Energy efficiency and security are considered as important issues in the design of pervasive wireless networks. Since the nodes in pervasive wireless networks are battery-operated, it becomes essential to develop an energy-efficient method to minimize energy consumption and prolong the network lifetime. This paper presents new energy-efficient and secure clustering based data transmission in pervasive

An IoT-enabled cluster of automobiles provides a rich source of computational resources, in addition to facilitating efficient collaboration with vehicle-to-vehicle and vehicle-to-infrastructure communication. This is enabled by vehicular fog computing where vehicles are used as fog nodes and provide cloud-like services to the Internet of things (IoT) and are further integrated with the traditional

Minimizing the costs of cloud services is important for cloud service providers to grow their business. In cost calculation of cloud services, power consumption cost is a major factor. The variability present in renewable power generation, electricity price, and power demand variates the power utilization expenditures. Due to high computational requests, datacenters consume enormous energy every day

Die-stacked DRAM has emerged as an effective approach to address the memory bandwidth wall as it offers much higher bandwidth than off-chip DRAM. It is typically used along with much larger off-chip DRAM to form a hybrid memory system with sufficient capacity and abundant bandwidth. Lots of research activities have been drawn to exploit the potentials of such memory systems. One of the approaches is

As a clean and renewable energy source, solar energy has the advantages of inexhaustible, pure and pollution-free. Photovoltaic power generation is different from traditional thermal power generation in that it is more susceptible to external environmental factors. In addition, there are a large number of power electronic devices in the entire system. These various factors will bring a significant

The rapid development of urbanization has driven irreversible changes in land use, the Chinese government has adopted ‘the National New-type Urbanization Plan’ focusing on rational utilization of resources, which will be of great significance effect to the sustainability, rational and intensive land use. This article built indicator systems to measure the level of new-type urbanization and the sustainability

In mobile ad hoc network (MANET), battery power is a significant resource for mobile devices. Hence conservation of energy and prolonging the network lifetime must be considered when designing routing protocols. But design of an energy-efficient routing protocol requires various factors of nodes from different layers, such as remaining energy, total traffic load and the number of channel contentions

Sustainable energy efficient networking models are needed to satisfy the increasing demands of the information and communication technologies (ICT) applications like healthcare, smart cities, education, and so on. The futuristic sustainable computing solutions in e-healthcare applications are based on the Internet of Things (IoT) and cloud computing platform, has offered numerous features and real

The most fundamental task of the wireless sensor network (WSN) is to monitor a specified region of interest with sufficient sensor coverage. This task is jeopardized when coverage holes appear after the network's deployment. The emergence of coverage holes is unavoidable for many reasons such as sensor node energy depletion, physical damage, or external attacks. Therefore, it is important to have an

Cloud Computing emerged from Grid Computing empowered with the concept of virtualization. The advantage of switching to a virtual environment is quite beneficial, however in cloud computing there are significant problems pertaining to performance and cost optimization because of various kinds of resource requirement and execution of multiple jobs. Thus the level of performance and criteria of SLA to

Modern processors are, in addition to general purpose cores, equipped with specialized hardware units, such as processor integrated GPUs (iGPUs), which are used in the investigations of this article. An iGPU is directly connected to the cores and provides several benefits, including low cost and energy efficiency. For the execution of scientific applications on iGPUs, the OpenCL framework is a suitable

The use of deep networks in agriculture has increased enormously in the last decade including their use to classify different plant leaf stresses. More recently, a large number of deep learning-based approaches for plant leaf stress identification have been proposed in literature but there are only a few partial efforts to summarize different contributions. Hence, there is a dire need of a detailed

Internet of Things (IoT) as an emerging technology provides interconnections between various objects with three features, i.e., anything, anyplace, and anytime. Due to the high number of objects in the IoT and their proximity to humans, energy efficiency is a fundamental requirement for this technology. In general, paying attention to energy efficiency at various levels of IoT leads to Green IoT (GIoT)

The internet era in general, and information technology in particular, have enabled synthesis between different types of information systems across a company's divisions in ways that were previously impossible. EBA software is usually measured as a single construct, whereas this study has deconstructed the term, EBA software, to provide a comprehensive understanding of its roles from a theoretical

Recurrent or non-recurrent temperature and humidity variations trigger various damages on the inside and outside surfaces of buildings, which eventually leads to poor insulation, additional energy consumption, and expensive repairing plan. Formal thermal inspection by professionals are expensive, often inconclusive and inconvenient for continuous or frequent monitoring. Thermal condition monitoring

Communication among nodes plays an important role in any system's throughput. In some architecture, communication plays a bottleneck which degrades the computation power. However, making a high-performance computational system along with the energy-efficient system is incompatible in many cases. In this paper, we present a routing methodology in an optical networks on chip (O-NoC). The proposed methodology

The scheduling of parallel tasks is a topic that has received a lot of attention in recent years, in particular, due to the development of larger HPC clusters. It is regarded as an interesting problem because when combined with performant hardware, it ensures fast and efficient computing. However, it comes with a cost. The growing number of HPC clusters entails a greater global energy consumption which

Background Unit Commitment (UC) is a complication in the domain of power systems engineering which is integral to the secure, efficient, and economic daily operation of a power system. UC is an optimization problem that aims at scheduling which generating units will be on at what time to meet electricity demand over a given horizon and that horizon it's typically 24–48 hours from now. Objective This

The agricultural information technology management system has a certain role in promoting the development of agriculture. However, there is a lack of persuasive reference on how the incentive mechanism of different agricultural models will affect the development of agricultural technology, or which aspect will be affected. This article aims to study the incentive mechanism of different agricultural

Under the low-carbon environment of economy and society, the real decoupling between economic growth and high carbon emissions is the basis for realizing the sustainable and low-carbon transformation and development of Shandong Province. This paper uses energy consumption as an intermediate variable, according to EKC hypothesis theory and Tapio decoupling indicator theory, by constructing the multiple

Agriculture is an essential source of survival and also accounts for the economic growth of any country. Rapid advancement in precision agriculture has helped agriculture and its ancillary enter into the era of machine learning and big data technologies. The advanced technology would help in the improvement in various dimensions of the agro-sector. The agro science community needs to create its architectural

Safety inspection is an important ways to secure the safe production of coal mining enterprises. A host of scholars to date have focused on studying the safety inspection from the traditional game theory point of view, which is not consistent with the actual situation in terms of the assumptions of “fully rational participants” and “symmetric information”. Furthermore, the long-term dynamic game analysis

Because of the different scales and majors of college construction, the number and quality of the resources of the stadiums in Shaanxi are very different, and the distribution is extremely uneven. The shortage of per capita occupation and the idle and waste of some venues and facilities exist at the same time. The purpose of this article is to analyze and analyze the status and changes of sports resources

While Phase Change Memory (PCM) is gaining popularity in next generation systems compared to conventional DRAM and Flash, write disturbance due to crosstalk remains a significant challenge to PCM performance and reliability. To address this concern we propose a multi-tiered compression (MTC) technique combined with novel encoding that can decrease the probability of write disturbance. MTC compresses

Agriculture is one of the essential commodities to increase food production and economic growth in the world. Food demand is rising day by day as a result of population growth. Existing farming techniques are not suited for increasing food production. To overcome this issue, we use Internet of Things (IoT), which is one of the emerging technologies in the agriculture field. Generally, the IoT devices

With an elevating demand and use of power electronics equipment, green energy and the development of smart grids, power quality disturbance detection and classification holds great importance. It is important not only from the technical point of view but from an economic perspective also. This paper presents a comprehensive review of the work done until now in the field of power quality disturbance

Clustering routing protocols for WSNs have evolved. Indeed, the protocols combine several sensor nodes, and the resultant clusters translate into hierarchical management systems, having integrated the features of different cluster members to the base stations and cluster heads. This study seeks to extend the literature and ensure efficient actions by proposing QoS-based energy-efficient protocols for

The demand for energy has been increasing at an exponential rate thereby increasing the stress on generation by any means. To meet the demand and without affecting the environment renewable energy sources are taking the lead. The abundant renewable sources are solar and wind. The solar radiations depend on climate, intensity and temperature whereas wind conversion system depends on wind speed and radius

With the application of big data in all walks of life, big data thinking is effectively improving the circulation efficiency of agricultural products supply chain by driving management changes in business decision-making and "farmer-supermarket docking" as an innovative mode of agricultural products circulation. Based on the current situation of China's agricultural supermarket supply chain development

Name data networking (NDN) is one of the proposed ICN based future Internet architecture aims to substitute our current TCP/IP based Internet. The recent advancements in technology reduced the cost to connect to the Internet and made it feasible to connect a wide variety of devices that leads to rapid growth in hand-held devices and exponentially increased Internet users. The Internet usage pattern

With the acceleration of urbanization and industrialization, increasingly serious global climate change issues have profoundly affected the survival and development of human beings, and natural, ecological and social systems are facing unprecedented threats and challenges. The purpose of this article is to study urban planning from multiple perspectives and levels, and strive to create a healthy ecologically

Energy harvesting, along with effective storage of the energy, is a very common approach to attain sustainable computing in today’s embedded systems. Employing a hybrid energy storage system (HESS), which constitutes of two or more types of energy storage systems (ESSs), helps to compensate for the weaknesses of one ESS type using the strengths of another type. The capacity of an ESS, and thus that

Modern supercomputers and cloud providers rely on server nodes that are equipped with multiple CPU sockets and general purpose GPUs (GPGPUs) to handle the high demand for intensive computations. These nodes consume much higher power than commodity servers, and integrating them with power capping systems used in modern clusters presents new challenges. In this paper, we propose a new power capping controller

In recent years, sustainable development has become the goal pursued by all mankind. In such an era, the concept of green manufacturing industry has been put forward. While manufacturing industry gains rapid development by taking advantage of this opportunity, it also faces greater competition. Sustainable development is a "double-edged sword" for the manufacturing industry. It not only brings unlimited

Tomato is an important vegetable crop cultivated worldwide coming next only to potato. However, the crop can be damaged due to various diseases. It is important for the farmer to know the type of disease for timely treatment of the crop. It has been observed that leaves are clear indicator of specific diseases. A number of Machine Learning (ML) algorithms and Convolution Neural Network (CNN) models

Agriculture occupies an important position in the economic development, and which is one of the important sources of earning for human beings in many countries. However, a number of challenges are faced by the farmers including different diseases for plants, as having diseases in plants are quite natural. The primary premise in the prevention and treatment of diseases is to correctly identify and judge

Hierarchical Wireless Sensor Networks (WSNs) have got vital application domains in modern era especially in monitoring and tracking of events, and without human intervention. In WSN, sensor nodes are characterized to have short life span due to continuous sensing and consequently the battery drains quickly. Under heavy traffic condition, sensors in close proximity to sink die quickly and initiate energy-hole

Recently, carbon emissions increase apparently in road freight transportation section accompanied with rapidly development of logistics industries in China. However, many published researches used carbon emission calculation model to plan the optimized road transportation route regardless of local regulation-compliant constraints. This study fills this gap by improving carbon emission calculation model

Thermal issues in the cyber part of cyber-physical systems (CPSs) has attracted considerable attention in recent years. Heat generation due to energy consumption results in accelerated thermal damage to the processing units, reducing their lifetime. Fault tolerance contributes to a large fraction of this thermal behavior in CPS since it is implemented using redundant computations. This paper studies

The sustainable development of marine economy involves many factors such as society, economy, resources and environment. It is almost impossible to comprehensively solve all problems in the system in one study. The potential of China's marine resources is huge, and the marine economy has maintained a rapid growth rate, but at the same time as rapid economic growth, there are also problems such as waste

The rapid rise in the cloud service adoption reflects the growth of Cloud Data Centers' (CDCs) number, size, energy consumption and eco-unfriendly carbon footprints. In CDCs, Virtual Machine Consolidation (VMC) plays a significant role in reducing their energy consumption and thereby reducing the carbon footprints. The state-of-the-art VMC heuristics based on First-Fit Decreasing (FFD) and Dominant

In this work, a cognitive Wireless Regional Area Network (WRAN) technology-based sensor network for agricultural monitoring is proposed. In WRAN technology, a Consumer Premise Equipment (CPE) and a base station communicate through incumbent channels opportunistically without causing any harmful interference to incumbent operations. Because CPE in IEEE 802.22 WRAN is considered as a fixed device, CPE

The recent growth of application variety for Energy Harvesting Wireless Sensor Network (EH-WSNs) poses new demands on matching energy consumption of sensors and actuators with energy harvest. High precision sensing—e.g., measuring gas concentration or fine particle matter—offers valuable insight into the environment yet increases program complexity due to dependent deadlines of multiple involved sensing

Smart city construction is an important direction of global urban development, which reflects the bright future of human life. Building smart cities is also a long-term task for China to promote new-type urbanization and healthy urban development. Nowadays, China's new urbanization takes wisdom, intelligence and green ecology as the core theory, and an increasing cities have joined the planning and

Accurate forecasting of reservoir inflow is of great importance in water resources planning and management and it can highly affect decisions and policies of reservoir operation with respect to flood control, drought management, water supply, and hydropower generation. In this study, different models of static and dynamic artificial neural networks (ANN) including static feed forward neural network

In this paper, the panel data of 50 listed Chinese petroleum companies from 2009 to 2018 were used. A three-stage Data Envelopment Analysis (DEA) model was used to eliminate environmental factors and random factors, Pearson Epsilon-based Measure (PEBM) distance function and the Malmquist index were combined to evaluate the change of total factor productivity, then Support Vector Regression (SVR) prediction

With the gradual warming of the global climate, the development of low-carbon buildings has become an inevitable trend, and research on the carbon emissions of buildings is also imperative. At present, in most studies on energy management of carbon emissions during the construction process, people cannot analyze them with a more accurate method. In order to find an effective carbon emission analysis

In recent years, a rapid development of China’s new energy vehicles (NEV) has brought great influence to China's energy security and sustainable development. An important reference from energy security and sustainable development in other countries has been used to analyze the resistance and motivation of NEV’s marketing in China. To achieve simultaneous growth of the global sale and market share of

The integration of high-proportion new energy into regional power grid can decrease the damping of the power grid and weaken the voltage supporting capacity, which is likely to improve the wind curtailment rate and the light abandoning rate.This paper focuses on the optimal operatioin of CSP station in regional power grid with high permeability of new energy. With the optimization goal of maximizing

High Performance Computing (HPC) platforms like blade servers consist of multiple processor chips, which may be multicore CPUs, GPUs, memory modules and other subsystems. In such memory and computation intensive systems one-to-many traffic patterns originate from cache coherency, system-level synchronization mechanisms and other control signals. However, small portions of such traffic can introduce

This paper has proposed an integrated healthcare monitoring solution for the soldiers deployed in adverse environmental conditions, using the internet of things (IoT) with distributed computing. For these soldiers, the health parameters of every individual need to be monitored on a real-time basis and subsequent analysis of the dataset to be made for initiating appropriate medical support with the

This paper formulates a new multi-objective virtual machine placement (VMP) problem, which is a challenging task in cloud datacenters (DCs). In cloud environment, there are two stakeholders, namely, users and providers. Both sides try to take more benefit whereas a trade-off between conflicting benefits is crucial. From providers’ perspective, power consumption and resource wastage are two objectives

Energy efficiency is considered as a crucial objective in cloud data centers as it reduces cost and meets the standard set in green computing. Task scheduling an important problem becomes more complex and critical under energy efficiency consideration. Key issues in recent research on energy efficient task scheduling are execution overhead and scalability. Machine learning has been widely employed

Background The severity of diseases and threats found in different crop varieties is one of the primary causes of degradation in the agricultural economy. Early detection and disease diagnosis in crops will facilitate farmers to improve their livelihood and mankind. Objective This study aimed to develop method for disease identification in several seasonal crops during their early stages using deep

Maintenance of green infrastructure requires persistent monitoring of soil water content, electrical conductivity (EC), temperature and relative humidity (RH). There is need to create relation among these parameters to deduce soil water content as to limit cost of introducing sensors. The present investigation means to measure the progression of these four parameters in a green infrastructure site