Green Internet of Things: A Survey of Enabling Techniques

Pervasive computing which enables manipulation, storage and communication amenities to appear everywhere and anytime is a promising paradigm in human's daily life. It requires seamless assimilation and interaction of complex and heterogeneous systems under the umbrella of the Internet of Things. Enormous devices used in Internet of Things sense, gather and communicate important information from their environments. This exchange of large volume of data among billions of connected devices demands massive energy and thus has led to an increase in the carbon footprint. Therefore, new energy efficient architectures with the reservation of renewable energy resources are progressively drawing lot of efforts to attain an ecologically balanced “Green” world. Green Internet of Things visualizes the concept of minimizing the energy consumption by devices. This paper reviews the need and requirement of Green Internet of Things. It explores and discusses efficient utilization of various enabling techniques to achieve Green Internet of Things. The paper also evaluates the strategies such as devising energy efficient data centers, energy efficient transmission of data from sensors, and implementation of energy efficient policies that promise to reduce the energy consumption. Further, the paper critically evaluates existing strategies for Green Internet of Things and recommends few to attain this initiative.

[1]  Erol Gelenbe,et al.  The impact of information technology on energy consumption and carbon emissions , 2015, UBIQ.

[2]  Choong Seon Hong,et al.  A system model for energy efficient green-IoT network , 2015, 2015 International Conference on Information Networking (ICOIN).

[3]  Hamed Mohsenian Rad,et al.  Optimal integration of renewable energy resources in data centers with behind-the-meter renewable generator , 2012, 2012 IEEE International Conference on Communications (ICC).

[4]  Rolf H. Weber,et al.  Internet of Things - New security and privacy challenges , 2010, Comput. Law Secur. Rev..

[5]  Antonio F. Gómez-Skarmeta,et al.  An indoor localization system based on artificial neural networks and particle filters applied to intelligent buildings , 2013, Neurocomputing.

[6]  Pierre Vandergheynst,et al.  Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes , 2011, IEEE Transactions on Biomedical Engineering.

[7]  Waqar Mahmood,et al.  Energy efficient green routing protocol for Internet of Multimedia Things , 2015, 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

[8]  Takashi Kameya,et al.  A preliminary categorization of end-of-life electrical and electronic equipment as secondary metal resources. , 2011, Waste management.

[10]  Joongheon Kim,et al.  Energy-Efficient Dynamic Packet Downloading for Medical IoT Platforms , 2015, IEEE Transactions on Industrial Informatics.

[11]  Anna Fensel,et al.  End-user interfaces for energy-efficient semantically enabled smart homes , 2014 .

[12]  Lixin Gao,et al.  Energy-Aware Tag Anticollision Protocols for RFID Systems , 2007, IEEE Transactions on Mobile Computing.

[13]  Massimo Vecchio,et al.  Improving energy efficiency in IoT with re-configurable virtual objects , 2014, 2014 IEEE World Forum on Internet of Things (WF-IoT).

[14]  Jaafar M. H. Elmirghani,et al.  Virtualization framework for energy efficient IoT networks , 2015, 2015 IEEE 4th International Conference on Cloud Networking (CloudNet).

[15]  Wu He,et al.  Internet of Things in Industries: A Survey , 2014, IEEE Transactions on Industrial Informatics.

[16]  Yu-Chee Tseng,et al.  Energy-efficient sleep scheduling with QoS considerations in 3GPP LTE-advanced networks , 2013, 2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC).

[17]  Joshua R. Smith,et al.  Design of a Passively-Powered, Programmable Sensing Platform for UHF RFID Systems , 2007, 2007 IEEE International Conference on RFID.

[18]  Deborah Estrin,et al.  A first look at traffic on smartphones , 2010, IMC '10.

[19]  R. M. Sidek,et al.  Reduced hardware architecture for energy-efficient IoT healthcare sensor nodes , 2015, 2015 IEEE International Circuits and Systems Symposium (ICSyS).

[20]  Colin McKerracher,et al.  Energy consumption feedback in perspective: integrating Australian data to meta-analyses on in-home displays , 2013 .

[21]  Yu Meng,et al.  Gemini: A green deployment scheme for Internet of things , 2013, 2013 22nd Wireless and Optical Communication Conference.

[22]  Xiaohui Peng,et al.  EPDL: Supporting Context-Based Energy Control Policy Design in IoT-Enabled Smart Buildings: Programing the Physical World with EPDL , 2015, 2015 IEEE International Conference on Data Science and Data Intensive Systems.

[23]  Yang Li,et al.  An energy-efficient heterogeneous dual-core processor for Internet of Things , 2015, 2015 IEEE International Symposium on Circuits and Systems (ISCAS).

[24]  Andrea Castillo O'Sullivan,et al.  Projecting the Growth and Economic Impact of the Internet of Things , 2015 .

[25]  Philip J. Morrow,et al.  Performance evaluation of green data centre management supporting sustainable growth of the internet of things , 2013, Simul. Model. Pract. Theory.

[26]  Laurence T. Yang,et al.  Data Mining for Internet of Things: A Survey , 2014, IEEE Communications Surveys & Tutorials.

[27]  Victor C. M. Leung,et al.  Energy Efficiency as an Orchestration Service for Mobile Internet of Things , 2015, 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom).

[28]  Amr El-Mougy,et al.  An energy-efficient Service Discovery protocol for the IoT based on a multi-tier WSN architecture , 2015, 2015 IEEE 40th Local Computer Networks Conference Workshops (LCN Workshops).

[29]  Alena Buchalcevova,et al.  Green ICT Adoption Survey Focused on ICT Life- cycle from the Consumer's Perspective (SMEs) , 2012 .

[30]  Chi Harold Liu,et al.  Energy-Efficient Location and Activity-Aware On-Demand Mobile Distributed Sensing Platform for Sensing as a Service in IoT Clouds , 2015, IEEE Transactions on Computational Social Systems.

[31]  S. Caizzone,et al.  Passive UHF RFID Antennas for Sensing Applications : , 2014 .

[32]  Intae Ryoo,et al.  A study on medium access control scheme for energy efficiency in wireless smart sensor networks , 2015, 2015 International Conference on Information and Communication Technology Convergence (ICTC).

[33]  Ramjee Prasad,et al.  A cooperative Internet of Things (IoT) for rural healthcare monitoring and control , 2011, 2011 2nd International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology (Wireless VITAE).

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

[35]  Antonio F. Gómez-Skarmeta,et al.  An Integral and Networked Home Automation Solution for Indoor Ambient Intelligence , 2010, IEEE Pervasive Computing.