Greenput: A Power-Saving Algorithm That Achieves Maximum Throughput in Wireless Networks - 2018


The dynamic frame sizing algorithm could be a throughput-optimal algorithm that can achieve maximum network throughput while not the information of arrival rates. Motivated by the need for energy-economical Communication in wireless networks, in this Project, we propose a replacement dynamic frame sizing algorithm, referred to as the Greenput algorithm, that takes power allocation into account. In our Greenput algorithm, time is partitioned into frames, and also the frame size of each frame is decided based mostly on the backlogs presented at the beginning of a frame. To get a good delay-energy potency tradeoff, the key insight of our Greenput algorithm is to cut back transmit power to save energy when the backlogs are low so as to not incur too much packet delay. For this, we tend to outline a threshold parameter Tmax (for the minimum time to empty the backlogs with maximum power allocation), and the Greenput algorithm enters the (mixed) power-saving mode when the backlogs are below the threshold. Employing a massive deviation certain, we prove that our Greenput algorithm is still throughput optimal. Plus the stability result, we additionally perform a fluid approximation analysis for energy potency and average packet delay when Tmax is very large. To show the delay-energy efficiency tradeoff, we conduct intensive laptop simulations by using the Shannon formula because the channel model during a wireless network. Our simulation results show that both energy potency and average packet delay are quite shut to their fluid approximations even when Tmax is moderately massive.

Did you like this research project?

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

PROJECT TITLE :Heterogeneous Networks With Power-Domain NOMA: Coverage, Throughput, and Power Allocation Analysis - 2018ABSTRACT:In a heterogeneous cellular network (HetNet), contemplate that a base station within the HetNet is
PROJECT TITLE : Depth Reconstruction From Sparse Samples: Representation, Algorithm, and Sampling - 2015 ABSTRACT: The fast development of 3D technology and computer vision applications has motivated a thrust of methodologies
PROJECT TITLE :Depth Reconstruction From Sparse Samples: Representation, Algorithm, and SamplingABSTRACT:The rapid development of 3D technology and pc vision applications has motivated a thrust of methodologies for depth acquisition
PROJECT TITLE : Video Dissemination over Hybrid Cellular and Ad Hoc Networks - 2014 ABSTRACT: We study the problem of disseminating videos to mobile users by using a hybrid cellular and ad hoc network. In particular, we formulate
PROJECT TITLE : Sleep Scheduling for Geographic Routing in Duty-Cycled Mobile Sensor Network - 2014 ABSTRACT: Recently, the research focus on geographic routing, a promising routing scheme in wireless sensor networks (WSNs),

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

Project Enquiry