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Reseach Article

Prolong the Lifetime of Wireless Sensor Network using Fuzzy Logic to Control the Movement of the Mobile Sink

by Mostafa Noorikhameneh, Morteza Moosavi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 147 - Number 7
Year of Publication: 2016
Authors: Mostafa Noorikhameneh, Morteza Moosavi
10.5120/ijca2016911166

Mostafa Noorikhameneh, Morteza Moosavi . Prolong the Lifetime of Wireless Sensor Network using Fuzzy Logic to Control the Movement of the Mobile Sink. International Journal of Computer Applications. 147, 7 ( Aug 2016), 5-14. DOI=10.5120/ijca2016911166

@article{ 10.5120/ijca2016911166,
author = { Mostafa Noorikhameneh, Morteza Moosavi },
title = { Prolong the Lifetime of Wireless Sensor Network using Fuzzy Logic to Control the Movement of the Mobile Sink },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 147 },
number = { 7 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 5-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume147/number7/25663-2016911166/ },
doi = { 10.5120/ijca2016911166 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:51:14.902351+05:30
%A Mostafa Noorikhameneh
%A Morteza Moosavi
%T Prolong the Lifetime of Wireless Sensor Network using Fuzzy Logic to Control the Movement of the Mobile Sink
%J International Journal of Computer Applications
%@ 0975-8887
%V 147
%N 7
%P 5-14
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless sensor network is a wireless network which includes some sensor nodes. The sensor nodes are as the same and limited battery power. Wireless sensors could monitor physical or environmental conditions of a region. Aggregation data by sensors transmit to a sink. Because of limited power battery of sensor nodes, sending data from sensors to sink is a challengeable issue in these networks. focus in this paper proposed two algorithms for send data from sensor node to the sink. In first algorithm was utilized mobile sink and clustering such that design a paths for mobile sink by fuzzy logic which this paths include all of cluster head. In second algorithm sink path is fixed and for sending data from sensor cluster heads to the sink was utilize from Rendezvous Nodes. In this method selection of cluster head and Rendezvous Nodes was used by fuzzy logic Then the simulation of proposed method using the network simulator OMNeT++ useful for debugging, performance evaluation, the simulation results show that proposed method gives better average energy, throughput and energy consumption and effectively Reduction delay.

References
  1. F. Zhao and L. Guibas, Wireless Sensor Networks: An Information Processing Approach. Morgan Kaufmann, 2004.
  2. M.A. Batalin, G.S. Sukhatme, M. Hattig, Mobile robot navigation using a sensor network, in: Proc. of IEEE Int’l Conference on Robotics and Automation (ICRA), pp. 636–641, 2004.
  3. P. Guo, T. Jiang, Q. Zhang, K. Zhang, Sleep scheduling for critical event monitoring in wireless sensor networks, IEEE Transactions on Parallel Distributed System 23 (2) (2012) 345–352.
  4. C.-Y. Lin, W.-C. Peng, Y.-C. Tseng, Efficient in-network moving object tracking in wireless sensor networks, IEEE Transactions on Mobile Computing 5 (8) (2006) 1044–1056.
  5. Y. Xu, J. Winter, W.-C. Lee, Prediction-based strategies for energy saving in object tracking sensor networks, in: Proc. of IEEE Int’l Conference on Mobile Data Management (MDM), pp. 346–357, 2004.
  6. R. Szewczyk, A. Mainwaring, J. Polastre, J. Anderson, D. Culler, An analysis of a large scale habitat monitoring application, in: Proc. of ACM Int’l Conference on Embedded Networked Sensor Systems (SenSys), pp. 214–226, 2004.
  7. S. Gandham, Y. Zhang, Q. Huang, Distributed time-optimal scheduling for convergecast in wireless sensor networks, Computer Networks 52 (3) (2008) 610–629.
  8. O.D. Incel, A. Ghosh, B. Krishnamachari, K. Chintalapudi, Fast data collection in tree-based wireless sensor networks, IEEE Transactions on Mobile Computing 11 (1) (2012) 86–99.
  9. G. Lu, B. Krishnamachari, C.S. Raghavendra, An adaptive energy-efficient and low-latency MAC for tree-based data gathering in sensor networks, Wireless Commununications and Mobile Computing (WCMC) 7 (7) (2007) 863–875.
  10. B. Malhotra, I. Nikolaidis, M.A. Nascimento, Aggregation convergecast scheduling in wireless sensor networks, ACM/Kluwer Wireless Networks 17 (2) (2011) 319–335.
  11. S. Upadhyayula, V. Annamalai, S.K.S. Gupta, A low-latency and energy-efficient algorithm for convergecast in wireless sensor networks, in: Proc. of IEEE Global Telecommunications Conference (Globecom), pp. 3525–3530, 2003.
  12. G. Lu, B. Krishnamachari, C.S. Raghavendra, An adaptive energy-efficient and low-latency MAC for tree-based data gathering in sensor networks, Wireless Commununications and Mobile Computing (WCMC) 7 (7) (2007) 863–875.
  13. B. Malhotra, I. Nikolaidis, M.A. Nascimento, Aggregation convergecast scheduling in wireless sensor networks, ACM/Kluwer Wireless Networks 17 (2) (2011) 319–335.
  14. Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan, "Energy-Efficient Communication Protocol forWireless Microsensor Networks", Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8, Page: 8020, 2000
  15. Wendi B. Heinzelman et al., "An Application-Specific Protocol Architecture for Wireless Micro sensor Networks", IEEE transactions on wireless communications, vol. 1, no. 4, October 2002.
  16. Sushant Jain, Rahul C.Shan, et al, “Exploiting Mobility for Energy Efficient Data Collection in Wireless Sensor Networks,” Mobile Networks and Applications, vol. 11, no. 3, pp. 327-39, Jun. 2006.
  17. Xinxin Liu, Han Zhao, et al, “Trailing Mobile Sinks: A Proactive Data Reporting Protocol for Wireless Sensor Networks,” IEEE Transactions on Computers, pp. 214-223, 2011.
  18. W.R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-efficient Communication Protocol for Wireless Microsensor Networks”, in IEEE Computer Society Proceedings of the Thirty Third Hawaii International Conference on System Sciences (HICSS '00), Washington, DC, USA, Jan. 2000, vol. 8, pp. 8020.
  19. W.R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “An Application-Specific Protocol Architecture for Wireless Microsensor Networks” in IEEE Tmnsactions on Wireless Communications (October 2002), vol. 1(4), pp. 660-670.
  20. Lan Wang and Yang Xiao, “A Survey of Energy-Efficient Scheduling Mechanisms in Sensor Network”.
  21. S. Singh, M. Woo, and C.S. Raghavendra. “Power-aware routing in mobile ad hoc networks”. In Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking (MobiCom), pages 181–190, 1998.
Index Terms

Computer Science
Information Sciences

Keywords

Wireless sensor network mobile sink clustering Rendezvous Nodes fuzzy logic routing