Application-Layer Coding with Intermittent Feedback under Delay and Duty-Cycle Constraints

TL;DR

This paper introduces two application-layer coding schemes that leverage intermittent feedback to improve packet delivery success in delay-sensitive, duty-cycle constrained wireless sensor networks, significantly reducing failure rates.

Contribution

The paper presents novel coding schemes that operate over GF(2) using intermittent feedback, tailored for energy-efficient, delay-constrained wireless communications.

Findings

Significant reduction in delivery failure rates compared to traditional methods

Effective in various channel models including Bernoulli, Gilbert-Elliott, and LoRa

Demonstrates orders-of-magnitude improvements in reliability

Abstract

We propose two application-layer coding schemes for delay-constrained point-to-point packet communications with restrictions on the transmitter's maximum duty-cycle. The schemes operate over GF(2) and utilize intermittently available receiver feedback for erasure correction. Applications that will benefit from the proposed schemes include wireless sensor networks in which energy-constrained sensors must deliver readings to a gateway within a deadline. Simulation results for independent Bernoulli erasure channels, Gilbert-Elliott channels, and Long Range (LoRa) communications demonstrate orders-of-magnitude reductions in the delivery failure rate as compared to feedback-assisted repetition redundancy and a blind coding scheme that does not utilize feedback.