PANDA: Preference-Based Bandwidth Allocation in Fog-Enabled Internet of Underground-Mine Things

Abstract

Traditionally, sensor networks are surmised to enhance safety in underground mines by providing consistent monitoring of the conditions. However, to cope with the frequent condition changes of such a hostile environment, we need a specific network architecture for the deployed nodes to enable dynamic decision making. In this article, we argue that the fog computing paradigm can be leveraged to ensure safety in the Internet of Underground-Mine Things. We emphasize on prioritizing and speeding up the processing of sensitive data by introducing a factor named “criticality index” and ensuring the fairness of bandwidth allocation using this index to comply with the resource requirement of critical data. We formulate the interaction between the fog nodes using the notions of the Stackelberg game. Simulation-based results show that using the proposed scheme, the fog nodes are able to allocate bandwidth with less average error and offset bandwidth, compared to the benchmark schemes.