Abstract / Description of output
We propose an analytical model for differentiated service in a wireless mobile ad-hoc network (MANET) with a Rayleigh-fading channel. The system is modelled using a multidimensional Markov chain to support real-time applications. It is also used to demonstrate that various types of data arrival process can be modeled by a Markov modulated arrival process (MMAP). Numerical analyses are drawn to estimate the packet drop probability, effective throughput and packet queuing delay. We validate the scheme by simulation under different link utilizations using the IEEE 802.11b DCF ad hoc model. Analytical and simulation results are compared to determine the accuracy of the presented methods. Both show that better quality-of-service (QoS) can be achieved for high priority traffic.
| Original language | English |
|---|---|
| Title of host publication | IEEE 60th Vehicular Technology Conference, 2004. (VTC 2004-Fall) |
| Pages | 2754-2758 Vol. 4 |
| Volume | 4 |
| DOIs | |
| Publication status | Published - 1 Sept 2004 |
Keywords / Materials (for Non-textual outputs)
- DiffServ networks, Markov processes, Rayleigh channels, ad hoc networks, delay estimation, mobile radio, probability, quality of service, queueing theory IEEE 802.11b, MANET, Markov modulated arrival process, QoS, Rayleigh-fading channel, differentiated services, effective throughput, link utilization, multidimensional Markov chain, packet drop probability, packet queuing delay, quality-of-service, real-time applications, wireless mobile ad-hoc network