期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：16
出版社：Journal of Theoretical and Applied
摘要：Mobile Internet Protocol (IP) handover refers to the seamless communication link change of one node from one access point to another. It is useful for preventing disruption in communication sessions in general, and it has a significant impact on the performance of the vehicular networks for the frequency of an occurrence in particular. This is important for different networks in general and vehicular networks in particular due to the high dependency of different vehicular and intelligent transportation of the internet. Thus, it is highly motivational applications to develop an efficient handover system for vehicular networks. The problematic aspect of vehicular handover is the non-accurate location information that might be provided to the handover because the non-accurate Global Positioning System (GPS) signal in an urban environment especially when the environment is occupied by the tall structures. Hence, it is essential to develop vehicular handover from the perspective of location prediction to assist in correct prediction to the next access point (AP). The two issues of mobile IP handover are in the latency and the possible loss of packets. Most previous studies have concentrated on the architecture aspect of the mobile IP to resolve this problem. Despite the effectiveness of such solutions they do not target directly the latency problem caused by the handover. In this research, a probability based geometrical model is developed for prediction of next AP based on logged information about the history of vehicles mobility in the road with respect to current AP. The methodology is based on dividing the coverage area around each AP to set of sectors and building dynamic probability table about the mobility of the vehicle from one AP at particular sector to the predicted AP. For further improvement in the performance, Kalman filter has been incorporated into each vehicle for accurate prediction of the vehicle location in the coverage zone. Simulation results have proven that our model outperformed the previous models in terms of all evaluation measures of the network performance: Packet Delivery Ratio (PDR), End to End delay (E2E delay), and overhead. The improvement showing on effects of number of sectors in the PDR is nearly 26.15% while the enhancement of the delay is up to 84.21% in the zone of the transition from one AP to another AP. Moreover, the achieved improvement of overhead is with a percentage of 34.67%.
关键词：Handover; Vehicular Network; Predictive Handover; Mobile IP; Coverage Sector
