Energy Saving Transmission Technique for Poisson Distributed Data Exploiting Supportive Transmission in Feedback Channel

In this manuscript a transmission technique, which can save energy thanks to a supportive transmission in the feedback channel is presented. It could be useful in future telemetry networks embedded into IoT or stand-alone WSNs or DSC. The basic round condition for its practical exploitation is that a central node collecting information has enough energy-much more than the supported node. It is suitable in a scenario in which the data collected by the central node and transmitted could be modelled as a Poisson distributed random variable. It is a modification of the technique presented in [1]. In contrast to [1] in this new method the central node does not need to have any prediction capabilities. Beyond this it allows us to make a tradeoff between the achieved gain in savings and delay in data delivery. A proof of concept is given by an example in which approximately 1 bit on average is needed to transmit one value of the Poisson distributed random variable.