1 / 17

Power Control in Wireless Ad Hoc Networks

Power Control in Wireless Ad Hoc Networks. Crystal Jackson SURE 2005. Outline. Motivation/Background System description Simulation model Results Conclusion and future work. Background/Motivation. Ad hoc wireless network? Group of self configuring wireless nodes Lack infrastructure

kerem
Télécharger la présentation

Power Control in Wireless Ad Hoc Networks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Power Control in Wireless Ad Hoc Networks Crystal Jackson SURE 2005

  2. Outline • Motivation/Background • System description • Simulation model • Results • Conclusion and future work

  3. Background/Motivation • Ad hoc wireless network? • Group of self configuring wireless nodes • Lack infrastructure • Power Control • Important issue • No arbiter • Too much vs. too little • Limited power supply

  4. System Description • Variable-length packets • Data has variable lengths • Larger packets require more energy • Channel Protocol • RTS/CTS/DATA/ACK rules CTS ACK RTS A B

  5. Signal vs. Interference T1 R1 R2 T2

  6. Signal vs. Interference EINR (Energy to Interference plus Noise Ratio) Spreading Factor Received Energy EINR > β Successful Noise Interference and where path loss formula

  7. Power Schemes • Fixed Power • Each node uses a fixed power, Pmax • No calculations • RTS, CTS and DATA • Simple Adaptive Power • Simple calculation • RTS,CTS, and DATA interference margin depends on distance

  8. Power Schemes Distance = 0.7 • Problem Distance = 2.0 16.7W Distance = 1.0 3.6W 19.5.0W 21.9W 15.0W 3.6W 16.7W 3.6W

  9. Power Schemes • Genie-Aided Adaptive Power* • Actual interference used from environment • Iteratively adjust power based on interference values • Power for each node converges to minimum • Update power every time interference environment changes • Only used for DATA transmissions R1 T1 R2 T2 * * T1 RTS DATA R1 CTS ACK SAME * * T2 RTS DATA R2 CTS ACK * T.Elbatt and A. Ephremides, “Joint Scheduling and Power Control for Wireless Ad Hoc Networks,” IEEE Wireless Commun., vol.3, pp. 74-85, Jan. 2004.

  10. Simulation Model • Network Layer • Queue • First in First Out • Maximum limit of 50 packets • Routing • Dijkstra’s algorithm to calculate routes with fewest relays • Radius calculated using EINR equation • Packet Generation • Each node generates a packet in a slot with probability p • Randomly selected destination for packet

  11. Simulation Model Diameter = 2 Diameter = 3 B A D C E F

  12. Results Throughput for Fixed Power Throughput for Simple Adaptive Power

  13. Results

  14. Results Throughput for Genie-Aided Power Throughput for Simple Adaptive Power

  15. Results

  16. Conclusion • Simple Adaptive power better than fixed • approximately same throughput • 200% increase in throughput efficiency • Genie-Aided Power • significant improvement in throughput over Simple Adaptive • Some increase in throughput efficiency • Impractical to implement • Future Work • Improve Simple Adaptive scheme for better throughput

  17. Acknowledgements • Dr. Russell • SURE Coordinators • Dr. Noneaker • Dr. Xu • NSF

More Related