International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 4 | Issue 4 | Year 2013 | Article Id. IJCTT-V4I4P148 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I4P148

Reducing Chain Complexity using Honey Bee Optimization in Wireless sensor network

Richa Mehta, O.S. Khanna

Citation :

Richa Mehta, O.S. Khanna, "Reducing Chain Complexity using Honey Bee Optimization in Wireless sensor network," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 4, pp. 683-687, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I4P148

Abstract

In Wireless Sensor Network, due to the power restriction of nodes, efficient routing is very important in order to save the energy of sensor node and to enhance the lifetime of the network. In this paper, a new protocol i.e. O-PEGASIS (Optimized PEGASIS) has been designed to reduce the complexity of chain in PEGASIS. A new approach has been used to overcome the problem of PEGASIS by using the Honey bee optimization technique. The results of new protocol i.e. O-PEGASIS have been compared with PEGASIS and EAPHRN. Simulation results show that the lifetime of O-PEGASIS is better as compared to PEGASIS and EAPHRN. Throughput has been increased in the O-PEGASIS since no sensor nodes die for the first 130 rounds but in case of PEGASIS and EAPHRN, sensor nodes die for the first 14 rounds and 49 rounds respectively. Thus, the proposed protocol is more energy efficient as compared to chain based protocols i.e. PEGASIS and EAPHRN.

Keywords

WSN, chain, routing, PEGASIS, lifetime, EAPHRN, Honey bee optimization. 

References

[1] Ian F. Akyildiz, Weilian Su, Yogesh Sankarasubramaniam, and Erdal Cayirci “A Survey on Sensor Networks” IEEE Communication Magazine, August 2002. 
[2] Leal L.B., Filho R.H.,  Rabelo R.A.L.,  Borges F.A.S., "A hybrid approach based on genetic fuzzy systems for Wireless Sensor Networks", Proceedings of IEEE International Conference on Evolutionary Computation (CEC), pp. 965-972, June 2011.
[3] Anindita Ray, Debashis De, “Energy Efficient Cluster Head Selection in Wireless Sensor Network”, Proceedings of IEEE International Conference on Recent Advances in Information Technology (RAIT), pp.306-311, March 2012. 
[4] Jamal Nal-Karaki, Ahmed E. Kamal “Routing Techniques in Wireless Sensor Networks” Wireless IEEE Communications, December 2004. 
[5] Kazem Sohrabym Daniel Minoli, Taieb Znati, “Wireless Sensor Networks, Technology, Protocols and Applications”, A JohnWiley & Sons, Inc., Publication, 2007. 
[6] Kuong-Ho Chen, Taichung Jyh-Ming Huang, Chieh-Chuan Hsiao, “CHIRON: An Energy-Efficient Chain based Hierarchical Routing Protocol in Wireless Sensor Networks” Proceedings of IEEE Wireless Telecommunications Symposium (WTS), pp.1-5, April 2009. 
[7] Hasan-Al-Hasan, Mohammad Qata Wneh, Azzam Sliet, Wesam Almobaideen, “EAPHRN: Energy-Aware PEGASIS-based Hierarchical Routing Protocol for Wireless Sensor Networks”, Proceedings of Journal of American Science, pp. 753-758, 2011. 
[8] J. Senthilkumar, M.Chandrasekaran, "Improving the performance of Wireless Sensor Network using Bee's Mating Intelligence", Proceedings of European Journal of Scientific Research, Vol. 55, No.3, pp. 452-265, 2011. 
[9] Celal Ozturk, Dervis Karaboga, Beyza Gorkemli, "Artificial bee colony algorithm for dynamic deployment of wireless sensor networks", Technical Report, Erciyes University, Engineering Faculty, Computer Engineering Department, Vol. 20, No.2, pp. 255-262, 2012.