aWESoME: A web service middleware for ambient intelligence

2010

With computing and communication capabilities now embedded in most physical objects of the surrounding environment and most users carrying wireless computing devices, the Ambient Intelligence (AmI) / pervasive computing vision [28] pioneered by Mark Weiser [32] is becoming a reality. Devices carried by nomadic users can seamlessly network with a variety of devices, both stationary and mobile, both nearby and remote, providing a wide range of functional capabilities, from base sensing and actuating to rich applications (e.g., smart spaces). This then allows the dynamic deployment of pervasive applications, which dynamically compose functional capabilities accessible in the pervasive network at the given time and place of an application request.

2006

Heterogeneous sensor networks consisting of networked devices embedded into the physical world have a significant role in pervasive computing systems. Such sensor networks may contain wireless sensor networks that are ensembles of small, smart, and cheap sensing and computing devices that permeate the environment, as well as high-bandwidth rich sensors such as satellite imaging systems, meteorological stations, air quality stations, and security cameras. Emergency response, homeland security, and many other applications have a very real need to interconnect such diverse networks and access information in real-time. While Web service standards provide well-developed mechanisms for resource-intensive computing nodes, linking such mechanisms with wireless sensor networks is very challenging because of limited resources, volatile communication links, and often node mobility. This paper presents a service-oriented programming model and middleware for ad-hoc wireless sensor networks which permits discovery and access of Web services. Sensor network applications are realized as graphs of modular and autonomous services with well-defined interfaces that allow them to be published, discovered, and invoked over the network, providing a convenient mechanism for integrating services from heterogeneous sensor systems. Our approach provides dynamic discovery, composition, and binding of services based on an efficient localized constraint satisfaction algorithm that can be used for developing ambient-aware applications that adapt to changes in the environment. A tracking application that employs many inexpensive sensor nodes, as well as a Web service, is used to illustrate the approach. Our results demonstrate the feasibility of ambient-aware applications that interconnect wireless sensor networks and Web services.

2012

Abstract: OMiSCID 2.0 is a lightweight middleware for ubiquitous computing and ambient intelligence. Its main objective is to bring Service Oriented Architectures to all developers. After reviewing related works, we demonstrate how OMiSCID 2.0, compared to other available solutions, integrates easily in classical workflows without adding any constraints on the development process.

2005

Ambient-intelligence (AmI) systems raise a series of new challenges in software and system development: Mobility, adaptability and heterogeneity are new concerns that have to be addressed. Many of these concerns are common and therefore should be addressed by a common AmI infrastructure instead of each individual application. This position paper proposes a bottom-up approach for the development of such a middleware infrastructure, which allows for easy customization to different hardware topologies.

2006 3rd International Conference on Broadband Communications, Networks and Systems, 2006

Sensor webs are heterogeneous collections of sensor devices that collect information and interact with the environment. They consist of wireless sensor networks that are ensembles of small, smart, and cheap sensing and computing devices that permeate the environment as well as high-bandwidth rich sensors such as satellite imaging systems, meteorological stations, air quality stations, and security cameras. Emergency response, homeland security, and many other applications have a very real need to interconnect such diverse networks and access information in real-time. While Internet protocols and Web standards provide well-developed mechanisms for accessing this information, linking such mechanisms with resource-constrained sensor networks is very challenging because of the volatility of the communication links. This paper presents a service-oriented programming model for sensor networks which permits discovery and access of Web services. Sensor network applications are realized as graphs of modular and autonomous services with well-defined interfaces that allow them to be described, published, discovered, and invoked over the network providing a convenient way for integrating services from heterogeneous sensor systems. Our approach provides dynamic discovery, composition, and binding of services based on an efficient localized constraint satisfaction algorithm that can be used for developing ambient-aware applications that adapt to changes in the environment. A tracking application that employs many inexpensive sensor nodes, as well as a Web service, is used to illustrate the approach. Our results demonstrate the feasibility of ambient-aware applications that interconnect wireless sensor networks and Web services.

Lecture Notes in Computer Science, 2008

Heterogeneous sensor networks are comprised of ensembles of small, smart, and cheap sensing and computing devices that permeate the environment, as well as resource intensive sensors such as satellite imaging systems, meteorological stations, and security cameras. Emergency response, homeland security, and many other applications have a very real need to interconnect these diverse networks and access information in real-time. Web service technologies provide well-developed mechanisms for exchanging data between heterogeneous computing devices, but they cannot be used in resource-constrained wireless sensor networks. This paper presents OASiS, a lightweight service-oriented architecture for sensor networks, which provides dynamic service discovery and can be used to develop ambient-aware applications that adapt to changes in the network and the environment. An important advantage of OASiS is that it allows seamless integration with Web services. We have developed a middleware implementation that supports OASiS, and a simple tracking application to illustrate the approach. Our results demonstrate the feasibility of a service-oriented architecture for wireless sensor networks.

Lamses collects, analyzes, and stores data and status information in a ubiquitous sensor network; generates lightweight, large-scale sensed data; and provides efficient event processing. environments raises the issue of how applications can take full advantage of context-aware 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 middle-ware) and USN application services (such as ecosystem forecasting, sniper countermeasures , health monitoring, environment observation, and surveillance to detect intruders). A USN involves the collaboration of several sensor nodes having heterogeneous capabilities. Once a sensor network is deployed , the middleware of the USN gathers sensor information (data sensed by each sensor) from these heterogeneous sensor nodes. Such networks usually cannot operate without any centralized entities , but rather must be connected to an external stationary network that monitors and controls the participating sensor nodes. Existing USN middleware typically manages information collected from sensor nodes or responds to requests from USN application services. However, such middle-ware should be capable of managing and storing a large volume of information received from thousands of sensor nodes. Researchers have presented various USN middleware systems (see the "Related Work" sidebar). These systems, however, deal only with partial USN service, and they fail to consider various types of requests as well as the sensed data's size. A s 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

Base-Middleware Programming And Deployment Framework Intelligent User services Applications "Interoperability is obvious and natural for users." J. Sharing ambience and activities The concept of ambience and activity sharing that was exemplified in the Amigo extended home applications extends the traditional views of remote communication between people and between locations. The take-up of this concept in home applications will require heavy investment in devices and it is a long-term perspective, but it constitutes very suitable applications for the broadband home. Potential short term applications could aim at, for example, informal communication in office environments, remote care, and remote assistance.

Proceedings. 2006 31st IEEE Conference on Local Computer Networks, 2006

Pervasive computing environments such as smart spaces require a mechanism to easily integrate, manage and use numerous, heterogeneous sensors and actuators into the system. However, available sensor network platforms are inadequate for this task. The goals are requirements for a smart space are very different from the typical sensor network application. Specifically, we found that the manual integration of devices must be replaced by a scalable, plug-and-play mechanism. The space should be assembled programmatically by software developers, not hardwired by engineers and system integrators. This allows for cost-effective development, enables extensibility, and simplifies change management. We found that in a smart space, computation and power are readily available and connectivity is stable and rarely ad-hoc. Our deployment of a smart house (an assistive environment for seniors) guided us to designing Atlas, a new, commercially available service-oriented sensor and actuator platform that enables self-integrative, programmable pervasive spaces. We present the design and implementation of the Atlas hardware and middleware components, its salient characteristics, and several case studies of projects using Atlas.

2012

Smart embedded objects such as sensors and actuators will become an important part of the Internet of Things. With recent technologies, it has now become possible to deploy a sensor network and interconnect it with IPv6 Internet. However, several manual configuration steps are still needed to integrate a sensor network within an existing networking environment. In this paper we describe a novel self-organization solution to facilitate the deployment of sensor networks and enable the discovery, end-to-end connectivity and service usage of these newly deployed sensor nodes. The proposed approach makes use of embedded web service technology, i.e. the IETF Constrained Application Protocol (CoAP). Automatic hierarchical discovery of CoAP servers is one of the key features, resulting in a browsable hierarchy of CoAP servers, up to the level of the sensor resources, which can be accessed both over CoAP and HTTP and through the use of either DNS names or IPv6 addresses. To demonstrate the feasibility of our approach we have implemented the solution and deployed it on a test setup, which is publicly accessible to everyone.