Making the Most of Sporadic Feedback: Low-Complexity Application Layer Coding for Data Recovery in the Internet of Things

We propose application-layer coding schemes to recover lost data in delay-sensitive uplink (sensor-to-gateway) communications the Internet of Things. Built on an approach that combines retransmissions and forward erasure correction, proposed schemes' salient features include low computational complexity ability exploit sporadic receiver feedback for efficient recovery. Reduced is achieved by keeping number coded transmissions as possible devising a mechanism compute optimal degree packet O(1). Our major contributions are: (a) An enhancement existing scheme called windowed coding, whose greatly reduced recovery performance improved our approach. (b) A technique elements with new structure further reduce improve (c) forwarding which relay node provides resilience against loss overhearing source-to-destination making decisions based overheard information.