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http://dx.doi.org/10.3837/tiis.2021.07.005

An IoT based Green Home Architecture for Green Score Calculation towards Smart Sustainable Cities  

Kumaran, K. Manikanda (Department of Information Technology, E.G.S. Pillay Engineering College)
Chinnadurai, M. (Department of Computer Science and Engineering, E.G.S. Pillay Engineering College)
Manikandan, S. (Department of Information Technology, E.G.S. Pillay Engineering College)
Murugan, S. Palani (Department of Computer Science and Engineering, E.G.S. Pillay Engineering College)
Elakiya, E. (Department of Computer Science and Engineering, E.G.S. Pillay Engineering College)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.15, no.7, 2021 , pp. 2377-2398 More about this Journal
Abstract
In the recent modernized world, utilization of natural resources (renewable & non-renewable) is increasing drastically due to the sophisticated life style of the people. The over-consumption of non-renewable resources causes pollution which leads to global warming. Consequently, government agencies have been taking several initiatives to control the over-consumption of non-renewable natural resources and encourage the production of renewable energy resources. In this regard, we introduce an IoT powered integrated framework called as green home architecture (GHA) for green score calculation based on the usage of natural resources for household purpose. Green score is a credit point (i.e.,10 pts) of a family which can be calculated once in a month based on the utilization of energy, production of renewable energy and pollution caused. The green score can be improved by reducing the consumption of energy, generation of renewable energy and preventing the pollution. The main objective of GHA is to monitor the day-to-day usage of resources and calculate the green score using the proposed green score algorithm. This algorithm gives positive credits for economic consumption of resources and production of renewable energy and also it gives negative credits for pollution caused. Here, we recommend a green score based tax calculation system which gives tax exemption based on the green score value. This direct beneficiary model will appreciate and encourage the citizens to consume fewer natural resources and prevent pollution. Rather than simply giving subsidy, this proposed system allows monitoring the subsidy scheme periodically and encourages the proper working system with tax exemption rewards. Also, our GHA will be used to monitor all the household appliances, vehicles, wind mills, electricity meter, water re-treatment plant, pollution level to read the consumption/production in appropriate units by using the suitable sensors. These values will be stored in mass storage platform like cloud for the calculation of green score and also employed for billing purpose by the government agencies. This integrated platform can replace the manual billing and directly benefits the government.
Keywords
Cloud Computing; green energy; green home system; Internet of things; smart sustainable city; smart taxation; wireless sensor network;
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