Effects of Signaling on the Performance of Directed Diffusion Routing Protocol
Authors: Apidet Booranawong
Abstract:
In an original directed diffusion routing protocol, a sink requests sensing data from a source node by flooding interest messages to the network. Then, the source finds the sink by sending exploratory data messages to all nodes that generate incoming interest messages. This protocol signaling can cause heavy traffic in the network, an interference of the radio signal, collisions, great energy consumption of sensor nodes, etc. According to this research problem, this paper investigates the effect of sending interest and exploratory data messages on the performance of directed diffusion routing protocol. We demonstrate the research problem occurred from employing directed diffusion protocol in mobile wireless environments. For this purpose, we perform a set of experiments by using NS2 (network simulator 2). The radio propagation models; Two-ray ground reflection with and without shadow fading are included to investigate the effect of signaling. The simulation results show that the number of times of sent and received protocol signaling in the case of sending interest and exploratory data messages are larger than the case of sending other protocol signals, especially in the case of shadowing model. Additionally, the number of exploratory data message is largest in one round of the protocol procedure.
Keywords: Directed diffusion, Flooding, Interest message, Exploratory data message, Radio propagation model.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1335822
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[1] C. Intanagonwiwat, R. Govindan, and D. Estrin, “Directed Diffusion for Wireless Sensor Networking”, IEEE/ACM Transactions on Networking, vol. 11, no. 1, pp. 2-16, February, 2003.
[2] I. F. Akyildiz, W. Su, Y. Sankarasubramanism, and E. Cayiric, “Wireless Sensor Networks: a Survey,” Computer Networks, Elsevier, vol. 38, no. 4, pp. 393-422, 2002.
[3] L. Zhiyu and S. Haoshan, “Design of Gradient and Node Remaining Energy Constrained Directed Diffusion Routing for WSN,” in Proc. International Conference on Wireless Communications, Networking and Mobile Computing, pp. 2600-2603, September, 2007.
[4] C. Yanrong and C. Jiaheng, “An Improved Directed Diffusion for Wireless Sensor Networks,” in Proc. International Conference on Wireless Communications, Networking and Mobile Computing, pp. 2380-2383, September, 2007.
[5] J. Jang, “A Study on a Sequenced Directed Diffusion Algorithm for Sensor Networks,” in Proc. the 9th International Conference on Advanced Communication Technology, pp. 679-683, February, 2007.
[6] A. Booranawong and W. Teerapabkajorndet, “Reduction of Exploratory Data Messages on Directed Diffusion in Mobile Wireless Sensor Networks,” in Proc. the 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-2009), pp. 996-999, 2009.
[7] N. Hu and D. Zhang, “Source Routing Directed Diffusion in Wireless Sensor Networks”, Asia Network for Scientific Information, Information Technology Journal, vol. 5, no. 3, pp. 534-539, 2006.
[8] J. Tang, S. Dai, J. Li, and S. Li, “Gossip-based Scalable Directed Diffusion for Wireless Sensor Networks”, International Journal of Communication Systems, vol. 24, no. 11, pp. 1418-1430, 2011.
[9] S. Gowrishanker, T.G. Basavaraju, and S.K. Sarker, “Effect of Random Mobility Models Pattern in Mobile Ad hoc Networks,” IJCSNS International Journal of Computer Science and Network Security, vol.7, no.6, June, 2007.
[10] C. Bettstetter, G. Resta, and P. Santi, “The Node Distribution of the Random Waypoint Mobility Model for Wireless Ad Hoc Networks,” IEEE Transactions on Mobile Computing, vol. 2, no. 3, pp. 257-269, July-September 2003.
[11] “The Network Simulator-ns2,” http://www.isi.edu/nsnam/ns/.
[12] I. K. Eltahir, “The Impact of Different Radio Propagation Models for Mobile Ad hoc NETworks (MANET) in Urban Area Environment,” in Proc. the 2nd International Conference on Wireless Broadband and Ultra Wideband Communications (AusWireless 2009), August, 2007.
[13] A. Booranawong and W. Teerapabkajorndet, “Impact of Radio Propagation on the Performance of Directed Diffusion Routing in Mobile Wireless Sensor Networks,” in Proc. International Conference on Embedded Systems and Intelligent Technology (ICESIT-2009), 2009.
[14] P. Agrawal and N. Patwari, “Correlated Link Shadowing Fading in Multi-Hop Wireless Networks”, IEEE Transactions on Wireless Communications, vol. 8, no. 8, pp. 4014-4036, August, 2009.
[15] Y.R. Tsai, “Sensing Coverage for Random Distributed Wireless Sensor Networks in Shadowed Environments”, IEEE Transactions on Vehicular Technology, vol. 57, no. 1, pp. 556-564, January, 2008.
[16] K.E. Kannammal and T. Purusothaman, “Performance of Improved Directed Diffusion Protocol for Sensor Networks under Different Mobility Models”, Journal of Computer Science, vol. 8, no. 5, pp. 694-700, 2012.
[17] K.E. Kannammal and T. Purusothaman, “New Interest Propagation Mechanism in Directed Diffusion Protocol for Mobile Sensor Networks”, European Journal of Scientific Research, vol. 68, no. 1, pp. 36-42, 2012.