This paper implements a learn rate schedule mechanism and hybrid learn rate schedule mechanism like piecewise, exponential decay, polynomial time, reciprocal time and cosine annealing decay as adaptive learning rate mechanisms for DL models and optimizers like Adadelta, Adam, RMSprop and Stochastic Gradient Descent with Momentum (SGDM) to improve the accuracy of Received Signal Strength Indicator (RSSI)-based localization in LoRaWAN (Long Range Wide Area Networks) based Internet of Things (IoT) networks.
May 1, 2024
A mathematical formula is devised to optimize latency and bandwidth, subject to constraints during message passing down the logical tree. Pseudo code and algorithms on message transmission by a publisher and various other cases, such as subscriber management and changing the cluster head, are discussed. A diverse set of example cases are presented that can use multiple multicast for XMPP-based applications. The basic version of this work was presented in INCET 2022 Conference.
May 1, 2023
a novel architecture to extend XMPP for multiple multicast has been proposed to cater multiple multicast in a publish subscribe network.
Sep 1, 2022