BAYESIAN ESTIMATION FOR TARGET TRACKING IN MOBILE SENSOR NETWORK

BAYESIAN ESTIMATION FOR TARGET TRACKING IN MOBILE SENSOR NETWORK

Abstract

This mobile network will support terminal mobility, personal mobility, and service provider portability, making global roaming seamless. A location-independent Personal Telecommunication Number (PTN) scheme is conducive to implementing such a global mobile system. However, the non geographic PTNs coupled with the anticipated large number of mobile user’s in future mobile networks may introduce very large centralized databases. This necessitates research into the design and performance of high-throughput database technologies used in mobile systems to ensure that future systems will be able to carry efficiently the anticipated loads. This is scalable, robust, efficient location database architecture based on the location- independent PTNs.

The proposed multi tree database architecture consists of a number of database subsystems, each of which is a three-level tree structure and is connected to the others only through its root. By exploiting the localized nature of calling and mobility patterns, the proposed architecture effectively reduces the database loads as well as the signaling traffic incurred by the location registration and call delivery procedures. In addition, two Memory-resident database indices, memory-resident direct file and T-tree are proposed for the location databases to further improve their throughput. Analysis model and numerical results are presented to evaluate the efficiency of the proposed database architecture. Results have revealed that the proposed database architecture for location management can effectively support the anticipated high user density in the future mobile networks.

Existing System:

The previous mobile network was use different server and each has decentralized databases. A local server is stored only its area user’s information, but not stored the other area user’s information. For example Chennai mobile user call to the Srilanka user means, First it search in the local mobile user and after finished search in India and then find it in the Srilanka server. It takes more time to find the user location because of decentralized databases. The communication traffic also occur when search client side.

Proposed System:

In proposed system, the mobile network search only in server but not in client mobile. Because all user’s information maintained in centralized database server. It is avoid the communication traffic, because this is only search in server part and easily find the user.

This is a scalable, robust, efficient location database architecture based on the location-independent PTNs. The proposed multi tree database architecture consists of a number of database subsystems, each of which is a three-level tree structure and is connected to the others only through its root. By exploiting the localized nature of calling and mobility patterns, the proposed architecture effectively reduces the database loads as well as the signaling traffic incurred by the location registration and call delivery procedures.

In addition, two memory-resident database indices, memory-resident direct file and T-tree are proposed for the location databases to further improve their throughput. Analysis model and numerical results are presented to evaluate the efficiency of the proposed database architecture. Results have revealed that the proposed database architecture for location management can effectively support the anticipated high user density in the future mobile networks.

System Requirement:

SOFTWARE REQUIREMENTS

n  VS .NET 2003

n  SQL SERVER 2000

n  Windows XP.

HARDWARE REQUIREMENTS

n  000Hard disk              :           40 GB

n   RAM                          :           512mb

n   Processor                    :           Pentium IV

n  Monitor                       :           17” Color monitor