Article

Location query based on moving behaviors.

Inf. Syst 01/2007; 32:385-401. DOI: 10.1016/j.is.2005.11.009
Source: DBLP

ABSTRACT The importance of location prediction is rapidly increasing with the current trend of database applications in mobile computing environment. However, current personal communication services network could only provide currently maintained location information of non-idle mobile terminals. Pertinent researches predict the future location based on tangent velocity approaches, which require mobile terminals to spend lots of precious electronic power to sense and then measure a sequence of positions for predicting the future tangent velocity, and the prediction is effective only within a short range of time. In this study, we propose an approach to predict future locations of mobile terminals based on the moving behaviors mined from their long-term moving history. Location prediction based on moving behavior requires no power consumption for position measurement, and the prediction results are effective for a long time without requiring the queried clients to be non-idle. With the help of moving behavior, we propose several location prediction operators for location query. Finally, we demonstrate the accuracy of the location query operators through simulation statistics. The experimental results show that the predictions are accurate enough for regular moving mobile terminals.

0 Bookmarks
 · 
40 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Advances in wireless transmission and increasing quantity of GPS in vehicles flood us with massive amount of trajectory data. The large amounts of trajectories imply considerable quantity of interesting road condition that current traffic database lacks. Mining live traffic condition from trajectories is a challenge due to complexity of road network model, uncertainty of driving behavior as well as imprecision of trajectories. In this paper, road linear reference system, road segmentation and road condition models are employed in preprocessing trajectory data to lower dimension of trajectory mining problems and reduce uncertainties and imprecision of raw trajectories. The trajectory mining problem includes the one near road intersection and the one in general road segment. The former focuses on finding turn information of road intersection, while the latter focuses on extracting road live condition. The experimental results show that the mining algorithm is effective and efficient in traffic condition mining.
    Advanced Data Mining and Applications, 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008. Proceedings; 01/2008
  • [Show abstract] [Hide abstract]
    ABSTRACT: The objective of 4G network is to provide best services to the users which in turn made the performance of existing network more critical. Further, the large traffic generated in such networks creates congestion resulting in overloading of the system. Frequent delays, loss of packets, and in addition the number of retransmission/paging also increases the computational cost of the system. This paper proposes a novel way to reduce overloading and retrieval mechanism for VLR through optimized search, based on the information of users mobility pattern (User profiles based (UPB)) to track the user. This not only improves the overall performance of the system, especially in the events when the visitor loca-tion register (VLR) is overloaded due to heavy traffic and congestion of the network. It was also established through simulation studies that the proposed UPB scheme optimizes the search and reduces the average waiting time in a queue. In addition, the provision of VLR w (waiting visitor location register) avoids the overloading of main VLR and provides a recovery/retrieval mechanism for VLR failure.
    04/2012;
  • [Show abstract] [Hide abstract]
    ABSTRACT: The objective of 4G network is to provide best services to the users which in turn made the performance of existing network more critical. Further, the large traffic generated in such networks creates congestion resulting in overloading of the system. Frequent delays, loss of packets, and in addition the number of retransmission/paging also increases the computational cost of the system. This paper proposes a novel way to reduce overloading and retrieval mechanism for VLR through optimized search, based on the information of users mobility pattern (User profiles based (UPB)) to track the user. This not only improves the overall performance of the system, especially in the events when the visitor loca-tion register (VLR) is overloaded due to heavy traffic and congestion of the network. It was also established through simulation studies that the proposed UPB scheme optimizes the search and reduces the average waiting time in a queue. In addition, the provision of VLR w (waiting visitor location register) avoids the overloading of main VLR and provides a recovery/retrieval mechanism for VLR failure.