Date of Award

6-2022

Document Type

Thesis

Publisher

Santa Clara : Santa Clara University, 2022.

Department

Electrical and Computer Engineering

First Advisor

Andy Wolfe

Abstract

With the rise of low-power processing and the availability of cheap solar, our project aims to create a low-power sensor network that can gather and report data with little oversight. The project will use a bluetooth mesh network to create a generalized solution where the network can start up regardless of the environment or number of nodes. Our tasks include designing algorithms that tackle redundancy in the face of node failure, self test and diagnostics, and power on and off strategies. The project aims to solve the problem of timing and communication when power is inconsistent and not shared. Our current task is working on developing the algorithms necessary for the network to function and communicate information properly.

Available for download on Monday, January 09, 2023

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