In:
Journal of Local and Global Health Science, Hamad bin Khalifa University Press (HBKU Press), Vol. 2015, No. 2 ( 2015-11-12)
Abstract:
Today, the world has observed a remarkable growth in the use of transportation mobile communications for road safety. While a user in a vehicle moves to a new communication cell, a wireless terminal requests a handoff for new channel in the new cell. Due to that movement, some of the challenges issues are developed such as, the increase in traffic volumes and demand for high speed transportation mobile communications call for fast, seamless and high performance handoff in mobile communications network. When a wireless user in a vehicle moves from one base station cell to another, handoff protocols reroute the existing active connections in the new transportation cell. The future challenges in next generation high speed transportation mobile networks are to minimize the packet loss and to provide efficient use of the network resources while maintaining quality of service assurances. Therefore, the performance of efficient management and a successful handoff operation in transportation mobile networks become an important issue for road safety traffic. This work shows analytical handoff management for transportation users in a high speed mobile communications network. We demonstrate the performance of handoffs with mobility consideration using several metrics including the alteration of states prior to reaching a transportation mobility cell boundary, the speed of transportation mobile terminal, and the distance between a transportation mobile terminal and a transportation cell boundary. We illustrate the performance evaluation for the factor of transportation mobility with taking into account the high speed status of a mobile vehicle user. Numerical results of the transportation performance analysis and the probability of requiring a handoff are demonstrated using Maple. Figure 1 shows a shaped region of a cellular network and the cellular handoff model with mobility.
In this abstract, we modeled the cellular handoff for multimedia users with taking the high speed mobility into account in wireless mobile networks. The performance results in terms of state probabilities and the probability that a mobile terminal reached a cell boundary were investigated. The mobilized analysis involved with number of issues such as the alternation of states before a mobile unit reached a cell boundary, the distance between the mobile terminal and a cell boundary and the speed of the vehicle. Based on the assumption of the alternation of states, there were four situations for a vehicle to reach a cell boundary. Performance results were accurately analyzed based on these four situations. It was clearly showing that for a vehicle that experienced the change of states, the outcome chance of reaching a cell boundary was proportional to the distance in between the mobile terminal and a cell boundary and inversely propositional to the speed of the vehicle. References [1] J. Naylon, D. Gilmurray, J. Porter and A. Hopper, “Low-latency handover in a wireless ATM LAN,” IEEE Journal on Selected Areas in Communication, Vol. 16, pp. 909-921, Aug. 1998. [2] A. Acharya, S. Biswas, L. French, J. LI and D. Raychaudhuri, “Handoff and location management in mobile ATM networks,” Proceeding3rd International Conference Mobile Multimedia Communication, September 1996. [3] A. Acharya, J. Li, B. Rajagopalan and D. Raychaudhuri, “Mobility management in wireless ATM networks,” IEEE Communications Magazine, pp. 100-109, 1997. [4] Y. Fei, V. W. Wong, V. C. Leung, “Efficient QoS provisioning for adaptive multimedia in mobile communication networks by reinforcement learning,” Mobile Networks and Applications, Vol. 11, pp. 101-110, 2006. [5] J. G. Guzman, j. M. Bauset, and V. Pla, “Performance bounds for mobile cellular networks with handover prediction,” Management of Multimedia Networks and Services, Springer Berlin / Heidelberg, pp. 35-46, 2005. [6] R. Zander and J. M. Kalsson, “Combining bandwidth borrowing and reservation in cellular networks,” International Journal of Wireless Information Networks, Vol. 12, No. 3, pp. 187-201, 2005. [7] G. H. Ma and A. Y. Zomaya, “an efficient channel allocation scheme for cellular network using maximum channel packing,” Wireless Communications and Mobile computing, vol. 4, pp. 683-692, 2004. [8] K. Q. Tian and D. C. Cox, “Mobility management in wireless networks: data replication strategies and applications,” Kluwer Academic Publishers, New York, 2004. [9] A. R. Momen and P. Azmi, Stochastic vehicle mobility with environmental condition adaption capability,” Wireless Communications and Mobile computing, Vol. 9, pp.1070-1080, 2008. [10] K. Ioannou, S. Kotsopoulos, and P. Stavroulakis, “Optimizing the QoS of high speed moving terminals in cellular networks,” International Journal of Communications systems, Vol. 16, pp. 851-863, 2003. [11] S. S. Rappaport, “The Multiple-call hand-off problem in high-capacity cellular communication System,” IEEE Transactions on Vehicular Technology, Vol. 40, No. 3, p.p. 546-557, 1991. [12] S. Nanda, “Teletraffic models for urban and suburban microcells: cell sizes and handoff rates,” IEEE Transactions on Vehicular Technology, Vol. 42, No. 4, p.p 673-682, 1993.
Type of Medium:
Online Resource
ISSN:
2223-0440
DOI:
10.5339/jlghs.2015.itma.55
Language:
English
Publisher:
Hamad bin Khalifa University Press (HBKU Press)
Publication Date:
2015
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