Open Smart Home: Library

The pervasiveness of smart appliances in the home, the increase of computational power of traditional home appliances, and the widespread adoption of wireless networking are creating a unique opportunity in domotics.
The challenge lies in moving from a set of isolated devices towards a network of home appliances interoperating and scaling seamlessly to provide services to the home user. The major barriers to achieve this is the abundance of non-interoperable domotics standards and the lack of a generally agreed architecture. We propose a service-oriented architecture (SOA) for the interaction of home appliances and the creation of value added services based on standard web services. In particular, we propose the use of WS-Notification as the basic layer for device interoperation. We have experimented the proposed architecture in the context of a project for the assistance of the elder citizen. We provide preliminary results for the case of fall-detection. Addressing the operability of different sensors yields, for the first time, to an integrated and scalable system that detects falls by fusing data transported via a truly vendor-independent publish/subscribe mechanism.

Author: Marco Aiello, Maurizio Marchese, Paolo busetta, Gaetano Calabrese

Nokia Research Center, Cambridge

Author: Franklin Reynolds

Grid computing [37] is proving to be a useful paradigm for organizing and harnessing distributed resources. By provisioning the fruits of fundamental computer science research as services for such as scheduling and authentication, it is bringing distributed computing into the everyday lives of working scientists. As the convergence between Web services and Grid computing continues in standards such as the WS-Resource Framework, we expect to see this trend continue, aided by the complementary nature of Web services and Grid computing..

Author: Kenneth Chiu, Randall Bramley, John C. Huffman, Kia Huffman, and Donald F. McMullen

Home Automation systems can be categorized into 5 different levels based on several factors. The factors are primarily complexity and functionality. These factors determine the level of sophistication, the type of hardware and the software used..

Author: Larry Kasevich

Università di Modena e Reggio Emilia Dipartimento di Scienze e Metodi dell Ingegneria

Author: Roberto Montanari

Opportunities of Emerging Technologies for Smart Houses
City-wide Energy, Gas and Water Measurement Networks Due to the improvements in wireless sensor technology, an increased number of companies are using it for a wide range of purposes (monitor and automate home, building, industrial and agricultural systems, including thermostats and security products, automated meter reading). In order to achieve technological and marketplace success, the low power, inexpensive sensor networks need an economical, low-latency, robust, energyefficient, wireless connectivity infrastructure. With this in mind, we are proposing a wireless network architecture for automated energy, gas and water meter reading based on ZigBee technology.

Author: Lehel Nagy-Kulcsar, Petru Dobra, Daniel Moga, Mihai

In this paper, we discuss some important current developments concerning smart home technologies and their future prospects.

Author: Alladi Venkatesh Ph.D.

We are delighted to present you the first issue of the International Journal on Smart Homes (IJSH). This inaugural issue contains nine technical papers dealing with cutting-edge research and technology related to the design, modeling, and implementation of architectures, algorithms and protocols of smart homes or environments. Actually, this is a special issue of extended papers selected from two events: International Workshop on Smart Homes (IWSH 2006) and International Conference on Hybrid Information Technology (ICHIT 2006).

Author: SERSC

Agents operate and exist in some environment, which typically is both computational and physical. The environment might be open or closed, and it might or might not contain other agents. Although there are situations where an agent can operate usefully by itself, the increasing interconnection and networking of computers is making such situations rare, and in the usual state of affairs the agent interacts with other agents. Whereas the previous chapter defined the structure and characteristics of an individual agent, the focus of this chapter is on systems with multiple agents. At times, the number of agents may be too numerous to deal with them individually, and it is then more convenient to deal with them collectively, as a society of agents. In this chapter, we will learn how to analyze, describe, and design environments in which agents can operate effectively and interact with each other productively. The environments will provide a computational infrastructure for such interactions to take place. The infrastructure will include protocols for agents to communicate and protocols for agents to interact.

Author: Michael N. Huhns and Larry M. Stephens

Lo scopo di questa tesi è quello di dimostrare come si può creare un’agenzia domotica, capace di gestire, ad alto livello, la casa e di effettuare monitoraggio e telecontrollo, utilizzando la tecnologia Jini e le tecniche di intelligenza artificiale. La realizzazione sperimentale si occuperà della definizione globale del sistema (infrastruttura) e di alcune parti specifiche di questo, che serviranno a dimostrare la ricaduta applicativa di questa tesi. Politecnico di Milano Facoltà di Ingegneria di Como Corso di Laurea in Ingegneria Informatica

Author: Alberto Noseda, Luca Zappa

Berkeley Wireless Research Center Department of EECS, University of California, Berkeley

Author: Jan M. Rabaey and the PicoRadio Group