Object Negotiation Mechanism for an Intelligent Environment Using Event Agents

Authors: Chiung-Hui Chen

Abstract:

With advancements in science and technology, the concept of the Internet of Things (IoT) has gradually developed. The development of the intelligent environment adds intelligence to objects in the living space by using the IoT. In the smart environment, when multiple users share the living space, if different service requirements from different users arise, then the context-aware system will have conflicting situations for making decisions about providing services. Therefore, the purpose of establishing a communication and negotiation mechanism among objects in the intelligent environment is to resolve those service conflicts among users. This study proposes developing a decision-making methodology that uses “Event Agents” as its core. When the sensor system receives information, it evaluates a user’s current events and conditions; analyses object, location, time, and environmental information; calculates the priority of the object; and provides the user services based on the event. Moreover, when the event is not single but overlaps with another, conflicts arise. This study adopts the “Multiple Events Correlation Matrix” in order to calculate the degree values of incidents and support values for each object. The matrix uses these values as the basis for making inferences for system service, and to further determine appropriate services when there is a conflict.

Keywords: Internet of things, intelligent object, event agents, negotiation mechanism, degree of similarity.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1125607

References:

[1] Anagnostopoulos, C.B., Ntarladimas, Y. & Hadjiefthymiades, S. (2006). Reasoning about Situation Similarity, In Proceedings of 3rd international IEEE Conference Intelligent Systems, September 2006.
[2] Anagnostopoulos, C.B., Ntarladimas, Y. & Hadjiefthymiades, S. (2007). Situation Computing: An innovative architecture with imprecise reasoning, The Journal of Systems and Software, 80.
[3] Becker, C. & Dürr, F. (2005). On location models for ubiquitous computing, Personal and Ubiquitous Computing, vol. 9(1), pp. 20-31.
[4] Beigl, M., Zimmer, T. & Decker, C. (2002). A Location Model for Communicating and Processing of Context, Personal and Ubiquitous Computing, vol. 6(5-6), pp. 341-357.
[5] Bosse, T., Both, F., Gerritsen, C., Hoogendoorn, M. & Treur, J. (2012). Methods for Model-Based Reasoning within Agent-Based Ambient Intelligence Applications. Knowledge-Based Systems, vol.27, pp.190-210.
[6] Gastelli, G., Mamei, M. & Zambonelli, F. (2008). Engineering Contextual Knowledge for Autonomic Pervasive Service, Information and Software Technology, vol. 50(1-2), pp.36-50.
[7] Gu, T., Pung, H. K. & Zhang,D. Q. (2004). A middleware for building context-aware mobile services, in Proceedings of IEEE Vehicular Technology Conference, Milan, Italy.
[8] Hitomi, T., Koji, T. & Siio, I. (2010). InPhase: evaluation of a communication system focused on happy coincidences of daily beh. In Proceedings of ACM CHI 2010 Conference on Human Factors in Computing Systems, pp.2481–2490, April 10-15, 2010, Atlanta, GA, USA.
[9] Ichiro, S. (2005). A World Model for Smart Spaces, 1st International Symposium on Ubiquitous Intelligence and Smart Worlds (UISW2005), Lecture Notes in Computer Science (LNCS), vol.3823, pp.31-40.
[10] Ichiro, S. (2007). A location model for smart environments, Pervasive and Mobile Computing, vol. 3(2), pp. 158-179.
[11] Kawsar, F., Fujinami, K. & Nakajima, T. (2007). A Lightweight Indoor Location Model for Sentient Artefacts using Sentient Artefacts, in Proceedings of the 2007 ACM symposium on applied computing, pp.1624-1631.
[12] Lee, J. (2009) An Application of the Theory of Collaborative Design to Intelligent Environments, Journal of Asian Architecture and Building Engineering, vol. 8 (1), pp. 81-88.
[13] Lee, Y. G., Choi J. W. & Lee I. J. (2006) Location Modeling for Ubiquitous Computing Based on the Spatial Information Management Technology, Journal of Asian Architecture and Building Engineering, vol. 5(1), pp. 105-111.
[14] Lertlakkhanakul, J., Sangrae, D. & Choi, J. (2006). Developing a Spatial Context-Aware Building Model and System to Construct a Virtual Place, In: Jos P. van Leeuwen and Harry J.P. Timmermans (eds.) Progress in Design & Decision Support Systems in Architecture and Urban Planning, 8th International DDSS Conference, pp. 343-358, 4-7 July 2006, Eindhoven University of Technology.
[15] Mises, L. V. (1999). Chinese translation by T. P. Hsia, revised by H. L. Wu, “Human Action,” Taipei, Taiwan: Yuan Liu Publishing, 2 Volumes, pp. 1-506.
[16] Shin, C., Yoon, H. & Woo, W. (2007). User-Centric Conflict Management for Media Services Using Personal Companions, ETRI journal, vol.29 (3), pp.311-321.
[17] Shin, C., Dey, A.K. & Woo, W. (2008) Mixed-Initiative Conflict Resolution for Context-Aware Applications, in Proceedings of the 10th international conference of Ubiquitous computing, pp. 262-271.
[18] Tan, J. G., Zhang, D., Wang, X. & Cheng, H. S. (2005). Enhancing Semantic Spaces with Event-Driven Context Interpretation, in Proceedings of 3rd Int’l Conf. on Pervasive Computing, pp.80-97, Munich, Germany.