A Survey On Energy Efficiency And Energy Management In Mobile Sensing Applications And Devices

Document Type : Primary Research paper

Authors

1 Research Scholar, Dept. of Computer Science Ramakrishna college of Arts and Science Coimbatore, India

2 Professor and Head, Dept. of Information Technology Ramakrishna college of Arts and Science Coimbatore, India

Abstract

With fast development of mobile and wireless devices in world, energy efficiency of devices became one of the important issues among devices. Amidst many applications such as green technology, energy saving methods, a new problem is arising with energy management in mobile sensing devices. Energy sensing applications in different modes such as active/sleep modes, transmission of signal in need etc. did not give a good solution to those devices. In this the problems are with various research papers and a survey for energy saving in mobile sensing applications is produced. The Key challenge is, minimizing the energy that is consumed by mobile sensing application, due to increase of latest versions with powerful sensors, wi-fi, light sensors etc. Mobile sensing devices could provide a large number of applications with various survey as different technology and methods. The computing implementations are classified into two categories such as community monitoring and personal sensing applications. Many categories of mobile sensing are based on both, but the major problem facing by the mobile sensing application is energy efficiency. The widespread use of smartphones, wearables, and Internet of Things (IoT) devices has already transformed many aspects of our daily lives, enabling ubiquitously connected machine-to-machine communication, machine-to-human communication, and human-to-human communication, paving the way for the realisation of smarter environments in our homes and across the domains of medical care and transportation, energy grids, industry automation, and defence. This article examines the state of the art in energy management solutions for mobile and Internet of Things devices, with the goal of maximising performance and quality-of-service while working within the various resource limitations imposed by these devices.