Showing papers by "Mohammed Abo-Zahhad published in 2013"

Future location prediction of mobile subscriber over mobile network using Intra Cell Movement pattern algorithm

Abstract: Location based services (LBS) and their applications are one of the most growing services based on wireless communication systems. Future location prediction of mobile user results in a great enhancement of both LBS applications and mobile network performance. Many researches are developed to predict the future location of mobile user. In this paper we proposed a new method, Intra Cell Movement Prediction (ICMP), for mobile user's future location prediction based on mobile network platform to benefit from both intra and inter cell based techniques for network and services enhancement. The proposed method depends on map based intra-cell prediction and utilizes the network database and positioning techniques in extracting user trajectories and movement rules. As a result, the position of the next movement of mobile subscriber can be predicted. The performance of the proposed algorithm is evaluated through computer simulation and compared with that of [1] and [2]. The simulation results indicate that the proposed method is highly efficient for both network and services' improvements as it is used to enhance location based services with satisfactory accuracy, network's resource utilization, reduce the latency in accessing resources and mobility management.

New Technique for Mobile User's Location Detection, Future Prediction and their

Abstract: Positioning of mobile users has received growing attention and has potential for applications and services to enhance both Location Based Services (LBS) and cellular network performance. So, several researches are carried out to develop methods and algorithms which enhances the positioning accuracy and execution time (1)-(7). This paper presents a new technique for current location detection with high accuracy and accepted execution time (8). Combination of cellular network and Global Positioning System (GPS) positioning techniques provide a higher accuracy of mobile location than positions based on a standalone GPS or mobile network platform. The proposed hybrid Uplink Time Difference of Arrival and Assisted GPS technique (UTDOA-AGPS) for mobile user's location detection utilizes Universal Mobile Telecommunication System (UMTS) network, Mobile Station (MS) and GPS positioning characteristics. Due to flexibility of the proposed technique, many positioning sub-techniques are chosen according to positioning parameters. As a result, the required number of GPS satellites is reduced and many drawbacks are overcome. The paper also presents a novel algorithm for future location prediction of mobile subscriber over mobile network platform (9) which results in great enhancement in LBS applications and mobile network performance. In the proposed algorithm, Intra Cell Movement Prediction (ICMP), for mobile user's future location prediction is carried out to benefit from both intra and inter cell based techniques to enhance both network and services. The proposed ICMP algorithm depends on map based intra-cell prediction and utilizes the network database and hybrid (UTDoA-AGPS) positioning technique in extracting user trajectories and movement rules to predict the next movement of mobile user. The performance of the proposed algorithm is evaluated through computer simulation and compared with that of (10) and (11). The simulation results indicate that the proposed ICMP algorithm shows a comparable precession, accuracy, execution time and it can be adapted according to the needed application characteristics and the surrounding environment. Many public and commercial location applications are regenerated based on the proposed current location detection and future location prediction techniques.

A New ECG Compression Algorithm Based On Wavelet Foveation And Huffman Coding Techniques

Abstract: This paper introduces a new ECG signal compression algorithm based on modulating the ECG signal DWT coefficients with a proper mask constructed using the foveation principle. The constructed mask is a selective mask that gives a high resolution at a certain point (fovea) and falls down away from this point. The wavelet foveation of the ECG signal leads to decreasing the amount of information contained in the signal. So, the value of the foveated ECG signal Entropy will be decreased which by turn will increase the Compression Ratio (CR).The ECG signal after wavelet foveation is coded using Huffman codes; namely optimal selective Huffman coding, adaptive Huffman coding and modified adaptive Huffman coding. The performance of each coding technique is measured based on the CR, time cost and computational complexity.