Modeling for a Greener Internet of Things: Carbon Footprint Planning and Allocation: A Tutorial Approach Using Monte Carlo Simulation
2015 13th International Conference on Frontiers of Information Technology (FIT) (2015)
Dec. 14, 2015 to Dec. 16, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FIT.2015.38
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, Resource management, Computational modeling, Computers, Monte Carlo methods, Carbon dioxide, Internet of things
Samreen Laghari, Muaz A. Niazi, "Modeling for a Greener Internet of Things: Carbon Footprint Planning and Allocation: A Tutorial Approach Using Monte Carlo Simulation", 2015 13th International Conference on Frontiers of Information Technology (FIT), vol. 00, no. , pp. 166-171, 2015, doi:10.1109/FIT.2015.38