Reducing multicast power consumption in wireless sensor networks nodes

Several studies have shown that the power consumption of Information and Communications Technology (ICT) nodes account for up to 3% of the worldwide power supply and that they are responsible for 2% of the global carbon dioxide (C0
₂
) emission. However, several initiatives are being put in place to reduce the power consumption of the ICT sector in general. To this goal, we propose a novel model. The new model, which is developed based upon input-oriented Chanes, Cooper and Rhodes (CCR) data envelopment analysis (DEA) methodology is an alternative solution to the existing minimum power multicast methodology that is developed using Multicast Incremental Power (MD?) algorithm. The simulation result of the MD? algorithm is compared with the empirical DEA model, and the results, using DEA implementation, show that it is possible to further reduce the average multicast power in Wireless Sensor Networks (WSNs) if they operate efficiently.