Building service-oriented Smart Infrastructures over Wireless Ad Hoc Sensor Networks: A middleware perspective

Familiar, Miguel S.; Martínez, José F.; Corredor, Iván; Garcia-Rubio, Carlos

doi:10.1016/j.comnet.2011.12.005

Cited by 25 publications

(13 citation statements)

References 41 publications

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“…The intended audience is policy makers and research managers in the textile industry. Many variations in the studied recycling techniques could be proposed, so we perform a cornerstone analysis (Familiar et al ) to examine the possible spread of LCA outcomes. The potential environmental advantages of a combination of the textile recycling techniques are also evaluated by examining the treatment of 1 tonne of textile waste.…”

Section: Goal and Scope Definitionmentioning

confidence: 99%

A Carbon Footprint of Textile Recycling: A Case Study in Sweden

Zamani¹,

Svanström

Peters

et al. 2014

J of Industrial Ecology

115

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Summary Global population growth and rising living standards are increasing apparel consumption. Consequently, consumption of resources and generation of textile waste are increasing. According to the Swedish Environmental Protection Agency, textile consumption increased by 40% between the years 2000 and 2009 in Sweden. Given that there is currently no textile recycling plant in Sweden, the aim of this article is to explore the potential environmental benefits of various textile recycling techniques and thereby direct textile waste management strategies toward more sustainable options. Three different recycling techniques for a model waste consisting of 50% cotton and 50% polyester were identified and a life cycle assessment (LCA) was made to assess the environmental performance of them. The recycling processes are: material reuse of textile waste of adequate quality; separation of cellulose from polyester using N‐methylmorpholine‐N‐oxide as a solvent; and chemical recycling of polyester. These are compared to incineration, representing conventional textile waste treatment in Sweden. The results show that incineration has the highest global warming potential and primary energy usage. The material reuse process exhibits the best performance of the studied systems, with savings of 8 tonnes of carbon dioxide equivalents (CO2‐eq) and 164 gigajoules (GJ) of primary energy per tonne of textile waste. Sensitivity analyses showed that results are particularly sensitive to the considered yields of the processes and to the choice of replaced products. An integration of these recycling technologies for optimal usage of their different features for treatment of 1 tonne of textile waste shows that 10 tonnes CO2‐eq and 169 GJ of primary energy could be saved.

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Section: Goal and Scope Definitionmentioning

confidence: 99%

A Carbon Footprint of Textile Recycling: A Case Study in Sweden

Zamani¹,

Svanström

Peters

et al. 2014

J of Industrial Ecology

115

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“…Since all subsystems work together in a building, the sharing of information between subsystems is critical (Jiang et al, 2009). Therefore the key requirement for consistent and efficient monitoring in a smart building is that all sensors be addressable over a communication network (Schor et al, 2009), since such a network supports the efficient collection of sensed information and its dissemination to consumer devices (Familiar et al, 2012 (LEED, 2008) in the US, but they basically focus on the many sustainability issues (Ding, 2008). Smartness can be considered to be part of the sustainability effort, but requires specialized evaluation.…”

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confidence: 99%

Assessing the smartness of buildings

2015

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The concept of "smart" building has risen up in the last few decades. Awareness of the importance of developing smart buildings is increasing. Higher competitive pressures force owners and developers to design and construct buildings that can be considered smart in terms of energy efficiency, occupant comfort, development and operating costs. Furthermore the adaptation to climate change is emerging as one of the main requirements for buildings in satisfying environmental performance (Love and Bullend, 2009), hence promoting "smart" solutions. Also, the concept of smart is an important part of the sustainability movement. Indeed, a green building incorporates building plans for least energy consumption and minimum life-cycle costs, in addition to objectives such as minimum environmental impact, the production, transportation and use of sustainable materials, minimum waste, and minimum maintenance (Tsai et al., 2014). The concept of smart is receiving a great of attention worldwide not only in relation of the sustainability issue, but also because it makes use of interconnected technologies and because it generates a high level of comfort for the occupants (GhaffarianHoseini et al., 2013).Owners and developers seek to achieve and document high performance buildings in order to gain competitive advantage; designers are promoting their services based on the performance of their projects; and tenants and occupants are interested in their buildings' performance (Jarvis, 2009). Smart buildings involve the usage of design solutions, technology and processes to develop facilities that are comfortable and safe for their occupants while at the same time economical for their owners (Katz and Skopek, 2009). The adjective "intelligent" has been often used instead of "smart" (Wong and Li, 2009). Smart buildings create an environment that maximizes the efficiency of building services, ensuring effective resource management with minimum lite-cycle costs (Perumal et al., 2010). This objective is reached since these buildings "decide" the most efficient way to provide with an appropriate environment for its occupants (Loveday et al., 1997). In particular the deployment of ICT solutions for home automation, heating and cooling and facility management allows for more productive and cost effective ownership (So et al., 1999), such as through users comfort solutions and the optimization of energy consumption (Nguyen and Aiello, 2013).The goal is to achieve the optimal combination of comfort and energy consumption , and therefore improve the performance of the building. The complexity of buildings is more and more increasing, thus an integrated system to monitor buildings functionalities, such as energy consumption, is required (Marinakis et al., 2013). However passive aspects too, appear to be crucial for the enhancement of smartness as demonstrated by Ochoa and Capeluto (2008). The Smartness is considered in all the phases of a construction project, including design, construction, and operation. Many definitions of "smart" are cited i...

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“…Additionally, these were contrasted with some of the most remarkable state-ofthe-art approaches in this field in Tables 3.1 and 3.2, respectively. As main conclusion of these conducted analyses, and in our best knowledge, most existing SOA approaches based on sensor network technology for service provisioning do not address the design of heterogeneous pervasive smart ecosystems in a global way [98,99]. To accomplish this issue, several emerging research approaches have been considered for pervasive computing with sensor networks in our contribution.…”

Section: Problem Statementmentioning

confidence: 99%

“…As previously introduced, this contribution defines a reference model for developing Service-Oriented Architectures over reduced functionality and sensor-based devices focusing on the design requirements summarized in previous sections. As a reference framework, a common model for service-oriented computation in heterogeneous smart environments is provided, extending our previous research work [98]. This proposal, which is illustrated in Figure 4.1 by using Unified Modelling Language (UML) notation, determines how the practical software architecture is structured and which functional aspects have to be defined in each subsystem, as well as the explicit interrelations that have to be fulfilled between them.…”

Section: Formalization Of the Service-oriented Frameworkmentioning

confidence: 99%

“…The foundations of the Service-Oriented Middleware Platform in the nSOM contribution have been defined to address the design requirements previously justified, according to our previous research works in this area [98,186]. Based on the abstract formalization approach provided in Section 4.2, a concrete formal model according to a UML Component Diagram of the Service-Oriented Middleware Platform is proposed.…”

Section: Middleware Architecturementioning

confidence: 99%

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Service architecting and dynamic composition in pervasive smart ecosystems for the internet of things based on sensor network technology

Familiar

Martínez

Garcia-Rubio

2014

Journal of Ambient Intelligence and Smart Environments

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Why pervasive awareness and Ambient Intelligence are perceived by a great part of the academia and industry as a massive revolution in the short-term? In our best knowledge, a cornerstone of this thought is based on the fact that the ultimate nature of the smart environment paradigm is not in the technology itself, but on a people-centered approach. Perhaps, is in this apparently simple conception where precisely lies the boldness of this promising vision, which has been consolidated in recent years with the emerging proliferation of mobile, personal, portable, wearable and sensory computing: to reach everyone and everywhere. On the one hand, it touches our daily lives in a close manner, minimizing the required attention from the users, anticipating to their needs with the main intention of redefining our idea of Quality of Experience. On the other hand, this new wave impacts everywhere at both global and personal scales allowing expanded connectivity between devices and smart objects, in a dynamic and ubiquitous manner, as a natural extension of the physical world around us.According to the above, this doctoral dissertation focuses on contributing to the integration of software and networking engineering advances in the field of pervasive smart spaces and environment using sensor networks. This is founded on the convergence of some information technology and computer science paradigms, such as service and agent orientation, semantic technologies and knowledge management in the framework of pervasive computing and the Internet of Things. To this end, the nSOM (nano Service-Oriented Middleware) and nSOL (nano Semantics-Oriented Language) approaches are presented. Firstly, the nSOM proposal defines a service-oriented platform for the implementation, deployment and exposure of agentbased in-network services to the Internet cloud on heterogeneous sensor devices. Secondly, the nSOL solution enables an abstraction for supporting ubiquitous service composition based on semantic knowledge management. The integration of both contributions leads to the formal modelling and practical development of adaptive virtual sensor services for pervasive Ambient Intelligence ecosystems. This work includes also the related performance characterization of the resulting prototype according to several metrics such as code size, volatile memory footprint, CPU overhead, service time delay and battery lifetime. Main foundations and outcomes presented in this essay are contextualized in the following European Research Projects: µSWN (FP6 code: IST-034642), DiYSE (ITEA2 code: 08005) and LifeWear (ITEA2 code: 09026).

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Building service-oriented Smart Infrastructures over Wireless Ad Hoc Sensor Networks: A middleware perspective

Cited by 25 publications

References 41 publications

A Carbon Footprint of Textile Recycling: A Case Study in Sweden

A Carbon Footprint of Textile Recycling: A Case Study in Sweden

Assessing the smartness of buildings

Service architecting and dynamic composition in pervasive smart ecosystems for the internet of things based on sensor network technology

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