Construction of an Analytical Model to Optimize the Mobility Cost Using Fuzzy Graph

Abstract

ABSTRACT newline newlineTo optimize the total mobility cost, a new mobility management plan based on the mobility pattern was proposed. The total cost is measured in terms of total number of data routed for a particular period of time, total number of registration time and location time taken to access a data with call to mobility ratio. The conventional routing strategies for the wired networks cannot be adopted for these highly mobile networks. Fuzzy graph is an important area of research that is the backbone of any network with ambiguity. Mobility have large amounts of data with ambiguity and can thus be characterized by fuzzy graphs. Finally considering the path stability,an efficient Path Consistancy Channel Assignment (PCCA) Mobile Adhoc Network has been presented. The method identifies the list of routes between the source and destination. In the second stage, for each route, the method estimates path defeat, signal strength, sending power value, receiving power value and stable path and stable link values. Using the values, the method estimates the weight based on the fuzzy values. The proposed algorithm improves the performance of routing in mobile adhoc network. All the proposed method has been evaluated for their performance in QoS routing and each of them improve the performance in all the factors considered. newline newline