Cognitive Improved LEACH (CogILEACH) Protocol for Wireless Sensor Network
Keywords:LEACH protocol, ILEACH protocol, Cluster head, Cognitive radio, Wireless sensor networks
In this paper, we proposed the Cognitive Improved Low Energy Adaptive Clustering Hierarchy (CogILEACH) protocol that is the spectrum aware extension of the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. In CogILEACH, which selects a cluster head (CH) based on its ratio between the current residual energy and an initial energy, and multiplies by the root square of its number of neighbor nodes. The simulation results show that CogILEACH protocol improves the lifetime of the network compared to both the LEACH protocol and ILEACH protocol under two-level homogeneity.
(1) Cavalcanti, D., et al., Cognitive radio based wireless sensor networks. Computer Communication and Networks, IEEE International Conference on, 2008. p. 1–6.
(2) Akan, B., et al., Cognitive radio sensor networks. IEEE Netw. 23(4), 34–40 (2009).
(3) KLA Yau, P Komisarczuk, PD Teal, in IEEE 34th Conference on Local Computer Networks. Cognitive radio-based wireless sensor networks: conceptual design and open issues, (2009), pp. 955–962.
(4) Cluster based Energy Efficient Sensing for Cognitive Radio Sensor Networks Usman Mansoor, Department of Telecom Engineering ICT Islamabad affiliated with UET Peshawar Muhammad Khalil Shahid Associate Professor ICT PTCL Academy Islamabad International Journal of Computer Applications (0975 – 8887) Volume 88 – No.7, February 2014.
(5) Abolarinwa J.A, SalawuN and Achonu A, Cognitive Radio-based Wireless Sensor As Next Generation Sensor Network: Concept, Problems and Prospects, Journal of Emerging Trends in Computing and Information Sciences, ISSN 2079-8407, Vol.4, No.8 August 2013.
(6) Rauniyar, Ashish, Jae Min Jang, and Soo Young Shin. "Optimal Hard Decision Fusion Rule for Centralized and Decentralized Cooperative Spectrum Sensing in Cognitive Radio Networks." Journal of Advances in Computer Networks 3.3 (2015).
(7) Proceedings of the UGC Sponsored National Conference on Advanced Networking and Applications, 27th March 2015.Special Issue Published in Int. Jnl. Of Advanced Networking and Applications (IJANA) Page 1 A Note On: Cognitive Radio and It Performance Tools Ms.L.Indhumathi1 M.Phil-Research Scholar, Department of Information Technology, Bharathiar University.
(9) Analysis of Spectrum Sensing By Using Energy Detection Technique in Cognitive Radio Kirtibala Shinde1, Madhukar Deshmukh2 1Department of E&TC, SavitribaiPhule Pune University, Pune, 2Department of E&TC, SavitribaiPhule Pune University, Pune International Journal of Engineering Inventions e-ISSN: 2278-7461, p-ISSN: 2319-6491 , Volume 4, Issue 8 (January 2015) PP: 33-40
(10) An Energy-Efficient and Compact Clustering Scheme with Temporary Support Nodes For Cognitive RadioSensor Networks Shelly Salim, Sangman Moh *, Dongmin Choi And Ilyong Chung, Department of Computer Engineering, Chosun University, 309 Pilmun- daero, Dong-gu, Gwangju 501-759, Korea
(11) N. M. A. Latiff, C. C. Tsimenidis, and B. S. Sharif, “Performance comparison of Optimization algorithms for clustering in wireless sensor networks,” in Proc. of the IEEE International Conference on Mobile Adhoc and Sensor Systems, Pisa, Italy, pp. 1-4, 2007.
(12) Z. Zhang and X. Zhang, “Research of improved clustering routing algorithm based on Load balance in wireless sensor networks,” in Proc. Of the IET International Communication Conference on Wireless Mobile and Computing, Shanghai, China, pp. 661-664, 2009.
(13) M. Tong, "LEACH-B: An improved LEACH protocol for wireless sensor network," in Proc.6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM), Shanghai, China, 2010.
(14) A Survey on LEACH-Based Energy Aware Protocols for Wireless Sensor Networks Raed M. Bani Hani1 and Abdalraheem A. Ijjeh2 1Jordan University of Science and Technology/Network Engineering and Security, Irbid, Jordan 2Jordan University of Science and Technology/Computer Engineering, Irbid, Jordan Journal of Communications Vol. 8, No.3, March 2013.
(15) A. Beni Hssane, M. L. Hasnaoui, M. Saadi, S. Benkirane, and M. Laghdir “Equitable LEACH-E protocol for heterogeneous wireless sensor networks,” Intelligent Distributed Computing IV, Studies in Computational Intelligence, vol. 315, pp 171-176, 2010.
(16) L. Qing, Q. Zhu, and M. Wang, “Design of a distributed energy-efficient Clustering algorithm for heterogeneous wireless sensor networks,” Computer Communications, vol. 29, no. 12, pp. 2230-2237, 2006.
(17) S. Lindsey and C. S. Raghavendra, “PEGASIS: power-efficient gathering in sensor information systems,” In Proc. of IEEE Aerospace Conference, Big Sky: MT, pp. 1125-1130, 2002.
(18) S. Younis and S. Fahmy, “Distributed clustering in ad-hoc sensor networks,” in Proc. of IEEE INFOCOM, March, 2004.
(19) G. Smaragdakis, I. Matta, and A. Bestavros, “SEP: a stable election Protocol clustered heterogeneous wireless sensor networks,” in Proc. of the International Workshop on Sensor and Actor Network Protocols and Applications (SANPA), 2004.
(20) LEAUCH: low-energy adaptive uneven clustering hierarchy for cognitive radio sensor network Errong Pei1*, Haozhe Han1, Zehua Sun1, Bin Shen1 and Tianqi Zhang2 Pei et al.EURASIP Journal on Wireless Communications and Networking (2015) 2015:122
(21) M. Bradonji and L. Lazos, “Graph-based criteria for spectrum-aware clustering in cognitive radio networks,” Ad Hoc Networks, vol. 10, no. 1,pp. 75 – 94, 2012.
(22) H. Zhang, Z. Zhang, H. Dai, R. Yin, and X. Chen, “Distributed spectrum-aware Clustering in cognitive radio sensor networks,” in Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE, pp. 1–6, 2011.