Most critical and major in growing technology for High Performance of demand of power & energy and an urgent problem in powering technologies. Energy optimization is an enabling power Management. The Consumption of Energy Should be ascertainable not only to Gate Level or Register Transfer (RT) Level but also to the System Level. Reducing the Energy Consumption of system not deviating the overall performance of the system. The compiler optimization will help to reduce power reduction at software level. Power management software level strategy is the code optimization by measuring the difficulties at where we can ge t profitable of investigate optimization criteria to minimization of overall energy consumption. The Energy consumption and run time computed for various compiler techniques on XScale Architecture using XEEMU tool. The optimized code picked out and code is tuned dynamically by varying voltage-frequency. The optimized codes are tuned dynamically. © 2014 IEEE.

Rajasekhara Babu M

School of Computer Science and Engineering

Vellore Campus

Suresh K

Isaac E.E

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Energy-aware system design compiler methods for multiprocessors and Voltage Scaling/frequency

2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)

The Internet of Things (IoT) is a ubiquitous network that interconnects and integrates the devices and cyberspace to enable the smart objects. It lays a platform to collect, process, and to analyse the data for monitoring and controlling the cyber- physical world by using IoT sensor devices. These sensor devices can be wired or wireless that connects to IoT. The wireless devices are battery-operated devices, unlike wired devices. The energy reduction is critical for battery-operated devices. The smart devices need an intelligent transmission that increases the life of the devices. There are difficulties in sensor management with regard to energy reduction by applying the energy-efficient communication energy saved over IoT devices communication. Finally, the low energy aware communication process can enhance device life time in IoT. Least energy aware communication technique is a promising paradigm for IoT is reduced 30% communication overhead. © The Institution of Engineering and Technology 2018.

IET Networks

Low energy aware communication process in IoT using the green computing approach

Internet of things (IoT) has become popular in smart vision of world development. It is more and more complex due to billions of heterogeneous wireless devices communicating each other. Each wireless sensor node or device consumes more energy for its communication. There are various techniques for reduction of this energy such as low energy routing algorithm by using particle swam optimisation (PSO) and advances in heuristic techniques with symbiotic organism search (SOS). But these techniques are inefficient due to direct deployment of sensor nodes in the network without considering the more energy consume when transmitting. This paper proposes an SOS internet of things (SOSIoT) technique that deals and regulates energy factors in IoT efficiently. It is a self-adaptive technique that aims to minimise the energy harvesting in significant manner on IoT. Finally, it presents a comparative result against existing methods on energy consumption factors. The impact of SOSIoT and optimal techniques battery life of smart devices increased up to the 40% to 60%. © 2018 Inderscience Enterprises Ltd.

International Journal of Computer Aided Engineering and Technology

SOSIoT: SOS optimisation to leverage the energy efficient internet of things based on route search optimisation

IoT has become popular in smart vision of world development. It is more and more complex due to billions of heterogeneous wireless devices communicating each other. Each wireless sensor node or device consumes more energy for its communication. There are various techniques for reduction of this energy Minimum Energy Consumption Algorithm(MECA). But these techniques are inefficient due to direct deployment of Sensor nodes in the network without considering the more energy consume when transmitting. EEIoT proposes an Energy Efficient Internet of Things technique that deals and regulates energy factors in IoT efficiently. It is a self-adaptive technique that aims to minimize the energy harvesting in significant manner on Internet of Things. Finally, it presents a comparative result against existing methods on energy consumption factors. © 2016 IEEE.

2016 International Conference on Emerging Technological Trends (ICETT)

EEIoT: Energy efficient mechanism to leverage the Internet of Things (IoT)

Internet of thing is concept and significant in emerging global Internet based wireless paradigm and empowering the Machine view of this present reality and consistent association. Internet of Things (IoT) is envisioned to bring together smart objects connected through Internet and exchange information in efficient communication techniques. Smart objects enabling integration and interconnection of the devices and cyberspace. IoT is a sophisticated technology ,as it is broad inter-disciplinary technology. And hence there arises continuous problem of limited source forcing us to use hand held devices with preserved battery charged smart devices. Energy Efficient Internet of Things(EEIOT) method could change and enable internet of things more encouraged to communicate information to the cyber world in better way.

Journal	Data powered by Typeset2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)
Publisher	Data powered by TypesetIEEE
Open Access	No