier

Persistent coughs are a major symptom of respiratory-related diseases. I...

Please sign up or login with your details

Forgot password? Click here to reset