PERFORMANCE EVALUATION OF WIRELESS SENSOR NETWORKS FOR MOBILE EVENT AND MOBILE SINK

Authors

  • TAO YANG Fukuoka Institute of Technology 3-30-1 Wajiro-higashi, Higashi-ku, Fukuoka, 811-0295, Japan
  • MAKOTO IKEDA Center for Asian and Pacific Studies, Seikei University 3-3-1 Kichijoji-Kitamachi, Musashino-Shi, Tokyo 180-8633, Japan
  • LEONARD BAROLLI Department of Information and Communication Engineering, Fukuoka Institute of Technology 3-30-1 Wajiro-higashi, Higashi-ku, Fukuoka, 811-0295, Japan
  • FATOS XHAFA Department of Languages and Informatics Systems, Technical University of Catalonia C/Jordi Girona 1-3, 08034 Barcelona, Spain
  • ARJAN DURRESI Department of Computer and Information Science Indiana University Purdue University at Indianapolis (IUPUI) 723 W. Michigan Street SL 280 Indianapolis, IN 46202, USA

Keywords:

WSNs, Mobile Event, Mobile Sink, Goodput, Depletion

Abstract

Extending lifetime and energy efficiency are important objectives and challenges inWire- less Sensor Networks (WSNs). In large scale WSNs, when the nodes are near to the sink they consume much more energy than the nodes far from the sink. In our previous work, we considered that the sink node was stationary and only event node was moving in the observation field. In this work, we consider both cases when the sink node and event node are moving. For the simulations, we use TwoRayGround and Shadowing radio models, lattice topology and AODV protocol. We compare the simulation results for the cases when the sink node and event node are mobile and stationary. The simulation results have shown that the goodput of TwoRayGround is better than Shadowing in case of mobile event, but the depletion of Shadowing is better than TwoRayGround in case of mobile event. The goodput in case of mobile sink is better than stationary sink when the transmission rate is lower than 10pps. For TwoRayGround radio model, the depletion in case of mobile sink is better than stationary sink when the number of nodes is increased.

 

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References

S. Giordano and C. Rosenberg. Topics in ad hoc and sensor networks. IEEE Communication

Magazine, 44(4):97-97, 2006.

J. N. Al-Karaki and A. E. Kamal. Routing Techniques in Wireless Sensor Networks: A Survey.

IEEE Wireless Communication, 11(6):6-28, December, 2004.

T. Yang, G. De Marco, M. Ikeda, and L. Barolli. A case study of event detection in lattice

wireless sensor network with Shadowing-induced radio irregularities. In Proceedings of The Fourth

International Conference on Advances in Mobile Computing and Multimedia (MoMM), pages 241-

T. Yang, M. Ikeda, G. De Marco, L. Barolli, F. Xhafa. Performance Evaluation of a Wireless

Sensor Network Considering Mobile Event. Proc. of FCISIS-2009/CISIS-2009, Fukuoka, Japan,

pp. 1169-1171, March 2009.

G. W.-Allen, K. Lorincz, O. Marcillo, J. Johnson, and M. Ruiz an J. Lees. Deploying a wireless

sensor network on an active volcano. IEEE Internet Computing, 10(2):18-25, March 2006.

C. Cooper. A note on the connectivity of 2-regular digraphs. Random Structures Algorithms,

:469-472, 1993.

C. Perkins, editor. Ad Hoc Networks. Addison-Wesley, 2001.

Network Simulator 2. http://www.isi.edu/nsnam/ns/.

Crossbow technology, inc. http://www.xbow.com/.

T.S. Rappaport. Wireless Communications. Prentice Hall PTR, 2001.

D. X. Wei. Speeding up ns-2 scheduler. http://netlab.caltech.edu/ weixl/technical/ns2patch,

September 2005. California Institute of Technology.

T. Yang, G. De Marco, M. Ikeda, and L. Barolli. Performance Evaluation of Reactive and Proactive

Protocols for Ad-Hoc Sensor Networks Using Different Radio Models. Journal of Interconnection

Networks (JOIN), Vol.8, No. 4, pp. 387-405, December 2007.

G. Zhou, T. He, S. Krishnamurthy and J. A. Stankovic. Models and solutions for radio irregularity

in wireless sensor networks. ACM Transaction on Sensors Network, 2(2):221-262, 2006.

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Published

2010-01-11

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