IEEE NS2 PROJECTS ABSTRACT 2016-2017 EFFICIENT AND CONSISTENT PATH LOSS MODEL FOR MOBILE NETWORK SIMULATION AIM:- To provide the enhanced breathing space to the mobile network environment via new proposed model called Double Regression (DR) that allows both the sender and the receiver to move without sudden change in path loss. ABSTRACT:- In mobile network environment all the data transmissions purely depends on the quality of wireless channels. Each packet accuracy is dependent on the communication channels. Path loss is a major issue in every wireless mobile network scenario. The past approach path loss models are inaccurate, which requires excessive measurement or computational overhead, and/or often cannot be made to represent a given environment. The proposed framework contributes an adaptable way misfortune demonstrate that uses a novel methodology for spatially intelligible introduction from accessible adjacent channels to permit precise and effective demonstrating of way misfortune. We show that the proposed model, called Double Regression (DR), generates a correlated space, allowing both the sender and the receiver to move without abrupt change in path loss. Joining DR with a transient fading model, for example, Rayleigh fading gives a precise and effective channel demonstrate that we coordinate with the NS-2 simulator. In the proposed approach we utilize the estimations to accept the precision model for various situations as well as additionally demonstrate that there is significant effect on reproduction conduct when way misfortune is displayed precisely. Apart from the paper we improve the path consistency along with data security techniques such as AES and DES; we combine both these algorithms and form a proposed algorithm called Visual AES to make the data more secure while transmission. INTRODUCTION:- Simulation is widely used for performance evaluation in wireless and mobile network research. The major advantages of simulation include flexibility in modeling scenarios, controllability of changing parameters that are difficult to change in practice, observability compared to testbeds or emulation studies, and repeatability. However, the validity of simulation models for wireless networks has been criticized due primarily to the poor accuracy of wireless channel models. There are other aspects of wireless network simulation that have also come under criticism including the use of unrealistic mobility models. In response to this criticism, more accurate and realistic temporally fading channel models accounting dynamic components for signal strength due to mobility and multipath effect, e.g., Rayleigh-Ricean fading and Nakagami fading, have been implemented in network simulators. However, these models account for the fast fading component of the channel model, which exhibits temporal correlation but little spatial correlation. On the other hand, the stable component of a signal is determined by shadows from large objects in an environment; this path loss component, is still commonly modeled assuming idealized distributions. However, path loss has been shown to be spatially correlated as RF shadows from large objects tend to have similar effect on nearby channels. REQUIREMENT SPECIFICATION:- System Requirements Hardware Requirements System : Pentium IV 2.4 GHz Hard Disk : 40 GB Ram : 512 Mb Software Requirements:- Operating system : Windows / Linux Technology Used : NS2 CONCLUSION:- Accurate and efficient channel models are critical for improving the fidelity of wireless network simulation. In this system, we considered the problem of path loss channel models. Path loss is affected by the RF shadows in the environment. Models used in most popular packet simulators are inaccurate because they do not consider the impact of RF shadows on a link such as corridors or building shadows. On the other hand, accurate models can be built using either detailed site-surveys (requiring a prohibitive number of measurement experiments) or ray tracing (which is computationally very difficult and requires precise GIS). Thus, there is a need for accurate and efficient path loss models. In response to this need, we proposed a new path loss for a geographically accurate, efficient, and flexible path loss model. The key idea of the proposed model is to estimate a plausible value for new channels when both sender and receiver move. It can also be used to substantially reduce the cost of ray tracing and still obtain plausible models of the environment. Both of these applications represent a considerable benefit over the state of the art in this area. DR provides for the first time a spatially-coherent, low-overhead, and site-faithful path loss simulation model.