People, places, things: Web presence for the real world

Kindberg, Tim; Barton, John; Morgan, Jeff; Becker, Glenn; Caswell, Deborah R.; Debaty, P.; Gopal, G.; Frid, M.; Krishnan, Venky; Morris, H.; Schettino, John; Serra, Bill; Spasojevic, Mirjana

doi:10.1109/mcsa.2000.895378

Cited by 271 publications

(268 citation statements)

References 13 publications

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“…3 (b) corresponds to Follow-me applications approach in the Sentient Computing project [3] and the linkage shown in Fig. 3 (c) corresponds to services on location-aware portable devices studied in the Cooltown [5] and NEXUS [4] projects.…”

Section: Discussionmentioning

confidence: 99%

“…It often assumes that such devices are attached to positioning systems, such as GPS receivers, which enable them to determine their own locations. For example, in HP's Cooltown project [5], mobile computing devices such as PDAs and smart phones are attached to GPSs to provide location-awareness for webbased applications running on the devices. The second approach assumes that a space is equipped with tracking systems which establish the location of physical entities, including people and objects, within the space so that application-specific services can be provided to appropriate computers.…”

Section: Introductionmentioning

confidence: 99%

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Mobile Agents for Ambient Intelligence

Satoh

2005

Massively Multi-Agent Systems I

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Abstract. This paper presents a mobile agent-based framework for ambient intelligence. The goal of the infrastructure is to provide people, places, and objects with computational functionalities to support and annotate them. Using locationtracking systems the infrastructure can navigate Java-based mobile agents to stationary or mobile computers near the entities and places to which the agents are attached, even when the locations change. The infrastructure enables applicationspecific functionalities to be implemented within mobile agents instead of the infrastructure itself. It maintains the locations of people and objects, including computing devices, and allows mobile users to directly access their personalized services from stationary computing devices in the environment or from their portable computing devices. This paper presents the rationale, design, implementation, and applications for our prototype infrastructure.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mobile Agents for Ambient Intelligence

Satoh

2005

Massively Multi-Agent Systems I

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“…They use different kinds of technologies to enhance objects and get their features: Bluetooth and RFID tags [20], Infra-Red (IF) tags read by smartphones [1] or by stylus and PDA (like GesturePen [21]), barcodes recognized by barcode readers (like AURA [4] and WebStickers [13]), 2D visual tags and smartphones [22]. In Cooltown [14], users get URLs containing thing's information by several types of active and passive emitters called "beacons" and can create a sort of simple pipe of two modules sending that URL to one printers or projector with and embedded web server.…”

Section: Related Workmentioning

confidence: 99%

Connecting Smart Things through Web Services Orchestrations

Pintus

Carboni

Piras

et al. 2010

Current Trends in Web Engineering

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Abstract. The Web of Things is an emerging scenario in which objects are connected to Internet and can answer to HTTP queries. To date, new applications in this field are mainly produced by designers and engineers while we claim that with simple and effective composition rules and easy-to-use building blocks, even users could invent new applications unforeseen by technology experts. In this paper, we describe a solution for modeling, implementing and running simple connections of smart things based on the point-click-and-compose paradigm. We envision a Service-oriented Architecture (SOA) where things are Web Services using WSDL standard and logical connections between things are modeled as Web Services orchestrations using the WS-BPEL language.

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“…The Open Geospatial Consortium [10] provides a high-level framework to build locationbased services. Cooltown [7] is a collection of location-aware applications, tools and development environments. As a sample application, the Cooltown museum offers a web page about a certain exhibit when a visitor is in front of it.…”

Section: Related Workmentioning

confidence: 99%

Detecting identifiable areas in mobile environments

Roth

2006

Proceedings of the 2006 ACM Symposium on Applied Computing

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Location-based applications and services are getting increasingly important for mobile users. They take into account a mobile user's current location and provide a location-dependent output. To support developers of location-based services, the Nimbus framework hides specific details of positioning systems and provides uniform output containing physical as well as symbolic location information, which often are more suitable for applications and users. One basic problem solved by Nimbus is the Distributed Location Resolution Problem: given a location; which identifiable areas cover this location, if the area information is distributed among different servers. This paper presents a solution of this problem that runs in the distributed, self-organizing Nimbus infrastructure. The effectiveness is demonstrated with the help of performance analyses.

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People, places, things: Web presence for the real world

Cited by 271 publications

References 13 publications

Mobile Agents for Ambient Intelligence

Mobile Agents for Ambient Intelligence

Connecting Smart Things through Web Services Orchestrations

Detecting identifiable areas in mobile environments

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