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A Survey on Hybrid DE/BBO Approach for Pegasis Protocol
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WSN is being widely used because of its features like low cost, distributed nature etc. As WSN contains sensor nodes that are of small size and contains small sized battery that becomes low during the process of transmission and receiving of data thus to increased lifetime of battery routing protocols are developed that transmit data by opting the smallest path for data transmission thus saving the energy and increasing the lifetime. One such routing protocol is PEGASIS that uses the concept of chain formation while processing the data. A large amount of energy is lost while forming chain. DE/BBO is one of the techniques described in paper that uses exploration and exploitation process to form chain thus improve the lifetime of battery and thus increasing its efficiency.
Keywords
WSN, BBO, Migration.
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- I.F. Akyildiz et al.,”Wireless sensor networks: a survey,” Computer Networks 38 (4) , 2002, pp. 393–422.
- K. Sohrabi et al.,” Protocols for self-organization of a wireless sensor network,” IEEE Personal Communications 7 (5), 2000, pp. 16–27.
- Kemal Akkaya , Mohamed Younis,” A survey on routing protocols for wireless sensor networks,” International journal on Adhoc network vol.5, 2013.
- Deoshree Diwathe, Snehlata S.Dongare,”Classification Model Using Optimization Technique: A Review,” IJCSN International Journal of Computer Science and Network, vol.6, Issue 1, 2016, pp. 42-48.
- Ammu P K , Sivakumar K C , Rejimoan R “Biogeoraphy-Based Optimization: A Survey,” International Journal of electronice and computer science engineering,vol.2, Issue 1, 2012, pp.154-160.
- Bipandeep Singh, Er. Simranjit Kaur,” An Improved Energy-Efficient BBO-Based PEGASIS Protocol in Wireless Sensors Network,” International. Journal of Engineering Research and Applications, vol.4, Issue 3, March 2014, pp.470-474,.
- Seyed Habib A. Rahmati & M. Zandieh,” A new biogeography-based optimization (BBO) algorithm for the flexible job shop scheduling problem,” International Journal of Advance Manufacturing echnology,vol.58,Issue 9, September 2011, pp. 115-129.
- D. Du, D. Simon, and M. Ergezer, “Biogeography based optimization combined with evolutionary Strategy and immigration Refusal,” in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, October 2009, pp. 997-1002.
- N. Noman, H. Iba, “Accelerating differential evolution using an adaptive local search,” IEEE Transactions on Evolutionary Computation, vol. 12, no. 6, February 2008, pp. 107-125.
- W. Gong, Z. Cai, C. Ling, “DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization,” Soft Computing, vol. 15, no. 4, April 2010, pp. 645-665.
- S. Nikumbh, S. Ghosh, and V. Jayaraman, “Biogeography based informative gene Selection and cancer classification using SVM and random forests,” IEEE World Congress on Computational Intelligence, Brisbane, Australia, June 2012, pp. 187-192.
- P. Pongcharoen, W. Chainate, and P. Thapatsuwan, “Exploration of genetic parameters and operators through travelling salesman problem,” ScienceAsia, Vol. 33, Issue 2, 2007, pp. 215-222.
- M.R. Lohokare, S. S. Pattnaik, S. Devi, K. M. Bakwad, D. G. Jadhav, ”Biogeography based optimization technique for block based motion estimation in video coding,” National Conference on Computational Instrumentation, CSIO Chandigarh, INDIA, March 2010, pp. 19-20.
- S. Gupta, K. Bhuchar, and P. Sandhu, “Implementing Color Image Segmentation Using Biogeography Based Optimization,” International Conference on Software and Computer Applications, Kathmandu, Nepal, July 2011, pp. 79-86..
- V. Panchal, P. Singh, N. Kaur, and H. Kundra, “Biogeography based satellite image classification,” International Journal of Computer Science and Information Security,” vol. 6, no. 2, November 2009, pp. 269-274.
- R. Kaur, R. Khanna, “Medical image quantization using biogeography based optimization,” International Journal of Computer Applications Journal of Computer Applications, vol. 48, no. 12, 2012, pp. 8-11.
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