Given that next generation networks are expected to be populated by a large number of
devices, there is a need for quick deployment and evaluation of alternative mechanisms to
cope with the possible generated traffic in large-scale distributed data networks. In this
sense, the Raspberry Pi has been a popular network node choice due to its reduced size,
processing capabilities, low cost and its support by widely-used operating systems. For
information transport, network coding is a new paradigm for fast and reliable data …

… Therefore, in this work, we provide an in-depth performance evaluation of Random
Linear Network Coding (RLNC)-based schemes for the Raspberry Pi Models 1 and 2, by
showing the processing speed of the encoding and decoding operations and the
corresponding energy consumption. Our results show that, in several scenarios, processing
speeds of more than 80 Mbps in the Raspberry Pi Model 1 and 800 Mbps in the Raspberry
Pi Model 2 are attainable. Moreover, we show that the processing energy per bit for network …