Traffic information collecting algorithms for road selection decision support in vehicle ad hoc networks

被引:1
作者
Li, Demin [1 ]
Li, Qiuran [2 ]
Wang, Jiacun [3 ]
机构
[1] College of Information Science and Technology, Donghua University
[2] School of Electronic Science and Engineering, Southeast University, Nanjing, Jiangsu Province
[3] Department of Computer Science and Software Engineering, Monmouth University, NJ 07762, West Long Branch
关键词
Multihop packet; Packet delay; Road selection support; Traffic density detection; VANET; Vehicle ad hoc network;
D O I
10.1504/IJSPM.2012.047862
中图分类号
学科分类号
摘要
Traffic information collection is critical issue for vehicle drivers. How to gather the traffic information is a challenge problem. We know that the more the traffic density is, the faster the data delivery is in a vehicle ad hoc network. We also know that the more traffic density is, the more traffic jam probability maybe. So the traffic density is a double edged sword. We may use the road with dense traffic density to transmit road information while use the road with thin traffic density to drive. This paper provides novel ideas to identify traffic density, traffic flow and to support road selection in vehicle ad hoc networks. Using the hop counter, speed detector in packet header, we give traffic density, traffic flow detection algorithm. Consider real time decision of road selection, road dynamic selection algorithm is presented by packet delay. Consider there may be no path to select, all the paths are jammed, carry-and-forward scheme maybe a robust transmit mode in disconnected and delay network, we present a carry-and-forward method to collect road information and predict the road situation in the end. Copyright © 2012 Inderscience Enterprises Ltd.
引用
收藏
页码:50 / 56
页数:6
相关论文
共 15 条
[1]  
Agarwal A., Starobinski D., Little T.D.C., Exploiting downstream mobility to achieve fast upstream message propagation in vehicular ad hoc networks, 2007 Mobile Networking for Vehicular Environments, pp. 13-18, (2007)
[2]  
Bishop R., Intelligent Vehicle Technologies and Trends, (2005)
[3]  
Chen Y., Li D., Wang C., Wang J., Map synchronization and alternatives optimization for firefighters cooperative decision support in ad hoc networks, Journal of Networks, 5, 1, pp. 39-46, (2010)
[4]  
Chen Z.D., Kung H.T., Vlah D., Ad hoc relay wireless networks over moving vehicles on highways, Proceedings of the 2nd ACM International Symposium on Mobile Ad Hoc Networking & Computing, (2001)
[5]  
Cinsdikici M.G., Memis K., Traffic Flow condition classification for short sections using single microwave sensor, EURASIP Journal on Advances in Signal Processing, 2010, (2010)
[6]  
Dietzel S., Elmar B.B., Kargl S.F., A fuzzy logic based approach for structure-free aggregation in vehicular ad-hoc networks, VANET '09, (2009)
[7]  
Goel A., Ramakrishnan K.G., Kataria D., Logothetis D., Efficient computation of delay-sensitive routes from one source to all destinations, Proceedings - IEEE INFOCOM, 2, pp. 854-858, (2001)
[8]  
Greenberg H., An analysis of traffic flow, Operations Research, 7, 1, pp. 79-85, (1959)
[9]  
Intanagonwiwat C., Govindan R., Estfin D., Heidemann J., Silva F., Directed diffusion for wireless sensor networking, IEEE/ACM Transactions on Networking, 11, 1, pp. 2-16, (2003)
[10]  
Kakkasageri M.S., Manvi S.S., Safety information gathering and dissemination in vehicular ad hoc networks: Cognitive agent based approach, CCSIT2011, Part II, CCIS132, pp. 254-264, (2011)