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 and
network throughput evidently. Data existed in ad hoc network get better security because it will
never be transmitted through the public network. However, there are significant gaps, in terms of
movement speeds, areas, etc., among multiple devices causing network instability problems, which
traditional routing protocols lack necessary considerations about. The obvious influence is performance
reduction or transmission failure. Therefore, we propose a perceptual model based on fuzzy
logic to obtain degree of mobility in local region. Establishment procedures include motion perception,
parameters fuzzification, and output normalization. That is, nodes observe adjacent nodes and
calculates topology change rate and average speed of neighbors. Then using membership function
fuzzify the relationship between above parameters and mobility level. Finally, acquiring the normalized
output with the help of centroid formula. Relevant modifications of a reprehensive protocol
are implemented to optimize its robustness in complex situations. Simulation results illustrate that
the 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.