Design of Cloud-Based Green IoT Architecture for Smart Cities

In the smart cities, objects can smartly communicate with the people through Internet of Things (IoT). It will make smart cities a greener place by detecting pollution through IoT and environmental sensors. In order to maintain the sustainability of green place in smart cities, the emerging technology, i.e. Green IoT automatically and intelligently makes smart cities sustainable in a collaborative manner. Governments and a lot of organizations around the world are doing a lot of efforts to campaign the importance of the reduction of energy consumption and carbon production as well as emphasize on the Green IoT for smart cities. Various IoT related smart cities architectures are already presented in literature. But this work presents the concept of the “Green IoT” to create a green environment which will apprehend the idea of energy saving in smart cities. In this chapter, design of Green IoT architecture is proposed for smart cites with the focus to reduce energy consumption at each stage and ensure realization of IoT toward green. This proposed Green IoT architecture is based on the cloud based system which reduces the hardware consumption.

[1]  Lorcan Coyle,et al.  On Ambient Information Systems: Challenges of Design and Evaluation , 2009, Int. J. Ambient Comput. Intell..

[2]  Abdul-Rahman Al-Ali,et al.  Role of internet of things in the smart grid technology , 2015 .

[3]  A. V. Deshpande,et al.  Trust Management Model based on Fuzzy Approach for Ubiquitous Computing , 2016, Int. J. Ambient Comput. Intell..

[4]  K. J. Ray Liu,et al.  Time-Reversal Wireless Paradigm for Green Internet of Things: An Overview , 2014, IEEE Internet of Things Journal.

[5]  Andreas Schaller,et al.  Motorola's Experiences in Designing the Internet of Things , 2009 .

[6]  Saraju P. Mohanty,et al.  Everything You Wanted to Know About Smart Cities , 2016, IEEE Consumer Electron. Mag..

[7]  Patrick Kurp,et al.  Green computing , 2008, Commun. ACM.

[8]  Ryan Devlin,et al.  The Role of Augmented Reality within Ambient Intelligence , 2011, Int. J. Ambient Comput. Intell..

[9]  Peter Friess,et al.  Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems , 2013 .

[10]  Practices San Murugesan,et al.  Harnessing Green IT: Principles and , 2008 .

[11]  Chandra Sukanya Nandyala,et al.  Green IoT Agriculture and HealthcareApplication (GAHA) , 2016 .

[12]  Sherali Zeadally,et al.  Enabling Technologies for Green Internet of Things , 2017, IEEE Systems Journal.

[13]  Xiaobin Shen,et al.  Intrusive Evaluation of Ambient Displays , 2009, Int. J. Ambient Comput. Intell..

[14]  Prasan Kumar Sahoo,et al.  Big data analytic architecture for intruder detection in heterogeneous wireless sensor networks , 2016, J. Netw. Comput. Appl..

[15]  Romano Fantacci,et al.  Cognitive Spectrum Sharing: An Enabling Wireless Communication Technology for a Wide Use of Smart Systems , 2016, Future Internet.

[16]  Arkady B. Zaslavsky,et al.  Waste Management as an IoT-Enabled Service in Smart Cities , 2015, NEW2AN.

[17]  Parikshit N. Mahalle,et al.  Lightweight Key Management for Adaptive Addressing in Next Generation Internet , 2017, Int. J. Ambient Comput. Intell..

[18]  Li Juan Sun,et al.  The Research and Application of Vehicle Identification Using KPCA Based on the Car Networking Environment , 2011 .

[19]  Alexiei Dingli,et al.  Turning Homes into Low-Cost Ambient Assisted Living Environments , 2012, Int. J. Ambient Comput. Intell..