Optimization of Witness Selection for Ensuring the Integrity of Data in a Blockchain-Assisted Health-IoT System

Nowadays, a lot of wearable healthcare devices are capable of measuring vital signs and transmitting the measurements wirelessly to user devices or remote servers for analysis. Health IoT (HIoT) systems are established based on these devices. One of the important challenges in these systems is ensuring the correctness and integrity of data received at remote servers. Witnessing transmitted packets in a local network using some witness devices is a promising approach to guarantee the integrity of data. In this paper, we define an optimization problem to select the best witnesses in an area in order to achieve some predefined targets. In order to make our scheme more practical, the packet error rate and the variability of devices capabilities in the local network have been taken into consideration. This problem is solved based on three different scenarios to show the relationship of system parameters.