1 / 16

Power-aware Routing in Wireless Sensor Network

Power-aware Routing in Wireless Sensor Network. Lee, Chen-Pang. Ageda. WSN overview Overview of power-aware routing New consideration Experiment plan Conclusion. ZigBee Network Model.

samira
Download Presentation

Power-aware Routing in Wireless Sensor Network

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-aware Routing in Wireless Sensor Network Lee, Chen-Pang

  2. Ageda • WSN overview • Overview of power-aware routing • New consideration • Experiment plan • Conclusion

  3. ZigBee Network Model Reference: Wireless Personal Area Networks (WPANs), Sheng-Shih Wang Dept. of Information Management Minghsin University of Science and Technology

  4. Research Topic in WSN • Topology of message routing • Power management • Security • Wireless encoding

  5. OVERVIEW OF POWER-AWARE ROUTING

  6. Power-aware Routing Static routing • Maximum-Lifetime Routing - pre-determined routing plan • Energy of some node drains away Dynamic routing • Minimum-Energy Routing - minimize the total energy consumption • result in the rapid energy exhaustion of some specific nodes in unicasting mechanism • Maximization of the remaining energy before routing – keep each node alive as long as possible • Remain energy of each node doesn’t mean long life of the network • Maximum-Residual Routing - maximization of the remaining energy after routing • Information requires to be sufficient at real time • Minimum-Energy Multicasting & Minimum-Energy Aggregating - reduce duplicated packets • Minimum-Energy Multicasting - Dijkstra-like algorithm, Prim-like algorithm etc. • Minimum-Energy Aggregating as NP-hard problem

  7. Power Consumption Model t(u) : the transmit amplifier, d(u, v) : Euclidean distance between nodes u and v a: the antenna quality k the environment conditions.

  8. Maximum-Residual Routing

  9. NEW CONSIDERATION

  10. Time Plan for Power Saving RF Synchronization is better to be maintained by MAC of RF chip RF/MCU off Beacon RF on Make RF to Sleep Wake up RF LED on LED off Rx data Process Tx Recovery Timer Update Console Process Sensor Reading Tx data Process RF to Sleep UNET Process User Process UNET Process Preferred

  11. Power Consumption in RF For clock stabilization and RF synchronization Comparing to data transmit, big Rx energy is consumed even without any data transmit because listening is required

  12. EXPERIMENT PLAN

  13. Procedures • Rewrites the power consumption model with consideration of no data period • Creates simulation program, based on even driven, with several famous topologies and routing methods • Compares the simulation results with real ZigBee network

  14. Discrete Event Simulation

  15. Example of Simulation Results

  16. Conclusion • Summary • To approach a practical model of power-aware routing in Wireless Sensor Network • To measure the performance of power-aware routing by simulation • To make the simulation precise by comparison with a real network • Further work • Researches new routing methodology according to the simulation model

More Related