An IoT based environment conscious green score meter towards smart sustainable cities

In today's modern world, use of natural resources is expanding certainly because of the refined lifestyle of the individuals. The unjustifiable use of these non-renewable resources can affect the stability between environ-mental and biological diversity which leads to greenhouse effect. This situation requires awareness and moti-vation to encourage people towards sustainable energy use and conservation in order to reduce global warming. For effective implementation, government initiatives require a systematic public participation to assess house-hold's level of energy self-sustainability and reward accordingly. On this regard, we introduce an IoT powered green architecture to assign an optimal green score to a household by assessing the households' level of energy self-sustainability using a novel green score algorithm based green score meter. The green score algorithm will results high green score rating to a household with high renewable energy production than the non-renewable energy consumption with less air contamination. Based the household energy data, the green score meter computes the green score rating of a household using the green score algorithm and forward the score to the authorized third party like cloud server for green rank calculation and virtual display. Here, we present a tax exemption scheme which benefits the households with high green score rating. The existing frameworks (HEMS, iCHEMS, SHEMS) monitor and aware the user/household for efficient energy management, cost management but in contrast our proposed green architecture is an integrated platform for collective energy management to evaluate energy self-sustainability of the household, so as to give financial incentives. Thus, our proposed green score based tax exemption scheme will appreciate and urge the residents to burn-through less natural assets and forestall less contamination.