1 / 11

Iterative Decoding for Redistributing Energy Consumption in Wireless Sensor Networks

This paper discusses an iterative decoding approach for wireless sensor networks (WSNs), specifically focusing on the IEEE 802.15.4 physical layer. It proposes an augmentation to enhance error correction, which leads to fewer retransmissions, reduced transmission power, and optimized energy consumption. Practical considerations for the implementation are addressed, including header synchronization and payload energy performance. The proposed design redistributes energy consumption from source to sink, beneficially handling large payloads while maintaining interoperability with standard protocols. This approach aims to improve the overall efficiency and performance of WSNs.

zeph-nieves
Télécharger la présentation

Iterative Decoding for Redistributing Energy Consumption in Wireless Sensor 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. Iterative Decoding for Redistributing Energy Consumption in Wireless Sensor Networks R. G. Maunder, A. S. Weddell, G. V. Merrett, B. M. Al-Hashimi and L. Hanzo 23 June 2008

  2. Overview Wireless sensor network scenario IEEE 802.15.4 physical layer Standard Proposed augmentation Practical considerations Error ratio performance Energy savings and complexity Conclusions

  3. Wireless sensor network scenario

  4. IEEE 802.15.4 physical layer Standard IEEE 802.15.4 PHY Proposed augmentation to IEEE 802.15.4 PHY

  5. Features of the proposed augmentation Increased error correction capability Fewer retransmissions required Reduced transmit power Slightly increased transmitter complexity Significantly increased receiver complexity

  6. Wireless sensor network scenario

  7. Practical considerations Header conveys synchronisation sequence and payload length Both must be recovered before iterative decoding can commence. Header is transmitted at high power using standard PHY Payload is transmitted at low power using augmented PHY

  8. Payload error ratio performance

  9. Transmitter energy savings • Augmented PHY performs additional processing • Values conservatively estimated for Chipcon CC2430 • 20% reductions in energy consumption

  10. Receiver complexity costs

  11. Conclusions Physical layer design can be optimised in order to benefit particular wireless sensor network scenarios. Proposed design beneficially redistributes energy consumption from source to sink. Reduces probability of transmission errors. Facilitates reduced transmission power. Transforms large payloads (which have a low header overhead) from being undesirable to being desirable. Can interoperate with standard IEEE 802.15.4. Thank you!

More Related