DTN QoS metrics and fair resources management model

Delay Tolerant Network (DTN) works in challenging conditions where delays are highly expected and links disconnections are very likely. Quality of service (QoS) provisioning in this kind of environment is important. Some of the traditional QoS metrics of bit rate, delay, jitter, packet dropping probability and/or bit error rate are applicable metrics but we think that there are other important metrics affecting the DTN QoS. The highest resource managements will ensure maximum resource utilizations which can be estimated by measuring the network delivery effectiveness. Furthermore, the limited resources will lead to congestion which can be tolerated by fair resource distribution. Therefore, two additional DTN QoS metrics are explored, namely the delivery probability and the fairness index which we think is more practical metrics for DTN. We propose a fair resource management model (FRMM) which will enhance the DTN QoS by providing better delivery probability and higher fairness index compared with same scenario lacking our model. The simulation results show improvements by up to 40 % in the delivery probability and up to 30% in the fairness index.