Abstract
In wireless network environment, to detect the location of a mobile node (MN) is an important factor for providing high-quality service to a MN. However, a limited communication range, disconnection, location error caused by various environmental influence of moving paths can be occurred in wireless network environment. In this paper, we propose an Intelligent Agent-based Mobility Prediction (IAMP) method that predicts the mobility of a MN by assigning an intelligent agent (IA) to each base station (BS) in a hybrid wireless network environment and provides suitable services according to change of location. To predict the mobility of a MN we build an ontology and carry out an inference based on some defined rules. To demonstrate superiority of the IAMP, we measured the average location error as time. Experimental results comparing the proposed method with established methods verify effectiveness and efficiency of the IAMP.
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Ma, Y.B., Lee, J.S. (2012). Intelligent Agent-Based Mobility Prediction Method Using Velocity Inference. In: Kim, JH., Lee, K., Tanaka, S., Park, SH. (eds) Advanced Methods, Techniques, and Applications in Modeling and Simulation. Proceedings in Information and Communications Technology, vol 4. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54216-2_14
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DOI: https://doi.org/10.1007/978-4-431-54216-2_14
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