Bayesian Prediction-Based Energy-Saving Algorithm for Embedded Intelligent Terminal


The Internet of Things (IoT) has received an increasing attention in recent times. Embedded intelligent terminal (EIT), an imperative half of IoT, works not only as a sensor however conjointly as a primary processor. Due to the restricted power resource of EIT, it's vital to review how to enhance the efficiency of its power use. To tackle this problem, we tend to propose an energy-saving algorithm, Bayesian idle time prediction (BIP). The basic plan of BIP is to explore historical info and acquire a higher estimation of idle time. During this paper, we provide a theoretical analysis of BIP and compare our method with 3 existing algorithms [weighted idle-time-prediction (IP) algorithm, IP algorithm, and running time fastened threshold in IP algorithm] with respect to energy-saving potential, in addition to system delay under a random number of tasks. Each simulation and field experiment results demonstrate the advantages of our algorithm in energy saving.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Structure-Aware Bayesian Compressive Sensing for Frequency-Hopping Spectrum Estimation With Missing Observations - 2018ABSTRACT:During this Project, we tend to address the matter of spectrum estimation of multiple
PROJECT TITLE :Optimal Bayesian Transfer Learning - 2018ABSTRACT:Transfer learning has recently attracted important research attention, because it simultaneously learns from different supply domains, that have plenty of labeled
PROJECT TITLE :Fast Low-Rank Bayesian Matrix Completion With Hierarchical Gaussian Prior Models - 2018ABSTRACT:The problem of low-rank matrix completion is taken into account in this Project. To use the underlying low-rank structure
PROJECT TITLE :Alternative to Extended Block Sparse Bayesian Learning and Its Relation to Pattern-Coupled Sparse Bayesian Learning - 2018ABSTRACT:We tend to consider the matter of recovering block sparse signals with unknown block
PROJECT TITLE :An Asymmetric Evolutionary Bayesian Coalition Formation Game for Distributed Resource Sharing in a Multi-Cell Device-to-Device Enabled Cellular Network - 2018ABSTRACT:We have a tendency to present a unique game,

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry