Agent based middleware infrastructure for autonomous context-aware ubiquitous computing services

Soldatos, John; Pandis, Ippokratis; Stamatis, Konstantinos; Polymenakos, Lazaros; Crowley, James L.

doi:10.1016/j.comcom.2005.11.018

Cited by 62 publications

(27 citation statements)

References 14 publications

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“…Related to user context personalization, frameworks based on Internet webservices, Internet address identification and segmentation proposes frameworks to act on behalf of users on pre-selection and definition of context content and services before turn it available to users (Kwon, et al, 2005). References regarding technical aspects to support multiconnected environments using agent-based model (Soldatos, et al, 2007) helps to establish this work base. Related researches covering the orchestration needs performed by multiple agents to process individual tasks adapting it behavior according to a collective result (Aouatef, et al, 2014) indicates an applicability of the concepts together.…”

Section: Multi-agent Systems and Context-aware Computingmentioning

confidence: 99%

EducActiveCore: Computational Model to Educational Personalization Based on Multiagent and Context-Aware Computing

Santos

Notargiacomo²

2017

IJLTER

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Abstract. With the growth of online courses and, usage of mobile access allowing students execute educational activities in multiple locales, with variety of data and media content, new perspectives of educational support using different computing models can be observed. Some of most recent evolved computing models stand out in areas like Social Networks Analysis, Artificial Intelligence, Mobile Computing and Context-Aware Computing. Understanding the combination of these computing areas as complementary researches, this work investigates the applications of these computing technics to modeling an intelligent computational engine with educational personalization purposes. In this resume of a research in progress, a reduced implementation prepared as proof of concept simulating aspects of the target model, operates as centralized adaptive engine. The implemented engine, applied Artificial Neural Networks on classification tasks and routing recommendation. A group of 27 students participated in an experiment interacting with the adaptive engine using a mobile application provided. The mobile application allowed tracking of interface during usage flow by students, and provided to students the adaptive engine recommendation results. Around 59% of students confirmed the recommendation effectiveness of adaptive engine. In this experiment, at the end of each participation, students sent feedbacks about application features. The current results indicate the viability of computational model related to automation of classification tasks to environment identification and activity routing recommendation. In brief, the initial experiment presented encouraging results, indicating that the continuity of research could result in a useful tool to online educational platforms.

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Section: Multi-agent Systems and Context-aware Computingmentioning

confidence: 99%

EducActiveCore: Computational Model to Educational Personalization Based on Multiagent and Context-Aware Computing

Santos

Notargiacomo²

2017

IJLTER

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“…Moreover, they provide tools and methods that can help hiding the complexity and heterogeneity of hardware and network platforms. Also, middleware supports programmer's applications in several ways, such as providing appropriate system abstractions and reusability of code services, while helping in the network infrastructure management [6].…”

Section: Introductionmentioning

confidence: 99%

A General Distributed Architecture for Resilient Monitoring over Heterogeneous Networks

Januário

Cardoso

Gil

2014

IFIP Advances in Information and Communication Technology

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Abstract. The growing developments on networked devices, with different communication structures and capabilities made possible the emergence of new architectures for monitoring systems. In the case of heterogeneous distributed environments, where knowledge, processing devices, sensors and actuators are distributed throughout the network, the design of such systems are challenging in terms of integration and, markedly, in security and state-awareness of the overall system. This work proposes a general distributed architecture, with supporting methods, for building a resilient monitoring system that can adaptively accommodate both cyber and physical anomalies. Its implementation relies on multi-agent systems within a distributed middleware.

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“…Ubiquitous computing service aims to develop the various ranges of sensors and networks available to provide timeless services and user's location. A main issue of ubiquitous computing can be context awareness that it is able to provide various services to end users not only based on information but also based on potential contextual information [3].In this content, wireless sensor network (WSN) is a hot issue and new trend of ubiquitous computing technologies to implement the ubiquitous society. WSNs are expected to be applied in many long-term applications such as scientific exploration, preventive maintenance, disaster management, emergency management, security and surveillance, environmental monitoring, monitoring in domestic situations, civil, biological, a wide range of military, and health-care applications, and infrastructure protection.…”

mentioning

confidence: 99%

“…And they present an example that context-aware sensor grid framework should be composed of three layers, sensor network layer, grid computing layer, and context-aware application layer. Soldatos et al [3] highlight that context awareness is a core characteristic of ubiquitous computing systems. Ramesh et al [10] propose an application for context-aware computing (CAC) for WSN (CAC-WSN).…”

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confidence: 99%

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Ubiquitous Context-Awareness and Wireless Sensor Networks

Jeong

Xiao

Chen

et al. 2014

International Journal of Distributed Sensor Networks

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In 1991, Mark Weiser proposed ubiquitous computing that is based on the network environment [1]. It is to create a user centric computing and its environment that is different from the traditional ways and computing models [2]. Ubiquitous computing service aims to develop the various ranges of sensors and networks available to provide timeless services and user's location. A main issue of ubiquitous computing can be context awareness that it is able to provide various services to end users not only based on information but also based on potential contextual information [3].In this content, wireless sensor network (WSN) is a hot issue and new trend of ubiquitous computing technologies to implement the ubiquitous society. WSNs are expected to be applied in many long-term applications such as scientific exploration, preventive maintenance, disaster management, emergency management, security and surveillance, environmental monitoring, monitoring in domestic situations, civil, biological, a wide range of military, and health-care applications, and infrastructure protection. These applications require efficient and flexible sensor networks [4]. So WSNs are composed of a collection of many sensor nodes that are deployed in a sensor field, each of which collects data and relays them to the base station (called a sink node) where data can be analyzed, applied, and used efficiently. Generally, a sensor node is made of a sensing device, a processing unit, a transceiver, and a power unit. The main task can be summarized by three keys: sensing, computing, and communicating [5].A common architecture of WSNs is sink and sensor pair. The sensors deal with measuring the environmental status, which may change with time and space, collaborating with each sensor, and forwarding the measured data from the sensor to the sink. The sink is responsible for integrating, analyzing data received from sensors, and responding to users and applications [6].Many Researchers study and propose their manuscripts and system using WSNs.Hung et al. [7] propose a mechanism to maintain temporal coverage for the quality of monitoring (QoM) using WSNs. Generally, in WSN environment that can require many sensors with powerful energy, they suggest a method to improve energy efficiency.Adhikari [8] reviews designing a good MAC (medium access control) protocol for a WSN. That is, he highlights the importance of MAC in WSN when we implement energy efficient medium access rules among the low capacity sensor nodes.In this technical trend, a context-aware system and application can be hot issue in ubiquitous computing environment. That is, context-awareness techniques can provide both functional and nonfunctional system requirements. Aqeelur-Rehman et al. [9] review importance of context awareness in sensor network and ubiquitous computing. And they present an example that context-aware sensor grid framework should be composed of three layers, sensor network layer, grid computing layer, and context-aware application

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Agent based middleware infrastructure for autonomous context-aware ubiquitous computing services

Cited by 62 publications

References 14 publications

EducActiveCore: Computational Model to Educational Personalization Based on Multiagent and Context-Aware Computing

EducActiveCore: Computational Model to Educational Personalization Based on Multiagent and Context-Aware Computing

A General Distributed Architecture for Resilient Monitoring over Heterogeneous Networks

Ubiquitous Context-Awareness and Wireless Sensor Networks

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