Name
Title | ||
|---|---|---|
Two-hop delay analysis in cognitive machine-to-machine networks with poisson point process model |
Abstract | ||
|---|---|---|
End-to-end delay is an important metric for network performance. This paper studies the end-to-end delay in a two-hop Cognitive Machine-to-Machine (CM2M) network, where a pair of primary users (PUs) coexist with a secondary (SR) network with many two-hop line M2M communication links. The occupancy of the licensed channel by PUs is modelled as a continuous-time two-state (busy and idle) Markov process. Secondary (SR) network is composed of many two-hop line routes, each of which consists of a source node, a relay node and a destination. The locations of the source nodes are assumed to be the realizations of independent Poisson Point Process in each time slot. Secondary users (SUs) deploy a combination of TDMA and ALOHA medium access control (MAC) protocol. We first quantify the packet success probability for single-hop when the channel is idle for SUs, where the capture of a packet is determined by signal-to-interference ratio (SIR) experienced by the receiver. We then evaluate the delays of each hop (1st hop and 2nd hop delay) and the two-hop delay. Numerical results show that a better end-to-end performance could be obtained through proper network parameters settings. Simulation results verify the correctness of theoretical analysis. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICT.2014.7575073 | 2014 21st International Conference on Telecommunications (ICT) |
Keywords | Field | DocType |
SIR,signal-to-interference ratio,packet success probability,ALOHA MAC protocol,ALOHA medium access control protocol,TDMA,continuous-time two-state Markov process,licensed channel occupancy,two-hop line M2M communication link,secondary network,PU pair,primary user pair,CM2M network,end-to-end delay,Poisson point process model,cognitive machine-to-machine network,two-hop delay analysis | End-to-end delay,Network delay,Markov process,Computer science,Network packet,Computer network,Real-time computing,Time division multiple access,Routing protocol,Processing delay,Network performance | Conference |
ISBN | Citations | PageRank |
978-1-4799-5139-0 | 0 | 0.34 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gao Jing | 1 | 1 | 2.03 |
| Changchuan Yin | 2 | 548 | 56.53 |
| Ran Cai | 3 | 8 | 1.60 |