In Mobile Ad hoc Networks (MANET), most of the existing works does not consider energy efficiency during selecting the appropriate route. Hence in MANET selecting the appropriate route and also maintaining energy efficiency is very important. Hence in order to overcome these issues, in this study we propose Channel Based Adaptive Rate Control technique for MANET. Here the most appropriate links...

In this paper, using a polynomial transformation technique, we derive a mathematical model for dual-rate systems. Based on this model, we use a stochastic gradient algorithm to estimate unknown parameters directly from the dual-rate input-output data, and then establish an adaptive control algorithm for dual-rate systems. We prove that the parameter estimation error converges to zero under pers...

Abstract The adaptation of mutation rate parameter values is important to allow the search process to optimize its performance during run time. In addition it frees the user of the need to make non-trivial decisions beforehand. Contrary to real vector coded genotypes, for discrete genotypes most users still prefer to use a fixed mutation rate. Here we propose two simple adaptive mutation rate c...

We propose two rate control schemes for multi-antenna multicast in OFDM systems, which aim to maximize the minimum average rate over all users in a multicast group. In our system, we do not require all multicast users to successfully recover the signals received on each subcarrier. In contrast, we allow certain loss for multicast users, such that the multicast transmission rate can be increased...

In this paper, we present results of a study of the data rate fairness among nodes within a LoRaWAN cell. Since LoRa/LoRaWAN supports various data rates, we firstly derive the fairest ratios of deploying each data rate within a cell for a fair collision probability. LoRa/LoRaWAN, like other frequency modulation based radio interfaces, exhibits the capture effect in which only the stronger signa...

In this paper, we propose an adaptive congestion controller for the ow regulation of the best-eeort (ABR) traac in ATM switching networks. The controller can regulate the source rate based on the knowledge of the buuer occupancy and the total number of virtual connections accepted through the congested node. Condition for stability in terms of buuer occupancy is derived, and simulations are car...

Wireless data sharing is the term that facilitates effective and ubiquitous wireless access and affordable mobile devices, so much of the internet applications are assessed in this context. For doing this facilitate effectively traditionally so much of techniques were introduced in recent application development process. Increase of the mobile devices network applications in streaming of this a...

We propose a novel algorithm for adaptive learning rate control for Gaussian mixture models of the NGPCA type. The core idea is to introduce a unit–specific learning rate which is adjusted automatically depending on the match between the local principal component analysis of each unit (interpreted as Gaussian distribution) and the empirical distribution within the unit’s data partition. In cont...

Abstract. Adaptive inverse control of linear system with fixed learning rate least mean square (LMS) algorithm is improved by varying the learning rate. This variable learning rate LMS algorithm is proved to be convergent by using Lyapunov method. It has better performance especially when there is noise in command input signal. And it is simpler than the Variable Step-size Normalized LMS algori...

In the context of multiple hypothesis testing, the proportion π0 of true null hypotheses in the pool of hypotheses to test often plays a crucial role, although it is generally unknown a priori. A testing procedure using an implicit or explicit estimate of this quantity in order to improve its efficency is called adaptive. In this paper, we focus on the issue of false discovery rate (FDR) contro...