期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：3
页码：399-412
DOI：10.14257/ijsip.2016.9.3.34
出版社：SERSC
摘要：Congestion control is one of the most important factors in ensuring secure traffic. This paper is a study of Congestion Control in War State Battle Field using cloud sensor for collision detection and prevention. Cloud sensor uses common parameters such as total nodes, minimum speed, maximum speed, available mines (bombs), and distance variation to prevent collision of tanks on the battlefield. The main advantage of cloud sensors is that it allows easily gathering, accessing, processing, storing, sharing and searching for sensor data. Cloud sensors will be placed in a particular space that will notice the fastness and voice of siren at a specific threshold. Existing cloud based traffic control schemes are susceptible to various congestions such as upcoming vehicle control and priority vehicle control. The main reason for success of collision attack is the highest congestion reuse rate. This research based on congestion control in War State Battle Field. Battle Field is the basement of military action and is very substantial for officers to considerate and establishes the entire use of it in the conclusion- making. For evaluation of this approach, a scenario of battlefield has been considered in experimental analysis.The objective of this paper is to develop a new technique for avoiding the traffic collision in battlefield and to evaluate the proposed technique in the Java virtual environment.
