Abstract
Vehicular sensor networks have emerged as a new wireless sensor network paradigm that is envisioned to revolutionize the human driving experiences and traffic control systems. Like conventional sensor networks, they can sense events and process sensed data. Differently, vehicular sensors are equipped on vehicles such as taxies and buses. Thus, data acquisition is a hot issue which needs more attention when the routing protocols developed for conventional wireless sensor networks become unfeasible. In this paper, we propose a robust urban data acquisition routing approach, named Multi-hop Urban data Requesting and Dissemination (MURD) scheme. It consists of a base station, several static roadside replication nodes and many moving vehicles. They work together to realize the real-time data communications. The simulation results show that the proposed MURD is a flexible data acquisition routing approach which outperforms conventional approaches in terms of packet delivery ratio and data communication delay.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Nandan, A., Das, S., Pau, G., Gerla, M., Sanadidi, M.Y.: Co-operative downloading in vehicular ad-hoc wireless networks. In: Proceedings of IEEE WONS, St. Moritz, Switzerland, pp. 32–41, January 2005
Nandam, A., Tewari, S., Das, S., Pau, G., Gerla, M., Kleinrock, L.: Ad-Torrent: delivering location cognizant advertisements to car network. In: Proceedings of IFIP WONS, Les Menuires, France, January 2006
Xu, Q., Mak, T., Ko, J., Sengupta, R.: Vehicle-to-vehicle safety messaging in DSRC. In: Proceedings of ACM VANET, Philadelphia, PA, pp. 19–28, October 2004
Ott, J., Kutscher, D.: A disconnection-tolerant transport for driven internet environments. In: Proceedings of IEEE INFOCOM, Miami, FL, pp. 1849–1862, April 2005
Lee, U., Magistretti, E., Zhou, B., Gerla, M., Bellavista, P., Corradi, A.: Mobeyes: smart mobs for urban monitoring with a vehicular sensor network. IEEE Wirel. Commun. 13(5), 52–57 (2006)
Akyildiz, F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A survey on sensor networks. IEEE Commun. Mag. 40, 102 (2002)
Kahn, J.M., Katz, R.H., Pister, K.S.J.: Next century challenges: mobile networking for smart dust. In: IEEE International Conference on Mobile Computing and Networking, pp. 270–278, August 1999
Li, F., Wang, Y.: Routing in vehicular ad hoc networks: a survey. IEEE Veh. Technol. Mag. 2, 12–22 (2007)
Lim, K.W., Jung, W.S., Ko, Y.-B.: Multi-hop data dissemination with replicas in vehicular sensor networks. In: VTC Spring 2008 IEEE Vehicular Technology Conference, pp. 3062–3066, May 2008
Kong, F., Tan, J.: A collaboration-based hybrid vehicular sensor network architecture. In: International Conference on Information and Automation, ICIA 2008, pp. 584–589, June 2008
Takagi, H., Kleinrock, L.: Optimal transmission ranges for randomly distributed packet radio terminals. IEEE Trans. Commun. 32(3), 246 (1984)
The Network Simulator – ns-2 (2010). http://www.isi.edu/nsnam/ns
Perkin, C., Belding-Royer, E., Das, S.: Ad Hoc On-Demand Distance Vector (AODV) routing. IETF Experimental RFC, MANET Working Group, RFC 3562, July 2003
Lochert, C., Hartenstein, H., Tian, J., Herrmann, D., Mauve, M.: A routing strategy for vehicular ad hoc networks in city environments. In: Proceedings of IEEE Intelligent Vehicles Symposium (IV2003), pp. 156–161, June 2003
Acknowledgements
This research work is supported by the Fundamental Research Funds for the Central Universities under Grant 2019B22214, and supported in part by the National Natural Science Foundation of China under Grant 61801166; it was also supported by Changzhou Sci. and Tech. Program under Grant CJ20180046.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Meng, L., Dong, Z., Wang, Z., Cheng, Z., Su, X. (2019). Urban Data Acquisition Routing Approach for Vehicular Sensor Networks. In: Li, S. (eds) Green, Pervasive, and Cloud Computing. GPC 2018. Lecture Notes in Computer Science(), vol 11204. Springer, Cham. https://doi.org/10.1007/978-3-030-15093-8_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-15093-8_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-15092-1
Online ISBN: 978-3-030-15093-8
eBook Packages: Computer ScienceComputer Science (R0)