The heavy traffic load at peak time cause frequent congestion and call dropping in wireless cellular network which demands an intelligent way of handover management schemes for various calls in load balancing and resource sharing. The cellular network service provider currently facing certain obstacle in load balancing and resource sharing for mobile users. So for various call handover management schema that have been proposed for load balancing and sharing scheme are not efficient to minimizing the call drop in cellular communication. In this paper, we proposed an intelligent schema for load balancing and sharing in handover. The simulation results shows that the proposed scheme would able achieve satisfactory level in call drop optimization through handover management that concerning load balancing and sharing under heavy peak traffic load.

Abstract-n wireless media, congestion is usual phenomenon that arises due abruptly raised subscribers demand to establish connections congruently in particular cell at mean real time. Generally, the congestion problem occurs in cellular network traffic and almost persists in every generation. Every mobile network operators is facing this problem every day and struggling to resolve this issue but not being success yet. As more advance cellular devices are being in demand and its users are also being increasing which turns to demand larger bandwidth requirements from cellular subscriber. Presently for cellular network, both at infrastructures level and manual configuration, the network management strategy founds to be inefficient to resolve these issues effective way. While trying to resolve, at certain critical peak hours and occasions, situation gets worse. Since, every cellular operator are being facing strong criticism from both user and regulating authorities on this issue. An effort from subscriber's end is to done only minor infrastructural changes to operate and maintain the network at low cost which found to ineffective and being failed to handle the communication demands of higher Quality of Service (QoS). One way of handling congestion would be through hardware amendment like sectorial design, cell partition, or some software enabled functions use to organize to automate the configuration, optimize and maintenance of cellular networks, But these changes involves heavy investment by subscriber which in turns to cost from user for its services. Concerning on this unresolved issue, our prime motive is to forward innovative effort work that could effectively and sustainable to manage the congestion for long duration. In this paper, we first review the various load sharing and balancing techniques those are used to resolve traffic congestion occurrences in mobile networks. And further presents an algorithm design that would helpful to develop a reliable, flexible, highly efficient load balancing and sharing system. The system based on proposed schema could manage the cell network resources with special emphasis techniques having suitable self optimization feature for future wireless cellular networks.

No abstract

In transparent database data are stored at different severs which is easily visible and accessible to every user. End users usually access information through applications that intermediate between the user and the database. These applications provide interface to access the database system i.e. transparent to end users. This is expected and even logical aspect of the nature of most database management systems (DBMS). There is always possibility of data loss and data theft by an unauthorized user. Now-a-days research on Distributed database management system (DDBMS) found to best match to handling the transparent type database storage and processing rules via communication links. In this paper, we have introduced a method of encrypting the transparent database files and data. The prime purpose here is to prevent an unauthorized access to the data by restoring the files from another server. These physical files include the database file (.mdf), the transaction log file (.ldf) and the backup files (.bak).