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Location and sensing network for industrial automation

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thesis
posted on 23.05.2021, 13:01 by Peyman Moeini
The usages of Wireless Sensor Networks (WSN) have been growing exponentially. WSN are utilized for variety of applications such as monitoring environmental conditions of shipping containers or monitoring the utilization status of construction equipment. There have been many incremental enhancements with respect to energy efficiency and latency improvement of Wireless Sensor Network (WSN) protocols; however, localizing WSNs in indoor environments is poorly understood. In this thesis reports, the performance of existing protocol designs under the assumption that indoor positioning is required will be evaluated. More specifically, the metric considered for this study includes throughput, latency and energy efficiency. Afterwards, an energy efficient WSN protocol is presented called the Location and Sensing Network (LSN) that also has indoor positioning capabilities.

History

Language

eng

Degree

Master of Applied Science

Program

Electrical and Computer Engineering

Granting Institution

Ryerson University

LAC Thesis Type

Thesis