SMNBMQR: optimisation of sleep schedules in multimedia networks via bioinspired modelling for QoS-aware routing operations

In this paper, a bioinspired model for sleep-scheduled multimedia networks is suggested in order to increase this scalability while preserving superior routing performance. The proposed model uses instantaneous node metrics such as node-to-node distance, residual energy levels, and connection quality to create initial routes. For the assessment of route fitness, these variables are paired with temporal performance measurements such as packet delivery ratio, throughput, packet priority, and temporal connection quality. In order to find the best route between a given pair of source and destination nodes, several routing options are assessed using a genetic algorithm (GA) model based on fitness value. The suggested approach is able to decrease end-to-end communication latency, energy consumption, and delay jitter because it incorporates temporal performance indicators with sleep scheduling. Additionally, when we compared several state-of-the-art methods, the suggested model can enhance network throughput and packet delivery performance.