Local Mobility Perceptual Model Based on Fuzzy Logic in MANET

Abstract

As a key pattern in wireless communications, ad hoc is able to improve spectrum utilization andnetwork throughput evidently. Data existed in ad hoc network get better security because it willnever be transmitted through the public network. However, there are significant gaps, in terms ofmovement speeds, areas, etc., among multiple devices causing network instability problems, whichtraditional routing protocols lack necessary considerations about. The obvious influence is performancereduction or transmission failure. Therefore, we propose a perceptual model based on fuzzylogic to obtain degree of mobility in local region. Establishment procedures include motion perception,parameters fuzzification, and output normalization. That is, nodes observe adjacent nodes andcalculates topology change rate and average speed of neighbors. Then using membership functionfuzzify the relationship between above parameters and mobility level. Finally, acquiring the normalizedoutput with the help of centroid formula. Relevant modifications of a reprehensive protocolare implemented to optimize its robustness in complex situations. Simulation results illustrate thatthe upgraded protocol can maintain high packet arrival rate and acceptable latency in various experiments,which proves the usability and efficiency of our model in different mobile scenarios.