Improving energy efficiency in a wireless sensor network by combining cooperative MIMO with data aggregation

In wireless sensor networks where nodes are powered by batteries, it is critical to prolong the network lifetime by minimizing the energy consumption of each node. In this paper, the cooperative multiple-input-multiple-output (MIMO) and data-aggregation techniques are jointly adopted to reduce the energy consumption per bit in wireless sensor networks by reducing the amount of data for transmission and better using network resources through cooperative communication. For this purpose, we derive a new energy model that considers the correlation between data generated by nodes and the distance between them for a cluster-based sensor network by employing the combined techniques. Using this model, the effect of the cluster size on the average energy consumption per node can be analyzed. It is shown that the energy efficiency of the network can significantly be enhanced in cooperative MIMO systems with data aggregation, compared with either cooperative MIMO systems without data aggregation or data-aggregation systems without cooperative MIMO, if sensor nodes are properly clusterized. Both centralized and distributed data-aggregation schemes for the cooperating nodes to exchange and compress their data are also proposed and appraised, which lead to diverse impacts of data correlation on the energy performance of the integrated cooperative MIMO and data-aggregation systems.

Optimizing storage and memory systems for energy and performance

Electrical energy is an essential resource for the modern world. Unfortunately, its price has almost doubled in the last decade. Furthermore, energy production is also currently one of the primary sources of pollution. These concerns are becoming more important in data-centers. As more computational power is required to serve hundreds of millions of users, bigger data-centers are becoming necessary. This results in higher electrical energy consumption. Of all the energy used in data-centers, including power distribution units, lights, and cooling, computer hardware consumes as much as 80%. Consequently, there is opportunity to make data-centers more energy efficient by designing systems with lower energy footprint. Consuming less energy is critical not only in data-centers. It is also important in mobile devices where battery-based energy is a scarce resource. Reducing the energy consumption of these devices will allow them to last longer and re-charge less frequently. Saving energy in computer systems is a challenging problem. Improving a system's energy efficiency usually comes at the cost of compromises in other areas such as performance or reliability. In the case of secondary storage, for example, spinning-down the disks to save energy can incur high latencies if they are accessed while in this state. The challenge is to be able to increase the energy efficiency while keeping the system as reliable and responsive as before. This thesis tackles the problem of improving energy efficiency in existing systems while reducing the impact on performance. First, we propose a new technique to achieve fine grained energy proportionality in multi-disk systems; Second, we design and implement an energy-efficient cache system using flash memory that increases disk idleness to save energy; Finally, we identify and explore solutions for the page fetch-before-update problem in caching systems that can: (a) control better I/O traffic to secondary storage and (b) provide critical performance improvement for energy efficient systems.

Deployment of a Hybrid Multicast Switch in Energy-Aware Data Center Network: A Case of Fat-Tree Topology

Recently, energy efficiency or green IT has become a hot issue for many IT infrastructures as they attempt to utilize energy-efficient strategies in their enterprise IT systems in order to minimize operational costs. Networking devices are shared resources connecting important IT infrastructures, especially in a data center network they are always operated 24/7 which consume a huge amount of energy, and it has been obviously shown that this energy consumption is largely independent of the traffic through the devices. As a result, power consumption in networking devices is becoming more and more a critical problem, which is of interest for both research community and general public. Multicast benefits group communications in saving link bandwidth and improving application throughput, both of which are important for green data center. In this paper, we study the deployment strategy of multicast switches in hybrid mode in energy-aware data center network: a case of famous fat-tree topology. The objective is to find the best location to deploy multicast switch not only to achieve optimal bandwidth utilization but also to minimize power consumption. We show that it is possible to easily achieve nearly 50% of energy consumption after applying our proposed algorithm.

Proposta arquitetônica para o Centro de Treinamento dos Servidores do IFRN com base nos fatores de desempenho energético.

In recent years, as part of the expansion process of its activities, the Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte – IFRN (Federal Institute for Education, Science and Technology of the State of Rio Grande do Norte – IFRN) detected the need to hire more employees for the institution. This expansion process, a policy of the Federal Government, together with the increase of human resources, required the construction of an adequate facility in the municipality of São Gonçalo do Amarante-RN, for training and qualification and as a means of better enabling its personnel. Along with this policy, the Federal Government is also deeply concerned that its buildings be environmentally friendly. This study deals with this subject matter, as it develops an architectural design of a public building with an emphasis upon the reduction of energy consumption, through the study of energy performance factors such as defined by Carneiro (1988) and adapted by the author of the present study. It is known that residential, commercial and public buildings represent about 45 % of energy consumption in Brazil. That is why it is necessary to consider the reduction of such consumption in buildings, as well as the role that professionals, especially architects, play in this issue. The most effective participation in this regard in the field of architecture occurs in the design phase. However, the architectural solution proposed here goes beyond the energy performance factors, since it also involves other aspects, such as the definition of the concept, the parti and the spatial solution itself. In this sense, the architectural project of the Centro de Treinamento dos Servidores do IFRN - CTSIFRN (Training Center for IFRN Personnel – CTSFIRN) is particularly fitting as a subject for research at the Professional Master Program at PPGAU/UFRN, which is devoted to research on architecture, design and the environment.

THE DESIGN OF A POWER SYSTEM FOR A WIRELESS SENSOR NETWORK FOR LONG-TERM OPERATION

Wireless sensor networks (WSNs) have shown wide applicability to many fields including monitoring of environmental, civil, and industrial settings. WSNs however are resource constrained by many competing factors that span their hardware, software, and networking. One of the central resource constrains is the charge consumption of WSN nodes. With finite energy supplies, low charge consumption is needed to ensure long lifetimes and success of WSNs. This thesis details the design of a power system to support long-term operation of WSNs. The power system’s development occurs in parallel with a custom WSN from the Queen’s MEMS Lab (QML-WSN), with the goal of supporting a 1+ year lifetime without sacrificing functionality. The final power system design utilizes a TPS62740 DC-DC converter with AA alkaline batteries to efficiently supply the nodes while providing battery monitoring functionality and an expansion slot for future development. Testing tools for measuring current draw and charge consumption were created along with analysis and processing software. Through their use charge consumption of the power system was drastically lowered and issues in QML-WSN were identified and resolved including the proper shutdown of accelerometers, and incorrect microcontroller unit (MCU) power pin connection. Controlled current profiling revealed unexpected behaviour of nodes and detailed current-voltage relationships. These relationships were utilized with a lifetime projection model to estimate a lifetime between 521-551 days, depending on the mode of operation. The power system and QML-WSN were tested over a long term trial lasting 272+ days in an industrial testbed to monitor an air compressor pump. Environmental factors were found to influence the behaviour of nodes leading to increased charge consumption, while a node in an office setting was still operating at the conclusion of the trail. This agrees with the lifetime projection and gives a strong indication that a 1+ year lifetime is achievable. Additionally, a light-weight charge consumption model was developed which allows charge consumption information of nodes in a distributed WSN to be monitored. This model was tested in a laboratory setting demonstrating +95% accuracy for high packet reception rate WSNs across varying data rates, battery supply capacities, and runtimes up to full battery depletion.

Utilizing “Big Data” to Improve the Hotel Sector’s Energy Efficiency: Lessons from Recent Economics Research

Hotel chains have access to a treasure trove of “big data” on individual hotels’ monthly electricity and water consumption. Benchmarked comparisons of hotels within a specific chain create the opportunity to cost-effectively improve the environmental performance of specific hotels. This paper describes a simple approach for using such data to achieve the joint goals of reducing operating expenditure and achieving broad sustainability goals. In recent years, energy economists have used such “big data” to generate insights about the energy consumption of the residential, commercial, and industrial sectors. Lessons from these studies are directly applicable for the hotel sector. A hotel’s administrative data provide a “laboratory” for conducting random control trials to establish what works in enhancing hotel energy efficiency.

Hotel Sustainability Benchmarking Index 2016: Energy, Water, and Carbon

Several studies have been undertaken or attempted by industry and academe to address the need for lodging industry carbon benchmarking. However, these studies have focused on normalizing resource use with the goal of rating or comparing all properties based on multivariate regression according to an industry-wide set of variables, with the result that data sets for analysis were limited. This approach is backward, because practical hotel industry benchmarking must first be undertaken within a specific location and segment.1 Therefore, the CHSB study’s goal is to build a representative database providing raw benchmarks as a base for industry comparisons.2 These results are presented in the CHSB2016 Index, through which a user can obtain the range of benchmarks for energy consumption, water consumption, and greenhouse gas emissions for hotels within specific segments and geographic locations.

Parallel Cyclostationarity-Exploiting Algorithm for Energy-Efficient Spectrum Sensing

The evolution of wireless communication systems leads to Dynamic Spectrum Allocation for Cognitive Radio, which requires reliable spectrum sensing techniques. Among the spectrum sensing methods proposed in the literature, those that exploit cyclostationary characteristics of radio signals are particularly suitable for communication environments with low signal-to-noise ratios, or with non-stationary noise. However, such methods have high computational complexity that directly raises the power consumption of devices which often have very stringent low-power requirements. We propose a strategy for cyclostationary spectrum sensing with reduced energy consumption. This strategy is based on the principle that p processors working at slower frequencies consume less power than a single processor for the same execution time. We devise a strict relation between the energy savings and common parallel system metrics. The results of simulations show that our strategy promises very significant savings in actual devices.

Stratégie d'amélioration de la résistance mécanique des zones de connecteurs

Le bois subit une demande croissante comme matériau de construction dans les bâtiments de grandes dimensions. Ses qualités de matériau renouvelable et esthétique le rendent attrayant pour les architectes. Lorsque comparé à des produits fonctionnellement équivalents, il apparait que le bois permet de réduire la consommation d’énergie non-renouvelable. Sa transformation nécessite une quantité d’énergie inférieure que l’acier et le béton. Par ailleurs, par son origine biologique, une structure en bois permet de stocker du carbone biogénique pour la durée de vie du bâtiment. Maintenant permis jusqu’à six étages de hauteur au Canada, les bâtiments de grande taille en bois relèvent des défis de conception. Lors du dimensionnement des structures, les zones des connecteurs sont souvent les points critiques. Effectivement, les contraintes y sont maximales. Les structures peuvent alors apparaitre massives et diminuer l’innovation architecturale. De nouvelles stratégies doivent donc être développées afin d’améliorer la résistance mécanique dans les zones de connecteurs. Différents travaux ont récemment porté sur la création ou l’amélioration de types d’assemblage. Dans cette étude, l’accent est mis sur le renforcement du bois utilisé dans la région de connexion. L’imprégnation a été choisie comme solution de renfort puisque la littérature démontre qu’il est possible d’augmenter la dureté du bois avec cette technique. L’utilisation de cette stratégie de renfort sur l’épinette noire (Picea Mariana (Mill.) BSP) pour une application structurale est l’élément de nouveauté dans cette recherche. À défaut d’effectuer une imprégnation jusqu’au coeur des pièces, l’essence peu perméable de bois employée favorise la création d’une mince couche en surface traitée sans avoir à utiliser une quantité importante de produits chimiques. L’agent d’imprégnation est composé de 1,6 hexanediol diacrylate, de triméthylopropane tricacrylate et d’un oligomère de polyester acrylate. Une deuxième formulation contenant des nanoparticules de SiO2 a permis de vérifier l’effet des nanoparticules sur l’augmentation de la résistance mécanique du bois. Ainsi, dans ce projet, un procédé d’imprégnation vide-pression a servi à modifier un nouveau matériau à base de bois permettant des assemblages plus résistants mécaniquement. Le test de portance locale à l’enfoncement parallèle au fil d’un connecteur de type tige a été réalisé afin de déterminer l’apport du traitement sur le bois utilisé comme élément de connexion. L’effet d’échelle a été observé par la réalisation du test avec trois diamètres de boulons différents (9,525 mm, 12,700 mm et 15,875 mm). En outre, le test a été effectué selon un chargement perpendiculaire au fil pour le boulon de moyen diamètre (12,700 mm). La corrélation d’images numériques a été utilisée comme outil d’analyse de la répartition des contraintes dans le bois. Les résultats ont démontré une portance du bois plus élevée suite au traitement. Par ailleurs, l’efficacité est croissante lorsque le diamètre du boulon diminue. C’est un produit avec une valeur caractéristique de la portance locale parallèle au fil de 79% supérieure qui a été créé dans le cas du test avec le boulon de 9,525 mm. La raideur du bois a subi une augmentation avoisinant les 30%. Suite au traitement, la présence d’une rupture par fissuration est moins fréquente. Les contraintes se distribuent plus largement autour de la région de connexion. Le traitement n’a pas produit d’effet significatif sur la résistance mécanique de l’assemblage dans le cas d’un enfoncement du boulon perpendiculairement au fil du bois. De même, l’effet des nanoparticules en solution n’est pas ressorti significatif. Malgré une pénétration très faible du liquide à l’intérieur du bois, la couche densifiée en surface créée suite au traitement est suffisante pour produire un nouveau matériau plus résistant dans les zones de connexion. Le renfort du bois dans la région des connecteurs doit influencer le dimensionnement des structures de grande taille. Avec des éléments de connexion renforcés, il sera possible d’allonger les portées des poutres, multipliant ainsi les possibilités architecturales. Le renfort pourra aussi permettre de réduire les sections des poutres et d’utiliser une quantité moindre de bois dans un bâtiment. Cela engendrera des coûts de transport et des coûts reliés au temps d’assemblage réduits. De plus, un connecteur plus résistant permettra d’être utilisé en moins grande quantité dans un assemblage. Les coûts d’approvisionnement en éléments métalliques et le temps de pose sur le site pourront être revus à la baisse. Les avantages d’un nouveau matériau à base de bois plus performant utilisé dans les connexions permettront de promouvoir le bois dans les constructions de grande taille et de réduire l’impact environnemental des bâtiments.

Measuring energy footprint of software features

Abstract—With the proliferation of Software systems and the rise of paradigms such the Internet of Things, Cyber- Physical Systems and Smart Cities to name a few, the energy consumed by software applications is emerging as a major concern. Hence, it has become vital that software engineers have a better understanding of the energy consumed by the code they write. At software level, work so far has focused on measuring the energy consumption at function and application level. In this paper, we propose a novel approach to measure energy consumption at a feature level, cross-cutting multiple functions, classes and systems. We argue the importance of such measurement and the new insight it provides to non-traditional stakeholders such as service providers. We then demonstrate, using an experiment, how the measurement can be done with a combination of tools, namely our program slicing tool (PORBS) and energy measurement tool (Jolinar).

Otimização do comportamento térmico de edifícios do tipo LSF

No panorama energético atual, medidas de desenvolvimento sustentável têm uma preponderância cada vez mais significativa e, sendo os edifícios responsáveis por 40% da energia consumida na EU, enquadra-se o desafio de integrar medidas de eficiência energética nos novos edifícios desde a fase de conceção. Sendo que este setor se encontra em contínua expansão, a redução dos consumos passará largamente pela otimização do comportamento térmico dos edifícios e dos sistemas energéticos que os equipam. No presente trabalho estudou-se o papel da inércia térmica na redução das necessidades de energia para climatização de edifícios com o objetivo de identificar estratégias destinadas ao melhoramento do comportamento térmico e desempenho energético de edifícios construídos com recurso à técnica construtiva LSF, caracterizados por uma fraca inércia térmica quando comparados com edifícios em tudo semelhantes mas construídos recorrendo a tecnologias convencionais sem esquecer as questões relacionadas com a respetiva viabilidade económica. Com resultado geral destaca-se desde logo a importância do local onde é mais benéfico adicionar massa térmica (paredes exteriores, cobertura, paredes interiores), assim como a necessidade de utilização de um material com elevada densidade energética e baixo custo. A análise comparativa dos diferentes modelos de edifício simulados com recurso ao software DesignBuilder/EnergyPlus, foi realizada recorrendo a uma metodologia em que cada modelo construtivo é avaliado considerando quatro níveis de isolamento térmico e duas condições de cargas térmicas internas. A análise energética e económica foi realizada tendo como referência um período de 20 anos. O custo das soluções construtivas foi maioritariamente obtido através da ferramenta computacional Gerador de Preços, da Cype, SA©, tendo-se considerado um consumo energético anual constante e igual às necessidades de climatização anuais, assim como taxas de atualização de capital e de inflação do custo da energia constantes. De uma forma geral conclui-se que edifícios do tipo LSF melhorados através da adição criteriosa de massa térmica em determinados elementos construtivos, apresentam necessidades de climatização anuais na maioria dos casos estudados, inferiores àquelas verificadas em edifícios convencionais com inércia térmica média/forte. Conclui-se, também, que o método construtivo LSF se apresenta mais eficaz em termos energéticos e económicos quando comparado com soluções semelhantes construídas com recurso a um método convencional. Na secção seguinte são identificadas as principais conclusões deste trabalho.

Análise de métodos de predição de conforto térmico de habitação em clima quente-úmido com condicionamento passivo

The assessment of building thermal performance is often carried out using HVAC energy consumption data, when available, or thermal comfort variables measurements, for free-running buildings. Both types of data can be determined by monitoring or computer simulation. The assessment based on thermal comfort variables is the most complex because it depends on the determination of the thermal comfort zone. For these reasons, this master thesis explores methods of building thermal performance assessment using variables of thermal comfort simulated by DesignBuilder software. The main objective is to contribute to the development of methods to support architectural decisions during the design process, and energy and sustainable rating systems. The research method consists on selecting thermal comfort methods, modeling them in electronic sheets with output charts developed to optimize the analyses, which are used to assess the simulation results of low cost house configurations. The house models consist in a base case, which are already built, and changes in thermal transmittance, absorptance, and shading. The simulation results are assessed using each thermal comfort method, to identify the sensitivity of them. The final results show the limitations of the methods, the importance of a method that considers thermal radiance and wind speed, and the contribution of the chart proposed

Energy efficiency and climate policy in the management of public spaces: public lighting

Public Lightning is an important part of municipality’s nighttime landscape. Lighting can be used to enhance public safety and security while improving the aesthetic appeal of the surrounding properties but with the current global financial crisis, such lighting systems must also be sustainable. Most climate policy efforts focus on the state and international level, however national governments won’t be able to meet their international commitments without local action. In Portugal, the Public Lighting is responsible for 3% of energy consumption. The problem is that the trend is to increase (about 4-5% per year) which represents very high costs for the municipal authorities. In terms of numbers are analyzed in this thesis 45 of 278 existent in Continental Portugal what represents only 16,2 % of the counties. This where the local authorities in Portugal that had a Sustainable Energy Action Plan (SEAP) that had been accepted and made available in the Covenant of Mayors website until the end of year 2013. It is important that the Covenant of Mayors will increase the local authorities awareness for energy efficiency and especially to public lighting because there is still a long way to go in terms of energy consumption reduction. In future works it would be interesting to see the payback of the EolGreen post in a real scenario due to lack of energy consumption from the grid it would allow to have a pretty high initial investment even with the maintenance that those technologies need.

Balancing Energy and Performance in Dense Linear System Solvers for Hybrid ARM+GPU platforms

The high performance computing community has traditionally focused uniquely on the reduction of execution time, though in the last years, the optimization of energy consumption has become a main issue. A reduction of energy usage without a degradation of performance requires the adoption of energy-efficient hardware platforms accompanied by the development of energy-aware algorithms and computational kernels. The solution of linear systems is a key operation for many scientific and engineering problems. Its relevance has motivated an important amount of work, and consequently, it is possible to find high performance solvers for a wide variety of hardware platforms. In this work, we aim to develop a high performance and energy-efficient linear system solver. In particular, we develop two solvers for a low-power CPU-GPU platform, the NVIDIA Jetson TK1. These solvers implement the Gauss-Huard algorithm yielding an efficient usage of the target hardware as well as an efficient memory access. The experimental evaluation shows that the novel proposal reports important savings in both time and energy-consumption when compared with the state-of-the-art solvers of the platform.