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.