Dynamic Range Method using Hiddenmarkov Models in RSA and DSA Algorithm

Dynamic range approach has become a highestlevel of research field from last some year. The initiative beyondthis process researched field is the reality that someparticularrange are used in current environment and also whichis used or deploy in an in effectivemanner. Theoverall wirelessvarious range are allocated and fixed, but it is not need to beused. So, at this time the requirement for research in variouswireless technologies expanding and there is no space for thewireless various rangesto assignimportant frequencybandsrelated to the future wireless technologies. Therefore, thisis a reason to increase the use of the various ranges. To targetthis, we must be calculating the method for sharing the range.Our purpose to find out the wireless sensors’ techniques,artificial Intelligencetechniques, cloud computing techniques forupdating verification time of dynamic range approach. So, weused in this paper the Hidden Markov Model for defining thevarious types of range characteristics and forecasttherangesample that will be obtained in future related methods.This forecast is used to define the RSA and DSA in better itsverification time. The method for utilization HMM technique forminimizing the verification time of RSA and DSA will beexecuted in NS2 and Matlab simulator