Middleware for Smart Environments Management

Anghel, Ionut; Cioara, Tudor; Salomie, Ioan; Dînşoreanu, Mihaela; Rarau, Anca

doi:10.15837/ijccc.2010.2.2470

Cited by 5 publications

(4 citation statements)

References 16 publications

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“…The proposed was illustrated through the use BDI (Believes Desires Intentions) agents that clearly defined the context management problem. A similar study was done in [20] that described a self configuring middleware for managing context acquisition and representation. The domain of interest was smart closed environment.…”

Section: Related Workmentioning

confidence: 96%

Internet of Thing Context Awareness Model

Ntalasha¹,

Li²,

Wang³

2016

EAI Endorsed Transactions on Context-aware Systems and Applicat

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This paper aims to address key concept of context awareness in the Internet of Things (IoT) domain by providing a model that proactively monitors behaviour of devices and services. This concept represents context into two types of information representation, namely set based and markup based ontology for the purpose of defining a context awareness model that accurately represent context in IoT. The context model is defined using Resources, Actors, Ambients and Policies. The model adds value to the next stage of IoT evolution by using context ambients to bring about predictive and proactive modelling in understanding context and context awareness. IoT context is represented using the hierarchical hybrid context model. This model provides a method of representing contexts based on context quality and availability in an entity relation hierarchy form. The model is exemplified using the context management application based on agents. Experimental results indicate that context awareness in the Internet of Things can be enhanced by the proposed model.

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Section: Related Workmentioning

confidence: 96%

Internet of Thing Context Awareness Model

Ntalasha¹,

Li²,

Wang³

2016

EAI Endorsed Transactions on Context-aware Systems and Applicat

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“…IoT has become one of the most suitable and demanding technologies due to the advancement and emergence of smart homes, smart buildings, and smart cities [14]. SDN raises much concern due to its ability to provide resource-sharing exibility and network virtualization with the help of decoupling the data plane and control plane [15].…”

Section: Literature Reviewmentioning

confidence: 99%

Security and Network Approach in Smart Environments – Role of SD-WAN Technology

Saeed

2023

Preprint

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A networking program established to meet current network needs within an extensive network with new architectures. This study presents a novel model of network connections with various devices such as mobile phones and laptops to control overall network management. This study compares and contrasts two home networks, each with its uses. Three linked Alcatel-Lucent 7750 IP service edge routers connect each network to an ISP network. This study builds on multi-carrier assured-service-quality connection tunnels to accommodate multi-ISP scenarios. In this regard, logical manipulation is taken for all connected devices with device abstraction and network programs. Software-Defined Networking (SDN) is a potential option for the future Internet. Two features can define SDN: one is the elimination from the data plane of the control plane, and the other includes programming for the optimization of network applications. SDN can provide additional architecture, efficiency, and versatility for complex applications to meet modern network architectures.

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“…The engineering design of a software product for social network analysis is decisive for the perceptional output of a policy arena (Degenne and Forse, 1999;Hasanagas et al, 2010a). The formulation of 'smart' evaluation algorithms which should be abstract and simultaneously functional and meaningful for a wide range of heterogeneous policy fi elds, from socio-political up to ecological structure analysis (Anghel et al, 2010;Engler and Kusiak, 2010) is a diachronic, substantial and still challenging question in software engineering (Hand et al, 2001;Antonelli and Chiabert, 2010;Cisar et al, 2010;Zamfi rescu and Filip, 2010). The examples suggested until now are mainly related to concrete fi elds such as rural-environmental (Hasanagas et al, 2010b), new rural-urban relationships, spatial (Dimen and Ienciu, 2005), industrial (Antonelli and Chiabert, 2010;Cisar et al, 2010), commercial (Kalay, 2006;Engler and Kusiak, 2010) and public administration issues (Henning and Wald, 2000).…”

Section: Introductionmentioning

confidence: 99%

Conceptualising ‘macro-regions’: Viewpoints and tools beyond NUTS classification

Ladias¹,

Hasanagas²,

Papadopoulou³

2011

stagec

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Conceptualising 'macro-regions': Viewpoints and tools beyond NUTS classifi cationDefi nitions are imposed but properties not. The basic question addressed by this paper is how to 'detect' objective socio-economic spatial structures instead of 'defi ning' them arbitrarily. The NUTS classifi cation model is rather arbitrary. Not only have the administrative units been structured through 'accidental' historical conditions but the reliability of the measurement of the population in an area is disputable as long as the mobility is strengthened and the 'usual residence' becomes more and more vague. Concerning the auxiliary criteria, they are also heterogeneous and are rather perceptions imposed by decision makers than physical entities. The quantitative network analysis (QNA) approach is suggested as a tool to detect macro-structures regarded as socio-economic and natural infrastructure of a 'macro-region'. This is based on algebraic analysis of a number of variables such as fl ows of people migration, fi nancial means, information, commodities, bio-diversity elements and parameters of the new relationship between urban and rural areas. In this paper, by using algorithms of QNA, such as Density of fl ows or Betweenness centrality of places, 'denser' networks of fl ows among places or more 'central' places can be differentiated from others, and thus can be used for a more substantial demarcation of 'macro-regions'.

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Middleware for Smart Environments Management

Cited by 5 publications

References 16 publications

Internet of Thing Context Awareness Model

Internet of Thing Context Awareness Model

Security and Network Approach in Smart Environments – Role of SD-WAN Technology

Conceptualising ‘macro-regions’: Viewpoints and tools beyond NUTS classification

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