Call for Paper - March 2023 Edition
IJCA solicits original research papers for the March 2023 Edition. Last date of manuscript submission is February 20, 2023. Read More

Energy Consumption Estimation in Cluster based Underwater Wireless Sensor Networks using M/M/1 Queuing Model

Print
PDF
International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 43 - Number 24
Year of Publication: 2012
Authors:
Manijeh Keshtgary
Reza Mohammadi
Mohammad Mahmoudi
Mohammad Reza Mansouri
10.5120/6435-8362

Manijeh Keshtgary, Reza Mohammadi, Mohammad Mahmoudi and Mohammad Reza Mansouri. Article: Energy Consumption Estimation in Cluster based Underwater Wireless Sensor Networks using M/M/1 Queuing Model. International Journal of Computer Applications 43(24):6-10, April 2012. Full text available. BibTeX

@article{key:article,
	author = {Manijeh Keshtgary and Reza Mohammadi and Mohammad Mahmoudi and Mohammad Reza Mansouri},
	title = {Article: Energy Consumption Estimation in Cluster based Underwater Wireless Sensor Networks using M/M/1 Queuing Model},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {43},
	number = {24},
	pages = {6-10},
	month = {April},
	note = {Full text available}
}

Abstract

Underwater Wireless Sensor Networks (UWSN) has attracted significant attention recently. One of the most important issues in these networks is the energy constraint. Battery power in UWSN is limited and usually batteries cannot be easily recharged or changed. Therefore energy saving in this type of networks is vital. Network life time can be estimated by estimating energy consumption of nodes. In this paper, first we propose an analytical model for energy consumption estimation in cluster based underwater wireless sensor networks using M/M/1 queuing model. To the best of our knowledge, this is the first analytical model that represents the underwater cluster head's behavior based on M/M/1 queuing model. We can use this model to investigate the network performance in terms of average energy consumption. Then, we propose an analytical scheme to reduce energy consumption of cluster head nodes by reducing number of transitions between the idle and active states of cluster head nodes based on the number of data packets in the queue. Our analytical model is suitable for delay-tolerant aquatic applications. We validate our analytical model using simulations.

References

  • M. Keshtgari, R. Javidan and R. Mohammadi. March 2012. Comparative Performance Evaluation of MAC Layer Protocols for Underwater Wireless Sensor Networks, Canadian Center of Science and Education, Vol. 6, No. 3;
  • I. F. Akyildiz, D. Pompili, and T. Melodia,. July 2004 Challenges for Efficient Communication in Underwater Acoustic Sensor Networks, ACM SIGBED Review, Vol. 1(1).
  • J. -H. Cui, J. Kong, M. Gerla, and S. Zhou. . May 2006. Challenges:Building Scalable Mobile Underwater Wireless Sensor Networks for Aquatic Applications. Special Issue of IEEE Network on Wireless Sensor Networking.
  • J. Heidemann, W. Ye, J. Wills, A. Syed, and Y. Li . April 2006. Research Challenges and Applications for Underwater Sensor Networking. In IEEE Wireless Communications and Networking Conference, Las Vegas, Nevada, USA.
  • G. G. Xie and J. Gibson. December 2000. A Networking Protocol for Underwater Acoustic Networks. In Technical Report TR-CS-00-02, Department of Computer Science, Naval Postgraduate School.
  • J. A. Catipovic,1990. Performance limitations in underwater acoustic telemetry , IEEE J. Oceanic Eng. , pp. 205-216.
  • F. Yunus, S Ariffin and Y. Zahedi, 2010. A Survey of Existing Medium Access Control (MAC) for Underwater Wireless Sensor Network (UWSN). Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation, pp. 544-549.
  • Manjula, R. , & Manvi, S. 2011. Issues in underwater acoustic sensor networks. International Journal of Computer and Electrical Engineering.
  • R. Maheswar and R. Jayaparvathy . 2011. Performance Analysis of Cluster Based Sensor Networks using N-Policy M/G/1 Queueing Model. European Journal of Scientific Research , EuroJournals Publishing, Inc.
  • J. Carle and D. Simplot-Ryl, Feb. 2004 . Energy-efficient area monitoring for sensor networks. IEEE Computer, vol. 37, no. 2, pp. 40–46.
  • R. Jayaparvathy and R. Maheswar, May 2010. Power Optimization Method for Heterogeneous Sensor Network with Finite Buffer Capacity, IJRTET, Vol. 3, No. 3, pp. 218-220.
  • R. Jayaparvathy and R. Maheswar. August 2010. Power Control Algorithm for Wireless Sensor Networks using N-Policy M/M/1 Queueing Model . IJCSE Vol. 02, No. 07, pp. 2378-2382.
  • C. F. Chiasserini and M. Garetto. 2006. An analytical model for wireless sensor networks with sleeping nodes," IEEE Trans. Mobile Computing, vol. 5, no. 12, pp. 1706–1718 .
  • Peng X,etal. 2009. Aqua-Sim: an NS-2 based simulator for underwater sensor networks. In: Proceedings of the OCEANS2009,MTS/IEEE Biloxi—marine technology for our future: global and local challenges ;. International Journal of Computers, Communication and Control, Romania.