In cloud computing, high energy consumption and service-level agreements (SLAs) violation are the challenging issues considering that demand for computational power is growing rapidly, thereby requiring large-scale data centers. Although, there many existing energy-aware approaches focusing on minimizing while ignoring SLA at time of a virtual machine (VM) selection from overloaded hosts. Also, they do not consider current network traffic causes performance degradation thus may really reduce...

Vehicular Fog Computing (VFC) provides solutions to relieves overload cloudlet nodes, reduces service latency during peak times, and saves energy for battery-powered nodes by offloading user tasks a vehicle (vehicular node) exploiting the under-utilized computation resources of nearby vehicular node. However, wide deployment VFC still confronts several critical challenges: lack energy-latency tradeoff efficient resource allocation mechanisms. In this paper, we address challenges provide an...

With the wide application of Internet-of-Medical-Things (IoMTs) or sensor nodes which equipped with sensors. These networked sensors are used to gather enormous data from different smart healthcare applications, and this collected process for making appropriate decisions. Edge computing is an efficient platform that provides computational resources collect data. In meantime, intelligent accurate resource management by Artificial Intelligence (AI) has become center attention, especially in...

Most of the research in energy efficient data gathering centric applications wireless sensor networks is motivated by LEACH scheme which allowing rotation clusterhead role among nodes tries to distribute consumption over network. Selection node for such rotations greatly affects efficiency Hence many proposals are reported literature suggesting different selection strategies. However, till now, these strategies have not been talked about their collective understanding. So, efforts made, this...

Wireless sensor networks gain ample interest because of their wide range applications. Efficient energy consumption nodes is the prime design issue for these networks. Clustering approaches prolong network lifetime with load balanced network. To achieve balancing clustering algorithm rotate role cluster head among so, selection process pivotal algorithms. Work this paper presents a genetic based centralized algorithms to have better than traditional algorithm. Simulation shows that proposed...

Clustering algorithms are considered as energy-efficient approach for resource-constraint wireless sensor networks. Traditional clustering have uneven clusters that make network load unbalanced. In this paper, a is proposed to address problem and it provides balanced by considering thresholds cluster formation. Simulation results show solution can offer better lifetime with reduction in node death rate when compared the traditional approaches.

Data-driven industrial manufacturing services are proliferating. They use large amounts of data generated from Industrial-Internet-of-Things (IIoT) devices for intelligent to end-service-users. However, cloud centers hosting these consume a huge amount energy, resulting in high operational cost. To address this issue, an energy-efficient resource allocation framework is proposed article services. It operates two phases. First, multithreshold-based host CPU utilization classification scheme...

Efficient edge server placement techniques select optimal locations for servers to improve network and energy performance. However, without prior knowledge of users' resource demands, the possibilities location these within a are vast, which is challenging problem. On other hand, most existing ignore influence user mobility on user's resources demand, violation low-latency, high consumption 5G networks. Therefore, this article addresses problem using traffic estimate demands. We first use...

Nowadays, video streaming is very popular around the world, users use to watch online movies, education, and do office work. Video referred as transmission of content, live or recorded from server/cloud end-users. music files are prearranged transmitted in sequential packets data so they can be streamed instantaneously, only User required a high-speed network for access, subscription via an application. In this paper, we survey analyze previous development such 2D, 3D streaming, compression...

The rapid development of Internet Vehicles (IoV) and Mobile Edge Computing (MEC) enables vehicles to offload their applications Roadside Units (RSU). However, without knowledge vehicles' future locations, wireless connections between RSUs are too vulnerable finish offloading processes. Most existing methods allocate computation tasks statically, ignoring latency task reception processing in real IoV environments. Moreover, multiple services running on limit the availability resources for...

The energy consumption of data centers has been increasing continuously during the last years due to rising demands computational power especially in current Grid- and Cloud Computing systems, which directly influence increment operational costs as well carbon dioxide (CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> ) emission. To reduce within cloud center, it required energy-aware virtual machines (VMs) selection algorithms for VM...

Mobile cloud computing (MCC) provides various services to mobile users. The rapid growth of MCC users requires large-scale data centers provide them with processing and storage services. these directly impacts electrical energy consumption, which affects businesses as well the environment through carbon dioxide (CO 2 ) emissions. Moreover, large amount is wasted maintain servers running during low workload. To reduce consumption centers, energy-aware host overload detection algorithm virtual...

The popularity of the Internet has brought rapid development artificial intelligence, affective computing, things (IoT), and other technologies. Particularly, IoT provides more references for realization smart home. However, when people have achieved a certain amount material satisfaction, they are likely to want communicate emotionally. Music contains lot emotion information. data is an important communication way between better convey emotions. Therefore, it become one most convenient...

In 5G IoT for consumer electronics security recommendation systems, Machine Learning (ML) based Federated (FL) methods plays an important the detection of cyberattacks. For this objective, several different models effective feature selection and systems are presented in literature. However, prone to misclassify Internet Things (IoT) malicious traffic due inappropriate system. To address issue, paper, firstly, Automatic Data set Generator (ADG) method is proposed then designed ADG algorithm...

In this work, we are implementing FIR Gaussian low pass filter using DSP slice available in 28nm Kintex-7 FPGA. order to make energy efficient filter, capacitance scaling. During scaling, observe that there is no change clock power, logic signal power and power. But, significant reduction IOs leakage total of on There approx 44.74% when operating frequency 5GHz, 50GHz, 500GHz 1THz scaled down from 25pF 5pF. 87.65% 5GHz. 99.51%