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FEAR: Fuzzy-Based Energy Aware Routing Protocol for Wireless Sensor Networks

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DOI: 10.4236/ijcns.2011.46048    5,900 Downloads   11,891 Views   Citations

ABSTRACT

Wireless Sensor Networks (WSNs) are used in different civilian, military, and industrial applications. Recently, many routing protocols have been proposed attempting to find suitable routes to transmit data. In this paper we propose a Fuzzy Energy Aware tree-based Routing (FEAR) protocol that aims to enhance existing tree-based routing protocols and prolong the network’s life time by considering sensors’ limited energy. The design and implementation of the new protocol is based on cross-layer structure where information from different layers are utilized to achieve the best power saving. Each node maintains a list of its neighbors in order to use neighbors’links in addition to the parent-child links. The protocol is tested and compared with other tree-based protocols and the simulation results show that FEAR protocol is more energy-efficient than comparable protocols. According to the results FEAR protocol saves up to 70.5% in the number of generated control messages and up to 55.08% in the consumed power.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

I. ALMomani and M. Saadeh, "FEAR: Fuzzy-Based Energy Aware Routing Protocol for Wireless Sensor Networks," International Journal of Communications, Network and System Sciences, Vol. 4 No. 6, 2011, pp. 403-415. doi: 10.4236/ijcns.2011.46048.

References

[1] R. Biradar, V. Patil, S. Sawant, and R. Mudholkar, “Classification and Comparison of Routing Protocols in Wireless Sensor Networks,” Special Issue on Ubiquitous Computing Security Systems, UbiCC Journal, Vol. 4, 2009, pp. 704-711.
[2] A. Jamalipour and J. Zheng, “Wireless Sensor Networks: A Networking Perspective,” Wiley-IEEE Press, Hoboken, 2009.
[3] M. McGrath and T. Dishongh, “Wireless Sensor Networks for Healthcare Applications,” Artech House, London, 2010.
[4] P. Pandian, “Wireless Sensor Network for Wearable Physiological Monitoring,” Journal of Networks, Vol. 3, No. 5, 2008, pp. 21-29. doi:10.4304/jnw.3.5.21-29
[5] H. Alemdar and C. Ersoy, “Wireless Sensor Networks for Healthcare: A Survey,” Computer Networks, Vol. 54, No. 15, 2010, pp. 2688-2710. doi:10.1016/j.comnet.2010.05.003
[6] S. Diamond and M. Ceruti, “Application of Wireless Sensor Network to Military Information Integration,” Proceedings of the 5th IEEE International Conference on Industrial Informatics, Vol. 1, 2007, pp. 317-322. doi:10.1109/INDIN.2007.4384776
[7] M. Winkler, K. Tuchs, K. Hughes and G. Barclay, “Theoretical and Practical Aspects of Military Wireless Sensor Networks,” Journal of Telecommunications and Information Technology, Vol. 2, 2008, pp. 37-45.
[8] X. Shen, Z. Wang, and Y. Sun, “Wireless Sensor Networks for Industrial Applications,” 5th World Congress on Intelligent Control and Automation, Vol. 4, 2004, pp. 3636-3640. doi:10.1109/WCICA.2004.1343273
[9] J. Al-Karaki and A. Kamal, “Routing Techniques in Wireless Sensor Networks: A Survey,” IEEE Wireless Communications, Vol. 11, No. 6, 2004, pp. 6-28. doi:10.1109/MWC.2004.1368893
[10] L. Villalba, A. Orozco, A. Cabrera and C. Abbas, “Routing Protocols in Wireless Sensor Networks,” Sensors, Vol. 9, No. 11, 2009, pp. 8399-8421. doi:10.3390/s91108399
[11] L. Wang, C. Wang and C. Liu, “Optimal Number of Clusters in Dense Wireless Sensor Networks: A Cross- Layer Approach,” IEEE Transactions on Vehicular Technology, Vol. 58, No. 2, 2009, pp. 966-976. doi:10.1109/TVT.2008.928637
[12] D. Djenouri and I. Balasinghanr, “New QoS and Geo- graphical Routing in Wireless Biomedical Sensor Net- works,” 6th International Conference on Broadband Communications, Networks and Systems, Madrid, 14-16 September 2009, pp. 1-8. doi:10.4108/ICST.BROADNETS2009.7188
[13] E. Stavroua and A. Pitsillidesa, “A Survey on Secure Multipath Routing Protocols in WSNs,” Computer Networks, Vol. 54, No. 13, 2010, pp. 2215-2238. doi:10.1016/j.comnet.2010.02.015
[14] IEEE, “ZigBee Specification Version 1.0,” ZigBee Alliance, San Ramon, 2005.
[15] Y. Park and E. Jung, “Plus-Tree: A Routing Protocol for Wireless Sensor Networks,” Lecture Notes in Computer Science, Vol. 4413, 2007, pp. 638-646. doi:10.1007/978-3-540-77368-9_62
[16] K. Akkaya and M. Younis, “A Survey on Routing Protocols for Wireless Sensor Networks,” Ad Hoc Networks, Vol. 3, No. 3, 2005, pp. 325-349. doi:10.1016/j.adhoc.2003.09.010
[17] L. Almazaydeh, E. Abdelfattah, M. Al-Bzoor and A. Al- Rahayfeh, “Performance Evaluation Of Routing Protocols in Wireless Sensor Networks,” International Journal of Computer Science and Information Technology, Vol. 2, No. 2, 2010, pp. 64-73. doi:10.5121/ijcsit.2010.2206
[18] P. Loh and Y. Pan, “An Energy-Aware Clustering Approach for Wireless Sensor Network,” International Journal of Communications, Network and System Sciences, Vol. 2, No. 2, 2009, pp. 131-141. doi:10.4236/ijcns.2009.22015
[19] O. Zytoune, Y. Fakhri and D. Aboutajdine, “A Novel Energy Aware Clustering Technique for Routing in Wireless Sensor Networks,” Wireless Sensor Network, Vol. 2, No. 3, 2010, pp. 233-238. doi:10.4236/wsn.2010.23031
[20] A. Mohajerzadeh and M. Yaghmaee, “Tree Based Energy and Congestion Aware Routing Protocol for Wireless Sensor Networks,” Wireless Sensor Network, Vol. 2, No. 2, 2010, pp. 161-167. doi:10.4236/wsn.2010.22021
[21] M. Al-Harbawi, M. Rasid and N. Noordin, “Improved Tree Routing (ImpTR) Protocol for ZigBee Network,” International Journal of Computer Science and Network Security, Vol. 9, No. 10, 2009, pp. 146-152.
[22] W. Qiu, E.Skafidas and P. Hao, “Enhanced Tree Routing for Wireless Sensor Networks,” Ad Hoc Networks, Vol. 7, No. 3, 2009, pp. 638-650. doi:10.1016/j.adhoc.2008.07.006
[23] M. Zeynali, L. Khanli and A. Mollanejad, “TBRP: Novel Tree Based Routing Protocol in Wireless Sensor Network,” International Journal of Grid and Distributed Computing, Vol. 2, No. 4, 2009, pp.35-48.
[24] W. Heinzelman, A. Sinha, A. Wang and A. Chandrakasan, “Energy-Scalable Algorithms and Protocols for Wireless Microsensor Networks,” International Conference on Acoustics, Speech, and Signal Processing, Vol. 6, 2000, pp. 3722-3725. doi:10.1109/ICASSP.2000.860211
[25] E. Mamdani, “Application of Fuzzy Logic to Approxi- mate Reasoning Using Linguistic Synthesis,” IEEE Transactions on Computers, Vol. C-26, No.12, 1977, pp. 1182-1191. doi:10.1109/TC.1977.1674779

  
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