Fuzzy logic based packet scheduling algorithm for Mobile ad-hoc Network with a realistic propagation model

in this paper, we propose a priority based
scheduling algorithm for Mobile Ad-hoc Network (MANET)
using fuzzy logic. The fuzzy system has three inputs: data
rate, Signal-to-Noise Ratio (SNR) and queue size. The fuzzy
system was verified using MATLAB fuzzy toolbox and the
performance of the algorithm was evaluated using OPNET
simulator. The results were compared to an existing fuzzy
scheduler. The measuring metrics which form the basis for
the performance evaluation were end-to-end delay,
throughput and packet delivery ratio. The proposed
scheduler performed better than the existing scheduler; an
average improvement of 37% for end-to-end delay, 56% for
throughput and 57% for the packet delivery ratio. However,
this comes at the cost of additional computational
complexity. The existing fuzzy scheduler injects an
additional packet processing time of 46ns whilst the
proposed scheduler injects 165ns.