Location-Aware multi-agent based intelligent services in home networks

Authors:
Minsoo Lee;Yong Kim;Yoonsik Uhm;Zion Hwang;Gwanyeon Kim;Sehyun Park;Ohyoung Song
Affiliations:
School of Electrical and Electronics Engineering, Chung-Ang University, Dongjak-Gu, Seoul, Korea;School of Electrical and Electronics Engineering, Chung-Ang University, Dongjak-Gu, Seoul, Korea;School of Electrical and Electronics Engineering, Chung-Ang University, Dongjak-Gu, Seoul, Korea;School of Electrical and Electronics Engineering, Chung-Ang University, Dongjak-Gu, Seoul, Korea;School of Electrical and Electronics Engineering, Chung-Ang University, Dongjak-Gu, Seoul, Korea;School of Electrical and Electronics Engineering, Chung-Ang University, Dongjak-Gu, Seoul, Korea;School of Electrical and Electronics Engineering, Chung-Ang University, Dongjak-Gu, Seoul, Korea
Venue:
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Year:
2006

Citing 14
Cited 1

The Hierarchical Hidden Markov Model: Analysis and Applications

Machine Learning
LocALE: a Location-Aware Lifecycle Environment for Ubiquitous Computing

ICOIN '01 Proceedings of the The 15th International Conference on Information Networking
A Framework for Developing Mobile, Context-aware Applications

PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
A service-oriented middleware for building context-aware services

Journal of Network and Computer Applications
Location-Aware Computing Comes of Age

Computer
An infrastructure approach to context-aware computing

Human-Computer Interaction
A secure context management for qos-aware vertical handovers in 4g networks

CMS'05 Proceedings of the 9th IFIP TC-6 TC-11 international conference on Communications and Multimedia Security
Efficient 3G/WLAN interworking techniques for seamless roaming services with location-aware authentication

NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
Parasitic mobility for pervasive sensor networks

PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Learning and recognizing the places we go

UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
A location-aware secure interworking architecture between 3GPP and WLAN systems

ICISC'04 Proceedings of the 7th international conference on Information Security and Cryptology
Feature fusion-based multiple people tracking

PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Elastic security qos provisioning for telematics applications

WISA'05 Proceedings of the 6th international conference on Information Security Applications
Mobility modeling, location tracking, and trajectory prediction in wireless ATM networks

IEEE Journal on Selected Areas in Communications

Moving object detection and classification using neural network

KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

The development of intelligent multi-agent systems involves a number of concerns, including mobility, context-awareness, reasoning and mining. Towards ubiquitous intelligence this area of research addresses the intersection between mobile agents, heterogeneous networks, and ubiquitous intelligence. This paper presents a development of hardware and software systems to address the combination of these interests as Location-Aware Service. Our architecture performs the intelligent services to meet the respective requirements. By adding autonomous mobility to the agents, the system becomes more able to dynamically localize around areas of interest and adapt to changes in the ubiquitous intelligence landscape. We also analyze some lessons learned based on our experience in using location-aware multi-agent techniques and methods.