Modeling for a Greener Internet of Things: Carbon Footprint Planning and Allocation: A Tutorial Approach Using Monte Carlo Simulation

Abstract

Internet of Things involves the interconnectivity of various computing devices of all shapes, sizes and configurations forming complex networks. A key problem with the large-scale proliferation of such devices is the inability to manage their global environmental impact. While, some techniques exist for lowering energy wastage in the form of power-saving techniques, the modeling problem associated with the Carbon Footprint allocation in the Internet of Things has not been solved. In this paper, we propose first steps towards modeling and simulation of Carbon Footprint allocation in complex network scenarios as part of the Internet of Things. We do a comparative study using two baseline schemes of Carbon footprint allocation across a network of computing devices. Extensive simulation experiments demonstrate the effectiveness of the proposed approach in modeling and evaluation of the Carbon Footprint in the Internet of Things.

Carbon Neutrality Approaches for IoT-Enabled Applications -- A Review

“…In this lieu, a few simulators have been implemented. For instance, authors of [30] developed a simulator to understand the level of carbon emissions. In real cases, the carbon emissions could be captured using satelite images or sensor networks.…”

Modeling the Internet of Things, Self-Organizing and Other Complex Adaptive Communication Networks: A Cognitive Agent-Based Computing Approach

“…In previous work, we have proposed the use of modeling and simulation to reduce power usage and to model corporate footprint [ 17 , 18 ]. However, to the best of our knowledge, previous work has not been performed on modeling the Carbon footprint usage for networks of an entire corporation using Cognitive Agent-based Computing approach [ 19 ].…”