Next Generation Network Coding Technique for IoT

Abstract

Recoding is the unique feature of Random Linear Network Coding (RLNC). It helps to reduce the number of transmissions. It provides low delay. RLNC is a next-generation network coding technique. Its ability to recover packet at the destination, even if there is a packet loss during transmission without retransmission. The receiver can recover back original packets at the destination. The recovery of lost packets is possible with the help of an encoding vector. The encoding vector provides sufficient information at the destination to know what coding coefficients are being used during the encoding process at the sender's side. Here I have successfully demonstrated 4 different concepts in RLNC. They are (i)Multicast sender-receiver (ii) Encode Decode using Random Coefficients (iii) Recoding (iv) Encode Decode on the fly. It is successfully implemented by using heterogeneous architecture and with the help of the Kodo network coding Library. Also, I contributed a survey on the state of the art techniques in RLNC and pointed out the advantages and disadvantages of it. The sliding window is yet another significant concept used in RLNC.