With the increasing number of mobile terminals, it is a challenge how to reduce the cost and provide fast and efficient call delivery to the mobile terminals. In the existing system, the call is connected on the basis of the registration of their identity in the databases known as home location register and visitor location register. Here the mobility management is accomplished by a two-tier hierarchical architecture consisting of Home Location Register (HLR) and Visitor Location Register (VLR). It leads to a high volume of signalling traffic and it is suited up to a certain level of call to mobility ratio. The main aim of this paper is to upgrade the formula used for calculating the search cost and location updation cost. By this upgradation, the path traversed from one mobile system to other is reduced. Hence the time taken to retrieve the data is also minimized. Hence the performance can be improved.
M. Ponvadivu : Research Scholar, Dept. of Computer Science,
Bharathiar University, Coimbatore.
Dr. S. Thabasu Kannan : Principal, Pannai College of Engg. & Tech.,
Sivagangai – 630 561, Tamilnadu, India
Mobility, Home Location, Visitor Location, Reporting Cell, Vicinity
In this paper, we propose a mobility pattern based location tracking scheme based, which efficiently reduces the location updates and searching cost in the mobile networks which adapts the prediction for locating mobile users according to theirmobility patterns and call arrival frequency. Thisscheme definitely keeps hit ratio high. High hitratio minimizes total paging cost because most of the timeuser found in its prediction cell location which helps tomaintain paging cost. So the total cost also becomes less ascompare to other method. If we are using any one optimization algorithm like Genetic algorithm, ACO, PSO, Tabu search, surely we can control the total cost.
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