This paper focuses on analytics of an extremely large dataset smart grid electricity price and load, which is difficult to process with conventional computational models. These data are known as energy big data. The analysis divulges the deeper insights that help experts in improvement grid’s (SG) operations. Processing extracting meaningful information from a challenging task. Electricity load most influential factors market. For improving reliability, control management market operations,...

A smart grid (SG) is a modernized electric that enhances the reliability, efficiency, sustainability, and economics of electricity services. Moreover, it plays vital role in modern energy infrastructure. The core challenge faced by SGs how to efficiently utilize different kinds front-end devices, such as meters power assets, what manner process enormous volume data received from these devices. Furthermore, cloud fog computing provide on-demand resources for computation, which good solution...

ABSTRACT Wireless sensor networks comprise of a large number low cost nodes that have strictly restricted sensing, computation and communication capabilities. In addition to this, limited battery life which is not rechargeable in many applications. Due resource limitations for the nodes, it important use energy efficiently each node. This will result prolonged network lifetime functionality. Energy consumption balancing (ECB) property ensures average dissipation per equal all sensors...

Routing is one of the most important operations in wireless sensor networks (WSNs) as it deals with data delivery to base stations. attacks can cripple easily and degrade operation WSNs significantly. Traditional security mechanisms such cryptography authentication alone cannot cope some routing they come from compromised nodes mostly. Recently, trust mechanism introduced enhance improve cooperation among nodes. In routing, avoids/includes based on estimated value. Many trust-based protocols...

Abstract Trust is an important factor in wireless sensor networks (WSNs) terms of security enhancement and successful collaboration. management (TM) can ensure that all communicating nodes are trustworthy during authentication, authorisation, or key management, which makes traditional services more robust reliable. Moreover, by helping to find reliable nodes, TM improves cooperation among vital for improvement system performance. estimations highly challenging issues because the unique...

Presently, the advancements in electric system, smart meters, and implementation of renewable energy sources (RES) have yielded extensive changes to current power grid. This technological innovation grid enhances generation electricity meet demands industrial, commercial residential sectors. However, industrial sectors are focus its demand-side management (DSM) activities. Neglecting other DSM activities can deteriorate total performance Hence, notion demand response by way sector makes...

The advent of new devices, technology, machine learning techniques, and the availability free large speech corpora results in rapid accurate recognition. In last two decades, extensive research has been initiated by researchers different organizations to experiment with techniques their applications processing systems. There are several command based area robotics, IoT, ubiquitous computing, human-computer interfaces. Various have worked on enhancing efficiency systems used dataset. However,...

Computer-Aided Language Learning (CALL) is growing nowadays because learning new languages essential for communication with people of different linguistic backgrounds. Mispronunciation detection an integral part CALL, which used automatic pointing errors the non-native speaker. In this paper, we investigated mispronunciation Arabic words using deep Convolution Neural Network (CNN). For automated pronunciation error detection, proposed CNN features-based model and extracted features from...

Trust establishment is an important tool to improve cooperation and enhance security in wireless sensor networks. The core of trust estimation. If a estimation method not robust against attack misbehavior, the values produced will be meaningless, system performance degraded. We present novel that on-off attacks persistent malicious behavior. Moreover, order aggregate recommendations securely, we propose using modified one-step M-estimator scheme. novelty proposed scheme arises from combining...

Security techniques like cryptography and authentication can fail to protect a network once node is compromised. Hence, trust establishment continuously monitors evaluates behavior detect malicious compromised nodes. However, just other security schemes, also vulnerable attack. Moreover, nodes might misbehave intelligently trick schemes. Unfortunately, attack-resistance robustness issues with schemes have not received much attention from the research community. Considering vulnerability of...

Small-to-medium scale smart buildings are an important part of the Internet Things (IoT). Wireless Sensor Networks (WSNs) major enabler for control in such environments. Reliability is among key performance requirements many loss-sensitive IoT and WSN applications, while Energy Consumption (EC) remains a primary concern design. Error-prone links, traffic intense limited physical resources make it challenging to meet these service goals-not only that metrics often conflict with one another,...

Network-on-chip (NoC) has appeared to be an impending substitute for the communication paradigm in modern very large scale integration embedded systems. Apart from many design challenges, application mapping on NoC system is one of most intractable and challenging optimization problems. In this paper, we propose a hybrid, branch & bound (BB)-based exact (BEMAP) algorithm, real-time applications architecture. The BEMAP optimizes latency throughput minimizes power consumption under bandwidth...

The proliferation of the Internet Things (IoT) requires to accommodate diverse applications with stringent performance requirements. Delay is one key metrics in IoT, particularly, for domains, such as health care, where critical cases requiring an emergency response frequently occur. In this paper, we analyze data generated using IEEE 802.15.4 standard derive accurate predictive model delay-sensitive applications. A deep neural network (DNN) adopted relationship between communication...

The integration of the smart grid with cloud computing environment promises to develop an improved energy-management system for utility and consumers. New applications services are being developed which generate huge requests be processed in cloud. As grids can dynamically operated according consumer (data), so, they called Data-Driven Smart Grids. Fog as extension helps mitigate load on data centers. This paper presents a cloud–fog-based model reduce Response Time (RT) Processing (PT). from...

Network-on-Chip (NoC) has been unfolded as a superior alternative for integrating considerably greater extent of cores on single chip. Recently, multi-core systems have become prevalent because the increased processing demands high-performance embedded applications. Application mapping techniques play significant role in enhancing extensive performance such complex platforms. Developing and implementing efficient application are required system design to meet demand complicated systems. The...

Maternal healthcare is a critical aspect of public health that focuses on the well-being pregnant women before, during, and after childbirth. It encompasses range services aimed at ensuring optimal both mother developing fetus. During pregnancy in postpartum period, mother’s susceptible to several complications risks, timely detection such risks can play vital role women’s safety. This study proposes an approach predict associated with maternal health. The first step involves utilizing...

With the emergence of smart grid, both consumers and electricity providing companies can benefit from real-time interaction pricing methods. In this work, a power system is considered, where share common energy source. Each consumer equipped with home management controller (HEMC) as scheduler meter. The HEMC keeps updating utility load profile home. meter connected to grid having an advanced metering infrastructure which responsible for two-way communication. Genetic teaching-learning based...

The key concerns to enhance the lifetime of IoT-enabled Underwater Wireless Sensor Networks (IoT-UWSNs) are energy-efficiency and reliable data delivery under constrained resource. Traditional transmission approaches increase communication overhead, which results in congestion affect delivery. Currently, many routing protocols have been proposed for UWSNs ensure conserve node's battery with minimum overhead (by avoiding void holes network). In this paper, adaptive energy-efficient tackle...

Underwater Wireless Sensor Networks (UWSNs) are promising and emerging frameworks having a wide range of applications. The underwater sensor deployment is beneficial; however, some factors limit the performance network, i.e., less reliability, high end-to-end delay maximum energy dissipation. provisioning aforementioned has become challenging task for research community. In UWSNs, battery consumption inevitable direct impact on network. Most time dissipates due to creation void holes...

Softwares are involved in all aspects of healthcare, such as booking appointments to software systems that used for treatment and care patients. Many vendors consultants develop high quality healthcare hospital management systems, medical electronic middle-ware softwares devices. Internet Things (IoT) devices gaining attention facilitate the people with new technology. The health condition patients monitored by IoT using sensors, specifically brain diseases Alzheimer, Parkinson's, Traumatic...

This paper presents a model for optimal energy management under the time-of-use (ToU) and critical peak price (CPP) market in microgrid. The microgrid consists of intermittent dispatchable distributed generators, storage systems, multi-home load demands. problem is challenging task due to inherent stochastic behavior renewable resources. In past, medium-sized resource generation was injected into main grid with no feasible control mechanism prevent waste power generated by which has...