Life-cycle assessment of an intelligent lighting system using a distributed wireless Mote network

Dubberley, M.; Agogino, Alice M.; Horvath, A.

doi:10.1109/isee.2004.1299700

Cited by 6 publications

(7 citation statements)

References 2 publications

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“…Published environmental assessments of WSN are scarce (Dubberley et al, 2004;Lelah et al, 2011;Loerincik, 2006). Compared to larger infrastructures like telecommunication networks, WSN are however more straightforward to analyse.…”

Section: The Case Of Wireless Sensor Networkmentioning

confidence: 99%

“…something known by sense perception" (Akyildiz et al, 2002). WSN have been used for applications such as wild nature monitoring (Biagioni and Bridges, 2002), and for optimization in domains such as city services (Lelah et al, 2010;Loerincik, 2006), agriculture (Beucker et al, 2008), household (Dubberley et al, 2004) and manufacturing (Kara et al, 2011). Like other ICT, WSN induce both positive and negative impacts that need to be clarified.…”

Section: Introductionmentioning

confidence: 99%

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An environmental assessment method for wireless sensor networks

Bonvoisin

Mathieux

et al. 2012

Journal of Cleaner Production

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Section: The Case Of Wireless Sensor Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An environmental assessment method for wireless sensor networks

Bonvoisin

Mathieux

et al. 2012

Journal of Cleaner Production

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“…Considering PSS, Tasaki et al (2006) compared leasing to conventional reuse of electronic and electric equipment, clarifying the conditions by which leasing would use less materials. Generally, LCA is considered a good tool to evaluate environmental impacts for products or systems (Dubberley et al, 2004;Pennington et al, 2004). Authors had already used LCA for ICT services, however most work used only one environmental criterion such as energy consumption (Taiariol et al, 2001;Moberg et al, 2010) or global warming potential (Loerincik et al, 2003;Takahashi et al, 2004).…”

Section: Lca and Ictmentioning

confidence: 99%

“…Authors had already used LCA for ICT services, however most work used only one environmental criterion such as energy consumption (Taiariol et al, 2001;Moberg et al, 2010) or global warming potential (Loerincik et al, 2003;Takahashi et al, 2004). Dubberley et al (2004) adopted a multi-criteria approach on an intelligent lighting service showing lesser impact than the conventional system for nine environmental impact categories. Loerincik et al (2003) proposed to use the input-output method for ICT services.…”

Section: Lca and Ictmentioning

confidence: 99%

Contributions to eco-design of machine-to-machine product service systems: the example of waste glass collection

Mathieux

Brissaud

2011

Journal of Cleaner Production

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International audienceEfficient waste management is necessary in order to face up to increasing quantities of waste generated in modern societies. A technical solution using a Machine-to-Machine (M2M) enhanced Product-Service System (PSS) for bring-in waste glass collection is identified. Methodology based on Life Cycle Analysis (LCA) is proposed. The results help understand the mechanisms of M2M PSS. Possible improvements are explored and the study shows how the PSS infrastructure impacts the environment. It examines the influence of major organisational parameters and contributes to eco-design and dimensioning of the M2M PSS. It reveals the interest of mutualisation to reduce environmental impacts and shows the importance of limiting data exchanges. It argues for the use of multi-criteria LCA on the complete system including the telecom infrastructures and employs realistic use scenarios derived from field studies

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“…The scope of the applications has also greatly expanded, and it ranges from environmental monitoring [9,10], water pollution monitoring [11], nuclear power plant monitoring [12], radiation detection [13], bridge safety [14], building control [15], animal tracking and control [16], ocean-related disaster management [17] and others.…”

Section: Introductionmentioning

confidence: 99%

Wide-area long-range unidirectional sensor (WALRUS) network

Vannucci¹,

Leigh²,

Katz³

IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 2005.

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Networks consisting of low-cost wireless sensors have been the subject of extensive research, with applications ranging from environmental monitoring to building control systems, to name a few. In this paper we consider networks intended to provide wide area coverage of one or more physical, chemical, or biological parameters. We envision a target average data rate per sensor of 1-5 bps and transmission ranges of up to 100 m. Unlike conventional networks, the goal of wide-area parameter characterization can be achieved even with less than 100% node reliability, a feature that allows us to propose a novel ultra-low-cost architecture based on redundant sensors. To achieve the low-cost goal, sensor nodes include no receivers, and they transmit their information to a central reader using radio backscatter. This communication modality makes it possible to achieve a few years of battery life with small and inexpensive batteries. Performance impact due to absence of individual reception acknowledgement in this unidirectional communication channel is offset mainly by transmitter spatial diversity achieved through deployment of additional nodes. We describe the design of the system and its components, and analyze its performance characteristics.

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Life-cycle assessment of an intelligent lighting system using a distributed wireless Mote network

Cited by 6 publications

References 2 publications

An environmental assessment method for wireless sensor networks

An environmental assessment method for wireless sensor networks

Contributions to eco-design of machine-to-machine product service systems: the example of waste glass collection

Wide-area long-range unidirectional sensor (WALRUS) network

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