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13D041NSM - Embedded Sensor Networks

Course specification
Course title Embedded Sensor Networks
Acronym 13D041NSM
Study programme Electrical Engineering and Computing
Module Electronics
Type of study doctoral studies
Lecturer (for classes)
    Lecturer/Associate (for practice)
      Lecturer/Associate (for OTC)
        ESPB 9.0 Status elective
        Condition Master degree studies of electrical engineering
        The goal Provide students the knowledge to understand the smart transducer concept, architecture, implementation details and available standard that defines the transducer networking details and architecture. Students acquire knowledge related to sensor characteristic details, hardware design and software architecture and implementation details regarding the design of embedded sensor networks.
        The outcome Students will be able to design the architecture of smart transducer module and integrate different transducer functions and services and implement software interfaces on microprocessor platform. In addition students will be able to define and implement different smart transducer communication interfaces and data transport models for industrial, wireless or other embedded sensor network.
        Contents
        Contents of lectures Overview of IEEE 1451 standard, concept of smart transducer, transducer module implementation, integration of smart transducer functions and services, network communication models, sensor signal acquisition and data processing, web based smart transducer network implementation concepts and examples.
        Contents of exercises Individual research and development project.
        Literature
        1. Teaching notes available at web site of department/course.
        2. S. C. Mukhopadhyay, G. S. Gupta, Smart Sensors and Sensing Technology, Springer-Verlag, 2008
        3. R. Frank, Understanding Smart Sensors, Arctech House, 2000
        4. E. H. Callaway, Wireless Sensor Networks: Architectures and Protocols, CRC Press, 2004
        5. W. Nowrocki, Measuring System and Sensors, Artech house, inc. 2005
        Number of hours per week during the semester/trimester/year
        Lectures Exercises OTC Study and Research Other classes
        6
        Methods of teaching 90 hours of lectures and discussion, research, consultations, student research projects. Approximately 75 hours of personal study and homework (3 hours per week during semester, and approximately 30 hours of project related work)
        Knowledge score (maximum points 100)
        Pre obligations Points Final exam Points
        Activites during lectures Test paper 0
        Practical lessons 0 Oral examination 50
        Projects
        Colloquia 0
        Seminars 50