Weitere Artikel dieser Ausgabe durch Wischen aufrufen
Today's advanced simulators facilitate thorough studies on VANETs but are hampered by the computational effort required to consider all of the important influencing factors. In particular, large-scale simulations involving thousands of communicating vehicles cannot be served in reasonable simulation times with typical network simulation frameworks. A solution to this challenge might be found in hybrid simulations that encapsulate parts of a discrete-event simulation in an analytical model while maintaining the simulation's credibility. In this paper, we introduce a hybrid simulation model that analytically represents the probability of packet reception in an IEEE 802.11p network based on four inputs: the distance between sender and receiver, transmission power, transmission rate, and vehicular traffic density. We also describe the process of building our model which utilizes a large set of simulation traces and is based on general linear least squares approximation techniques. The model is then validated via the comparison of simulation results with the model output. In addition, we present a transmission power control problem in order to show the model's suitability for solving parameter optimization problems, which are of fundamental importance to VANETs.
Cordis : Production and transport: braking transport growth. October 2003, http://cordis.europa.eu/euroabstracts/en/october03/trans03.htm
Killat M, Schmidt-Eisenlohr F, Hartenstein H, et al.: Enabling efficient and accurate large-scale simulations of VANETs for vehicular traffic management. Proceedings of the 4th ACM International Workshop on Vehicular Ad Hoc Networks (VANET '07), September 2007, Montreal, Canada 29-38. CrossRef
Bianchi G: Performance analysis of the IEEE 802.11 distributed coordination function. IEEE Journal on Selected Areas in Communications 2000, 18(3):535-547. 10.1109/49.840210 CrossRef
Chatzimisios P, Boucouvalas AC, Vitsas V: Performance analysis of IEEE 802.11 DCF in presence of transmission errors. Proceedings of IEEE International Conference on Communications (ICC '04), June 2004 , Paris, France 7: 3854-3858.
Hou T-C, Tsao L-F, Liu H-C: Analyzing the throughput of IEEE 802.11 DCF scheme with hidden nodes. Proceeding of the 58th IEEE Vehicular Technology Conference (VTC '03), October 2003, Orlando, Fla, USA 5: 2870-2874.
Tsertou A, Laurenson DI: Insights into the hidden node problem. Proceedings of International Conference on Wireless Communications and Mobile Computing (IWCMC '06), July 2006, Vancouver, Canada 767-772.
Ekici O, Yongacoglu A: IEEE 802.11a throughput performance with hidden nodes. IEEE Communications Letters 2008, 12(6):465-467. CrossRef
Duffy K, Malone D, Leith DJ: Modeling the 802.11 distributed coordination function in non-saturated conditions. IEEE Communications Letters 2005, 9(8):715-717. 10.1109/LCOMM.2005.1496592 CrossRef
Engelstad PE, Østerbø ON: Non-saturation and saturation analysis of IEEE 802.11e EDCA with starvation prediction. Proceedings of the 8th ACM International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM '05), November 2005, Montreal, Canada 224-233.
Pham PP: Comprehensive analysis of the IEEE 802.11. Mobile Networks and Applications 2005, 10(5):691-703. 10.1007/s11036-005-3363-x CrossRef
Li X, Zeng Q-A: Capture effect in the IEEE 802.11 WLANs with Rayleigh fading, shadowing, and path loss. Proceedings of the IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob $06), June 2006, Montreal, Canada 110-115.
Jiang D, Chen Q, Delgrossi L: Communication density: a channel load metric for vehicular communications research. Proceedings of IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS '07), October 2007, Pisa, Italy 1-8.
The Network Simulator–ns-2 http://www.isi.edu/nsnam/ns/
Chen Q, Schmidt-Eisenlohr F, Jiang D, Torrent-Moreno M, Delgrossi L, Hartenstein H: Overhaul of IEEE 802.11 modeling and simulation in NS-2. Proceedings of the 10th ACM Symposium on Modeling, Analysis, and Simulation of Wireless and Mobile Systems (MSWiM '07), October 2007, Chania, Greece 159-168. CrossRef
IEEE 802.11p/d4.0 : Draft amendment for wireless access in vehicular environments (WAVE). 2008.
Maurer J, Fügen T, Wiesbeck W: Physical layer simulations of IEEE802.11a for vehicle-to-vehicle communications. Proceedings of the 62nd IEEE Vehicular Technology Conference (VTC '05), September 2005, Dallas, Tex, USA 1849-1853.
Taliwal V, Jiang D, Mangold H, Chen C, Sengupta R: Empirical determination of channel characteristics for DSRC vehicle-to-vehicle communication. Proceedings of the 1st ACM International Workshop on Vehicular Ad Hoc Networks (VANET '04), October 2004, Philadelphia, Pa, USA 88. CrossRef
Schmidt-Eisenlohr F, Killat M: Vehicle-to-vehicle communications: reception and interference of safety-critical messages. it - Information Technology 2008, 50(4):230-236. 10.1524/itit.2008.0489
Torrent-Moreno M, Santi P, Hartenstein H: Distributed fair transmit power adjustment for vehicular ad hoc networks. Proceedings of the 3rd Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON '06), September 2006, Reston, Va, USA 2: 479-488.
Simon MK, Alouini M-S: Digital Communication over Fading Channels. John Wiley & Sons, New York, NY, USA; 2004. CrossRef
- An Empirical Model for Probability of Packet Reception in Vehicular Ad Hoc Networks
- Springer International Publishing
EURASIP Journal on Wireless Communications and Networking
Elektronische ISSN: 1687-1499
Neuer Inhalt/© ITandMEDIA, Best Practices für die Mitarbeiter-Partizipation in der Produktentwicklung/© astrosystem | stock.adobe.com