Name
Abstract | ||
|---|---|---|
The purpose of this paper is to introduce an innovative framework for implementation of ambient intelligence (AmI) environments. Compared to the existing state-of-the-art approaches, this framework creates a more decentralized and distributed AmI environment. In addition, the proposed approach is not limited to one specific domain, unlike many others. The openness of the presented architecture allows it to support a variety of devices ranged from small-embedded sensors to complex computing facilities. Finally, given that this approach is formulated based on multi-agent standard concepts, it can be easily implemented as add-on for existing software agent platforms to achieve rapid deployment. Implications for the development of this framework and future directions are discussed. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1363686.1364137 | SAC |
Keywords | Field | DocType |
multi-agent standard concept,ami environment,generic mobile agent framework,ambient intelligence,small-embedded sensor,rapid deployment,future direction,existing state-of-the-art approach,complex computing facility,innovative framework,ant colony optimization,percolation,software agent,swarm intelligence,mobile agent | Ant colony optimization algorithms,Software deployment,Computer science,Ambient intelligence,Swarm intelligence,Mobile agent,Software agent,Mobile device,Artificial intelligence,Ubiquitous computing,Distributed computing | Conference |
Citations | PageRank | References |
6 | 0.46 | 30 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yung-chuan Lee | 1 | 18 | 4.34 |
| Elham S. Khorasani | 2 | 10 | 2.22 |
| Shahram Rahimi | 3 | 172 | 40.74 |
| B. Gupta | 4 | 152 | 51.48 |