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Introduction to Wireless Sensor Networks

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21 diapositives · 327 Views · Sep 05, 2014

Explore wireless terms, compare WSN with telemetry, learn about SCADA, FCC, and more. Understand radio propagation mechanisms and loss models for effective network design.

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  1. Introduction to Wireless Sensor Networks Wireless Terms, FAQ & Glossary 27 January 2005

  2. Organizational Class Website www.engineering.uiowa.edu/~ece195/2005/ Class Time Office Hours

  3. Organizational No Class on Monday January 31

  4. Review Questions • Name and explain the differences and similarities between the concept of a WSN and traditional telemetry • Explain what the Argos system is • Explain what the acronym SCADA stands for • True or false – wireless fleet management is an example of WSNs • Explain what the term “ISM” means

  5. Wireless Terms • Decibel (dB). Ratio of two powers • dBm. The reference power is in mW • SNR. Signal-to-Noise Ratio. Power, expressed in dB • Attenuation. Power loss (dB) • CDMA. Code Division Multiple Access • Simplex communication. One direction at a time • Duplex communication . Transmit and receive simultaneously • FCC. Federal Communications Commission • Antenna gain. How much more power the antenna received compared to reference (half wave). Expressed in dB • MAC. Medium/Media Access Control

  6. Wireless Terms • Circuit Switched. Dedicated (virtual) link between parties. Connection held even when no data transmitted. • Packet Data. Split information into packets and route independently through network. Use of spectrum only when data are transmitted. • Spread Spectrum. A wideband modulation which imparts noise-like characteristics to an RF signal. • Frequency-hopping and Direct Sequence Examples of Spread Spectrum • TDMA. Time-Division Multiple Access • FDMA. Frequency Division Multiplex Access

  7. BER and Effective Channel Capacity • Analog vs. Digital links • BER – Bit Error Rate increases as SNR decreases • Error detection and correction mechanisms • Repeated transmission • Reduce channel capacity

  8. Radio Propagation Mechanisms • Free Space • Reflection • Wave impinges on large (compared to wavelength) objects. • Diffraction • Waves bends around obstacle (no LOS) • Scattering • Objects much smaller that wavelength

  9. Radio Propagation • Simple (but useful) models exist for • Free Space • Common geometries (flat, curved earth, wall) • Radio propagation in many real environments is complex • Multipath propagation • Shadowing • Attenuation • Environment changes => fluctuations in received power

  10. Transmitter Receiver R ht hr Pt , Gt Pr , Gr Radio Propagation • Free space model

  11. Transmitter Receiver R ht hr Phase shift Pt , Gt Pr , Gr Radio Propagation • Two-beam/ray ground reflection model, large R • The “breakpoint” distance R at which the model changes from 1/R2 to 1/R4 is  4hthr/

  12. Fresnel Zone and LOS • Diffraction Consistent Units 60% rule-of-thumb

  13. Example • A 1-km 2.4 GHz link has two antennas that are 2 m above the ground. Do we have LOS? 60% of this is 3.3 m, so we don’t have clearance. Answer is “NO”

  14. Loss Models • Why need model? • Hybrid models (physics and empirical) This graph does not reflect temporal changes

  15. Indoor Propagation • Signal decays much faster • Coverage contained by walls (waveguides) • Very complicated dynamic (people move) attenuation and multipath Path Loss = Unit Loss + 10nlog(R) = kF+lW • Unit Loss = power loss @ 1 m (say 30 dB) • n = power delay index • R • k = # of floors, F= # of floors • l = # of walls, W= loss per wall

  16. Indoor Propagation Path Loss = Unit Loss + 10nlog(R) = kF+lW

  17. Received Signal Strength Indicator (RSSI) • Measure of received signal strength of radio • Indicator of link quality • Radio can be interrogated for RSSI • On-board Software use RSSI • Typically a number 23, 19, etc. • Consult manufacturer for mapping to power level dBm

  18. RSSI OS determines RSSI is too small for reliable link

  19. RSSI Radio with serial interface Controller +++ ATRS<CR> ATCN<CR> 40 Small!

  20. No Class on Monday January 31

  21. Introduction to Wireless Sensor Networks Energy Considerations in Wireless Sensor Networks 2 February 2005