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Wireless Sensor Networks


Course Description

The design and deployment of wireless sensor networks. Students will learn the fundamental issues in sensing, data acquisition, power, synchronization, and informatics as related to the unique requirements and constraints of distributed wireless sensor systems.

Additional Requirements for Graduate Students:
Graduate students have additional homework and project requirements that challenge the student to go deeper into the course subject. The additional work will include: (1)Each homework assignment will have one-two extra advanced questions; (2)Course project will have scientific research, literary survey, and extensive theoretical/empirical evaluation requirement. These requirements can include creating and executing a project independently, regular progress reports about the project, and the use of grading standards/rubrics that account for the maturity, sophistication of design ability, and increased engineering accountability. Specifically, graduate students will be led to design advanced sensor network algorithms/systems and perform scientific evaluations.


Athena Title

Wireless Sensor Networks


Prerequisite

CSCI 1730 or ELEE 2045 or permission of department


Semester Course Offered

Offered every year.


Grading System

A - F (Traditional)


Course Objectives

In this course: 1) Students will design sensor networks solutions to real world systems problems involving environmental monitoring, body sensors, biomedical tracking, traffic monitoring, and energy use. 2) Students will learn to program wireless sensor network platforms to participate in distributed data collection. 3) Students will learn to address issues in localization, synchronization, scheduling, and powering remote sensor platforms. 4) Students will learn informatics techniques for information processing and visualization of acquired sensing data. 5) Students will study the ethical and privacy issues in sensor network deployments. These objectives will be achieved through case studies, exercises, example models and laboratory exercises.


Topical Outline

1) Introduction to wireless sensor networks 2) Sensing principles: types of sensors, conversion between analog and digital, signal sampling, sensor calibration 3) Networking principles: Layers, Topologies, Routing, Addressing, Multiple Access 4) Mesh networks: localization, routing, recovery 5) Synchronization, timing, and energy management 6) Security and Privacy 7) Informatics: Data management and visualization 8) Ethical, legal, and social implications of sensor network technologies