Dissertation/Thesis Abstract

Energy analysis and traffic surveillance using micro-electromechanical sensor
by Said, Fahad, M.S., California State University, Long Beach, 2015, 56; 1597790
Abstract (Summary)

The advancement of technology has led to significant improvement in the field of Wireless Sensor Networking (WSN). Great success in Micro-Electro-Mechanical System (MEMS) sensor with respect to their size, energy consumption and cost, as well as miniaturization of radio frequency (RF) transceiver and energy/cost efficient micro-controllers has led to the development of small and very low power wireless sensor nodes that would replace the traditional wired system.

The sensor nodes can communicate with other nodes in an intelligent sensor network and can last longer due to their low power consumption. Motivated by the advancement in this field, a wireless MEMS sensor based system is proposed for traffic surveillance to collect the traffic data.

Furthermore, a detailed energy analysis is conducted on the system and the algorithm is improved to minimize the overall power consumption. With refined software code and utilizing low power hardware components, the surveillance system can remain functional for years.

Indexing (document details)
Advisor: Mozumdar, Mohammad
Commitee: Ary, James, Hamano, Fumio
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 55/01M(E), Masters Abstracts International
Subjects: Electrical engineering
Keywords: Energy analysis, Micro-electro-mechanical system sensor
Publication Number: 1597790
ISBN: 978-1-339-01280-3
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