Applying Position Prediction as a Means for Performance-tuning in Location-aware Platforms
نویسندگان
چکیده
With the constantly increasing number of mobile devices performance becomes more and more essential for location aware platforms. Position prediction can help to improve the overall performance of such location-aware platform, e.g. by reducing latencies during handovers. But this goal can only be achieved if the prediction mechanism provides a high accuracy and if it does not consume relevant computing resources. Here we are discussing a simple position prediction approach that meets both requirements. Depending on the parameters for position update and position prediction its accuracy is better than 85 per cent. In addition a single prediction is calculated in less than 0.02 millisecond on a state of the art processor.
منابع مشابه
Passive Vibration Control for Fatigue Damage Mitigation in Steel Jacket Platforms
Considering the stress cycles in the joints and members due to wave induced forces on offshore platforms, fatigue analysis is therefore one of the most important analyses in the offshore platforms design. Although most of the steel jacket type platforms are designed and located in areas with relatively high ratios of operational sea-states, for maximum environmental events, would have acceptabl...
متن کاملAdaptive Control of Machining Process Using Electrical Discharging Method (EDM) Based on Self-Tuning Regulator (STR)
In order to improve the optimal performance of a machining process, a booster to improve the serve control system performance with high stability for EDM is needed. According to precise movement of machining process using electrical discharge (EMD), adaptive control is proposed as a major option for accuracy and performance improvement. This article is done to design adaptive controller based o...
متن کاملContext-aware Modeling for Spatio-temporal Data Transmitted from a Wireless Body Sensor Network
Context-aware systems must be interoperable and work across different platforms at any time and in any place. Context data collected from wireless body area networks (WBAN) may be heterogeneous and imperfect, which makes their design and implementation difficult. In this research, we introduce a model which takes the dynamic nature of a context-aware system into consideration. This model is con...
متن کاملHierarchical Alpha-cut Fuzzy C-means, Fuzzy ARTMAP and Cox Regression Model for Customer Churn Prediction
As customers are the main asset of any organization, customer churn management is becoming a major task for organizations to retain their valuable customers. In the previous studies, the applicability and efficiency of hierarchical data mining techniques for churn prediction by combining two or more techniques have been proved to provide better performances than many single techniques over a nu...
متن کاملOffline Auto-Tuning of a PID Controller Using Extended Classifier System (XCS) Algorithm
Proportional + Integral + Derivative (PID) controllers are widely used in engineering applications such that more than half of the industrial controllers are PID controllers. There are many methods for tuning the PID parameters in the literature. In this paper an intelligent technique based on eXtended Classifier System (XCS) is presented to tune the PID controller parameters. The PID controlle...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004