Experimental Evaluation of Consistent Path Loss Models over Mobile Network
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2016-07-13T07:17:29Z
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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 situation. The former methodology path loss models are not much accurate, which requires excessive measurement or computational overhead, and/or cannot be made to signify a specified situation. 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), creates a interrelated space, sanctioning 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 behavior when losses in transmission 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.
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GITANJALI KUMARI, Experimental Evaluation of Consistent Path Loss Models over Mobile Network