Ubiquitous Sensor Network Middleware Research Articles

Resilient communication for smart grid ubiquitous sensor network: State of the art and prospects for next generation

Smart grid combines a set of functionalities that can only be achieved through ubiquitous sensing and communication across the electrical grid. The communication infrastructure must be able to cope with an increasing number of traffic types which is as a result of increased control and monitoring, penetration of renewable energy sources and adoption of electric vehicles. The communication infrastructure must serve as a substrate that supports different traffic requirements such as QoS (i.e. latency, bandwidth and delay) across an integrated communication system. This engenders the implementation of middleware systems which considers QoS requirements for different types of traffic in order to allow prompt delivery of these traffic in a smart grid system. A heterogeneous communication applied through the adaptation of the Ubiquitous Sensor Network (USN) layered structure to smart grid has been proposed by the International Telecommunication Union (ITU). This paper explores the ITU's USN architecture and presents the communication technologies which can be deployed within the USN schematic layers for a secure and resilient communication together with a study of their pro's and con's, vulnerabilities and challenges. It also discusses the factors that can affect the selection of communication technologies and suggests possible communications technologies at different USN layers. Furthermore, the paper highlights the USN middleware system as an important mechanism to tackle scalability and interoperability problems as well as shield the communication complexities and heterogeneity of smart grid.

A Study of the Production Rules for Context Inference of Wetland Water Quality on Ubiquitous Sensor Network Middleware Framework

Problem statement: With gradually increasing movement to live together with nature, artificial wetlands are increasing as well. And the wind of change blows at the rivers and streams, thereby increasing the need for management systems. Conclusion/Recommendations: Accordingly, this study aims to design production rules for wetland environment context inference and establish application system by using JESS and the rule-based system based on facts collected from sensor networks in the wetland environment USN middleware.

Research on Middleware in Ubiquitious Sensor Network Envionment

IT infrastructure is evolving in a way to use physical information for providing context-aware services to the users and if necessary, to put some actions on the physical world for reacting appropriately based on perception on the physical world. Ubiquitous sensor network (USN) environment consists of various types of sensors and actuators to perceive and communicate with physical world. USN middleware is the system which collects physical information from various sensors and controls physical world with heterogeneous actuators on behalf of USN services. ETRI has been researching and developing USN middleware and this paper intends to introduce the results and the ongoing project.

Research on Middleware in Ubiquitious Sensor Network Envionment

IT infrastructure is evolving in a way to use physical information for providing context-aware services to the users and if necessary, to put some actions on the physical world for reacting appropriately based on perception on the physical world. Ubiquitous sensor network (USN) environment consists of various types of sensors and actuators to perceive and communicate with physical world. USN middleware is the system which collects physical information from various sensors and controls physical world with heterogeneous actuators on behalf of USN services. ETRI has been researching and developing USN middleware and this paper intends to introduce the results and the ongoing project.

유비쿼터스 센서 네트워크를 위한 USN 메타데이터 정의 및 메타데이터 관리 시스템

유비쿼터스 센서 네트워크(USN) 환경은 다양한 센서들을 기반으로 사용자에게 고급의 서비스를 제공하는 것을 그 목적으로 한다. 이러한 환경에서 센서 및 센서 노드, 그리고 센서 네트워크는 이종으로 존재하며 그 특성 또한 매우 다양하다. 그러므로 이들 사이에 상호운용성을 위하여 단일의 메타데이터를 정의하고 이를 효과적으로 관리하는 것은 매우 중요한 일이다. 이를 위하여 OGC(Open Geospatial Consortium) 에서는 센서를 모델링하기 위한 표준 언어로 SensorML(Sensor Model Language)을 제안하고 있다. 그러나 SensorML은 센서들 사이의 처리 모델을 기술하고, 이 때 필요한 각 센서들의 정보를 기술할 수 있는 프레임워크를 제공하는 것이 그 목적이다. 그러므로 SensorML이 USN 메타데이터를 기술하기 위해서 최적화 되었다고 보기는 어렵다. 본 논문에서는 센서 장치, 센서 노드 그리고 센서 네트워크 정보를 응용 입장에서 바라보고 기술하기 위한 USN 메타데이터를 정의한다. 또한 논문은 제안된 USN 메타데이터를 효과적으로 저장하고 검색하기 위한 방법을 제안하고 이를 기반으로 하는 USN 메타데이터 관리 시스템을 구현한다. 메타데이터 관리 시스템은 성능평가를 통해 그 유효성을 보인다. 논문에서 제안하는 센서 메타데이터는 SensorML을 기반으로 하므로 USN 환경에서 상호운용성을 유지할 수 있을 것이며, 메타데이터 관리 시스템은 USN 미들웨어나 응용에서 메타데이터 관리를 위해 직접 활용될 수 있을 것이다. The goal of Ubiquitous Sensor Network(USN) environments is to provide users high quality services based on a variety of sensors. In this environment, sensor devices, sensor nodes and sensor networks are heterogeneous and have various characteristics. Therefore it is important for interoperability to define a metadata for describing USN resources. The OGC(Open Geospatial Consortium) proposes SensorML(Sensor Model Language) as a standard language for modeling sensors. However, SensorML provides a framework for describing a processing model among sensors rather than describing information of sensors. Therefore, to describe a USN metadata is not main purposes of SensorML. This paper defines a USN metadata which describes information about sensor device, sensor node, and sensor network. Also the paper proposes a method for efficiently storing and searching the USN metadata and implements a USN metadata management system based on our method. We show that our metadata management system is reasonable for managing the USN metadata through performance evaluation. Our USN metadata keeps the interoperability in USN environments because the metadata is designed on SensorML. The USN metadata management system can be used directly for a USN middleware or USN application.

LAMSES : Large-Scale Middleware for Ubiquitous Sensor Networks with Context-Aware Technology

As our information society transitions from human-to object-oriented information, especially in ubiquitous-network environments, the advanced technologies developed for ubiquitous sensor networks (USNs) have received considerable attention. In addition, the prevalence of USN computing environments raises the issue of how applications can take full advantage of contextaware information. The main tasks of ubiquitous computing include generating new information from objects on the basis of data received from sensors, transmitting the newly generated information through wireless networks, analyzing the information received, and performing the specific tasks from that analysis. To establish a ubiquitous-computing environment, various fields (administration, medical, transportation, environment, disaster prevention, and so on) have incorporated USN technologies (such as sensor node hardware, sensor networks, and USN middleware) and USN application services (such as ecosystem forecasting, sniper countermeasures, health monitoring, environment observation, and surveillance to detect intruders).

On the Relevance of Using Bayesian Belief Networks in Wireless Sensor Networks Situation Recognition

Achieving situation recognition in ubiquitous sensor networks (USNs) is an important issue that has been poorly addressed by both the research and practitioner communities. This paper describes some steps taken to address this issue by effecting USN middleware intelligence using an emerging situation awareness (ESA) technology. We propose a situation recognition framework where temporal probabilistic reasoning is used to derive and emerge situation awareness in ubiquitous sensor networks. Using data collected from an outdoor environment monitoring in the city of Cape Town, we illustrate the use of the ESA technology in terms of sensor system operating conditions and environmental situation recognition.

Intelligent service processing in common USN middleware

The Ubiquitous sensor network (USN) is composed of several heterogeneous sensors with a variety of characteristics. An application based on the sensor network also has various requirements to provide services to users. Therefore it is important to develop the common USN middleware for flexible integration between the sensor networks and applications. Especially, this paper focuses on intelligent service management which is one of the main functions of USN middleware. Several applications in the sensor network environment support not only monitoring services, but also sensor-based context-awareness and intelligent services. In many applications, however, approaches to support intelligent services depend on the application because the standard method has been undefined yet. Therefore this paper proposes a common method for processing intelligent services in USN middleware independent of an application. The proposed method is implemented and evaluated as a component of USN middleware.

Large-Scale Middleware for Ubiquitous Sensor Networks

As our information society transitions from human-to object-oriented information, especially in ubiquitous-network environments, the advanced technologies developed for ubiquitous sensor networks (USNs) have received considerable attention. In addition, the prevalence of USN computing environments raises the issue of how applications can take full advantage of contextaware information. The main tasks of ubiquitous computing include generating new information from objects on the basis of data received from sensors, transmitting the newly generated information through wireless networks, analyzing the information received, and performing the specific tasks from that analysis. To establish a ubiquitous-computing environment, various fields (administration, medical, transportation, environment, disaster prevention, and so on) have incorporated USN technologies (such as sensor node hardware, sensor networks, and USN middleware) and USN application services (such as ecosystem forecasting, sniper countermeasures, health monitoring, environment observation, and surveillance to detect intruders).

USN 미들웨어 설계사례를 통한 패턴지향 아키텍처 설계방법의 개선

센서 네트워크는 무선통신기술의 발전에 힘입어 다양한 응용분야에서 센서들을 이용함으로써 무인화와 자동화를 가능하게 하고 있다. 센서 네트워크를 가능하게 하는 기술 중의 하나는 센서로부터 얻어지는 정보들을 효율적으로 수집하고 분석해서 자동적으로 제어하는 역할을 담당하는 USN(Ubiquitous Sensor Network) 미들웨어 기술을 꼽을 수 있다. 논문에서는 버섯재배 시스템의 구현을 사례로 하여, 버섯재배 응용을 위한 USN 미들웨어 설계를 수행하는 과정에서 요구되는 효율적인 소프트웨어 아키텍처 개발방법론을 다루고 있다. 특히, 아키텍처 설계방법 중 아키텍처 패턴을 효율적으로 이용하는 방법을 제안하고, 사례 시스템의 설계에 개선된 방법을 적용해 봄으로써 타당성을 검증하고자 하고 있다. 아울러, 기존의 소프트웨어 아키텍처 연구에서 간과되고 있는 소프트웨어 아키텍처를 위한 품질속성들을 검토하고, 정리하여 함께 제시하고 있다. The Sensor Network enables many distributed systems to be unmanned and automated by using of diverse sensors as well as wireless communication technologies. One of major enabling technologies for the sensor network is the USN middleware which plays the role of collecting and analyzing of measurements of sensors and controlling of the environments. The paper deals with the fungus cultivating environment based on Sensor Networks. Especially, we focus on the design of USN middleware for the embedded system, and explain how to design software architecture in terms of architectural patterns. In this design process, the improvement of methodology for pattern-oriented architecture design is proposed and the quality attributes for the architecture design is newly classified and suggested for the reference of software architecture design.