Multi Criteria Decision Making (MCDM) based Spectrum Moderator for Fog-Assisted Internet of Things

Abstract

Internet of Things (IoT) comprises of large number of devices which are heterogeneous in their hardware potentials and types of data traffic. In addition, IoT network is not having a common QoS (Quality of Service) goal but exhibits heterogeneous QoS demands which are dynamically driven by different IoT services such as smart city, e-health, e-business, smart parking etc. These heterogeneous services result in sporadic spectrum usage and make it difficult to achieve spectrum efficiency in IoT. It will also lead to spectrum scarcity for emergency IoT services. In this paper, Multi Criteria Decision Making (MCDM) approach is proposed to coordinate IoT devices in spectrum sharing. This frame work evaluates and ranks the available spectrum bands based on their multiple spectral characteristics to match with the capacities and QoS needs of IoT devices. The complexity of the traditional multiple criteria ranking is reduced by one-fourth by introducing a Service-based Analytical Hierarchical Processing (S-AHP). Proposed framework is realized with Fog computing-MapReduce infrastructure to meet the latency constraints of IoT devices. Hadoop based simulation results show that the proposed approach achieves improved spectrum utilization and reduced service drops in comparison with other MCDM approaches such as Simple Additive Weighting (SAW) and Preference Selection Index (PSI).