Pragmatic Revision on Diverse Mobility Managing Patterns

Abstract

An Important issue in the design of a mobile computing system is how to manage the real-time locations of mobile clients. Now-a-days the existing schemes like POFLA, UPBLA, MIPN are not scalable and not suitable to the new mobile computing applications. Here a new dynamic history based structure is proposed in which the location information of the mobile clients within a cell is managed by the reporting cell. The mobility pattern, which are stored in various cells are used for searching mobile clients. All the existing schemes have the problem of heavy location update overhead and long search delay hence these are not suitable to the system which is supporting real-time queries.

The main aim of this paper is to appraise the performance of various existing systems used for mobile location identification. The total cost of the above three existing systems is compared with our new system based on mobility pattern. The total cost can be measured in terms of total number of data routed for a particular period of time, total number of registration time and location time taken to access a data with CMR. Various factors used to measure the performance are call-to-mobility ratio, locating time ratio, the update cost ratio, time-data routed ratio. This cost can be computed and evaluated in three types of distributions viz uniform distribution, linear distribution and exponential distribution to find whether there is any deviation. During majority of the operations, the newly developed scheme is superior.

The performance can be tested by generating random data sets for number of generations from 500 to 1,000, the network size taken was 4 x 4, 6 x 6 and 8 x 8. The new system can be benefitted if number of generations and the size of network are increased. The following are the contributions of this research: Mobility Agent (MA) based on activity rate of user and adaptive paging for location management. Reduced Location Update and Packet Delivery Costs for Fixed Mobility Pattern Mobile Users. Reduce Regional Registration and Data Packets Delivery Costs. Hybrid Location Management Scheme Based on Mobility Pattern of the Mobile User