Abstract

The pervasive use of wireless sensors in a growing spectrum of human activities reinforces the need for devices with low energy dissipation. In this work, coded communication between a couple of wireless sensor devices is considered as a method to reduce the dissipated energy per transmitted bit with respect to uncoded communication. Different Low Density Parity Check (LDPC) codes are considered to this purpose and post layout results are shown for a low-area low-energy decoder, which offers percentage energy savings with respect to the uncoded solution in the range of 40%–80%, depending on considered environment, distance and bit error rate.

Highlights

  • Wireless Sensor Networks (WSN) have gained growing research interest in the last years

  • In this work we show that even higher energy saving and smaller area can be achieved with Low Density Parity Check (LDPC) codes

  • A key concern in the design of high throughput LDPC code decoders comes from the communication structure that must be allocated to support message passing among Variable Nodes (VNs) and Check Nodes (CNs)

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Summary

Introduction

Wireless Sensor Networks (WSN) have gained growing research interest in the last years. As an example in [2] several system level techniques, including modulation, Media Access Control (MAC) protocols and channel coding techniques are analyzed to achieve energy efficiency in WSNs. In [3] it is shown that in WSNs the transmission energy can be lowered accepting to receive error-affected data. Experimental results in [3] show that LDPC codes are good candidates for WSN applications as they feature a significant coding gain as compared with other codes. They consume about one order of magnitude more than simpler codes as the extended. Most of previous works proposing error correction codes for WSNs assume that networks contain at least two classes of nodes: sensing nodes and central nodes.

Coding and Decoding Algorithms for LDPC Codes
Wireless Sensor Network Environment and Modeling
LDPC Decoder Architecture Design
Experimental Results
Conclusions
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