Fog Based Energy Efficient Process Framework for Smart Building

The world is facing an energy crisis. The smart building concept is presented by many researchers using IoT devices that do not have sufficient computational power to compute the data to decide about the results. According to an estimation, there will be 50 billion IoT devices in 2020. Most IoT devices send data to the cloud for processing. Latency and network usage will be increased in cloud servers because the cloud servers will not be able to handle millions of requests spontaneously. In this paper, we have proposed a framework that minimizes latency and energy consumption in cloud computing. The proposed framework uses edge computing and most of the processing is performed on fog nodes. The framework contributes significantly to energy saving by supporting behavioral and physical changes in the cloud network.

[1]  Ioannis Chatzigiannakis,et al.  An IoT-Based Solution for Monitoring a Fleet of Educational Buildings Focusing on Energy Efficiency , 2017, Sensors.

[2]  Axel Jantsch,et al.  Fog Computing in the Internet of Things , 2018 .

[3]  Guozhu Liu,et al.  A Secure and Privacy-Preserving Navigation Scheme Using Spatial Crowdsourcing in Fog-Based VANETs , 2017, Sensors.

[4]  Sarbani Roy,et al.  IoT-fog-cloud based architecture for smart city: Prototype of a smart building , 2017, 2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence.

[5]  Ciprian Dobre,et al.  Big Data and Internet of Things: A Roadmap for Smart Environments , 2014, Big Data and Internet of Things.

[6]  Haris Ch. Doukas,et al.  An Advanced IoT-based System for Intelligent Energy Management in Buildings , 2018, Sensors.

[7]  Tansu Alpcan,et al.  Fog Computing May Help to Save Energy in Cloud Computing , 2016, IEEE Journal on Selected Areas in Communications.

[8]  Roch H. Glitho,et al.  A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges , 2017, IEEE Communications Surveys & Tutorials.

[9]  Alberto Leon-Garcia,et al.  A Fog-Based Internet of Energy Architecture for Transactive Energy Management Systems , 2018, IEEE Internet of Things Journal.

[10]  Jonathan E. Fieldsend,et al.  A Framework of Fog Computing: Architecture, Challenges, and Optimization , 2017, IEEE Access.

[11]  Philipp Leitner,et al.  Resource Provisioning for IoT Services in the Fog , 2016, 2016 IEEE 9th International Conference on Service-Oriented Computing and Applications (SOCA).

[12]  Eui-nam Huh,et al.  Smart gateway based communication for cloud of things , 2014, ISSNIP.

[13]  Rajkumar Buyya,et al.  iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments , 2016, Softw. Pract. Exp..

[14]  Rajkumar Buyya,et al.  Fog Computing: A Taxonomy, Survey and Future Directions , 2016, Internet of Everything.

[15]  Shashank Yadav,et al.  An Efficient Architecture and Algorithm for Resource Provisioning in Fog Computing , 2016 .

[16]  Jameela Al-Jaroodi,et al.  SmartCityWare: A Service-Oriented Middleware for Cloud and Fog Enabled Smart City Services , 2017, IEEE Access.

[17]  Robert John Walters,et al.  Fog Computing and the Internet of Things: A Review , 2018, Big Data Cogn. Comput..

[18]  Abdul Majid Mazlina,et al.  Software Agent And Cloud Computing: A Brief Review , 2016 .

[19]  Eui-nam Huh,et al.  Fog Computing and Smart Gateway Based Communication for Cloud of Things , 2014, 2014 International Conference on Future Internet of Things and Cloud.

[20]  Antonio F. Gómez-Skarmeta,et al.  How can We Tackle Energy Efficiency in IoT Based Smart Buildings? , 2014, Sensors.

[21]  Nadeem Javaid,et al.  Integration of Cloud and Fog based Environment for Effective Resource Distribution in Smart Buildings , 2018, 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC).

[22]  Antonio Pescapè,et al.  Integration of Cloud computing and Internet of Things: A survey , 2016, Future Gener. Comput. Syst..