An intelligent multipath optimized link state routing protocol for QoS and QoE enhancement of video transmission in MANETs

Abstract

The instability and limited resources in mobile ad hoc networks (MANETs) make the video transmission over such networks a challenging task. Transmission of video streams through multipath routing protocols in MANETs can enhance the quality of video transmission. To this end, we propose an extension of MP-OLSR (multipath optimized link state routing protocol), named FQ-MP-OLSR (fuzzy based quality of service MP-OLSR), which integrates two fuzzy systems. The first receives as inputs three quality of service (QoS) links metrics: delay, throughput and signal to interference plus noise ratio (SINR) and returns as output multi-constrained QoS metric used to find the best paths. The second fuzzy system is applied to adapt cost functions used to penalize paths previously computed by Dijkstra's algorithm. To schedule multimedia traffic among heterogeneous multiple paths, FQ-MP-OLSR integrates also the weighted round-robin (WRR) scheduling algorithm, where the path weights, needed for scheduling, are computed using the multi-constrained QoS metric provided by the first fuzzy system. These mechanisms allow FQ-MP-OLSR to improve video QoS and QoE (quality of experiment), against the MP-OLSR that uses classical mechanisms such as hop count as single routing metric, cost functions without adaptation and round-robin (RR) as scheduling algorithm. Implementation and simulation experiments with Network Simulator NS2 are presented in order to validate our proposed approach. The results show that FQ-MP-OLSR achieves a significant improvement of the video streaming quality in term of QoS and QoE.