Location-Aware Multi-agent Based Intelligent Services in Home Networks

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.

[1]  Sehyun Park,et al.  A Secure Context Management for QoS-Aware Vertical Handovers in 4G Networks , 2005, Communications and Multimedia Security.

[2]  Sehyun Park,et al.  Seamless and secure mobility management with location-aware service (LAS) broker for future mobile interworking networks , 2005, Journal of Communications and Networks.

[3]  Tatsuo Nakajima,et al.  System Support for Distributed Augmented Reality in Ubiquitous Computing Environments , 2003, RTCSA.

[4]  Tong Liu,et al.  Mobility modeling, location tracking, and trajectory prediction in wireless ATM networks , 1998, IEEE J. Sel. Areas Commun..

[5]  Sangjin Kim,et al.  Feature Fusion-Based Multiple People Tracking , 2005, PCM.

[6]  Joseph A. Paradiso,et al.  Parasitic Mobility for Pervasive Sensor Networks , 2005, Pervasive.

[7]  Nirmala Shenoy,et al.  User mobility prediction in hybrid and ad hoc wireless networks , 2003 .

[8]  Sehyun Park,et al.  A Secure Web Services for Location Based Services in Wireless Networks , 2004, NETWORKING.

[9]  Vinny Cahill,et al.  A framework for developing mobile, context-aware applications , 2004, Second IEEE Annual Conference on Pervasive Computing and Communications, 2004. Proceedings of the.

[10]  John Krumm,et al.  Location-aware computing comes of age , 2004, Computer.

[11]  Sunny Consolvo,et al.  Learning and Recognizing the Places We Go , 2005, UbiComp.

[12]  Tao Gu,et al.  A service-oriented middleware for building context-aware services , 2005, J. Netw. Comput. Appl..

[13]  Yoram Singer,et al.  The Hierarchical Hidden Markov Model: Analysis and Applications , 1998, Machine Learning.

[14]  Harry Chen,et al.  An ontology for context-aware pervasive computing environments , 2003, The Knowledge Engineering Review.

[15]  Sehyun Park,et al.  Efficient 3G/WLAN Interworking Techniques for Seamless Roaming Services with Location-Aware Authentication , 2005, NETWORKING.

[16]  Minsoo Lee,et al.  Elastic Security QoS Provisioning for Telematics Applications , 2005, WISA.

[17]  Sunny Consolvo,et al.  The CareNet Display: Lessons Learned from an In Home Evaluation of an Ambient Display , 2004, UbiComp.

[18]  James A. Landay,et al.  An Infrastructure Approach to Context-Aware Computing , 2001, Hum. Comput. Interact..

[19]  Diego López-de-Ipiña,et al.  LocALE: a location-aware lifecycle environment for ubiquitous computing , 2001, Proceedings 15th International Conference on Information Networking.

[20]  Gaetano Borriello,et al.  Particle Filters for Location Estimation in Ubiquitous Computing: A Case Study , 2004, UbiComp.

[21]  Sehyun Park,et al.  A Location-Aware Secure Interworking Architecture Between 3GPP and WLAN Systems , 2004, ICISC.