Wireless Sensor Network Energy Optimization in Smart Home Using LEACH Protocol: Comparative Study with CTP Routing Protocol

  • Authors

    • Insaf. SLAMA
    • Houda. JOUINI
    • Abdelkader. MAMI
    • Noureddine. BOULAJFEN
    2018-11-27
    https://doi.org/10.14419/ijet.v7i4.16.22874
  • Advances in technology make it possible today to integrate, by low-cost, heterogeneous and wireless communicating multi-sensor objects. These intelligent sensors, also called wireless sensor networks (WSN), are used for monitoring and management in environments considered to be at risk or inaccessible such as smart homes. As a result, the sensor network efficiency is of major importance. Nevertheless, many constraints must be solved for wireless sensor networks like routing and energy management to extend the life of these networks. Thus, we suggest, in this paper, an optimization strategy based on the Leach protocol, under the OMNET ++ environment, in order to minimize the energy consumption in a WSN of a smart home. The simulation results show the effectiveness of the adopted strategy by comparing it to other algorithms particularly CTP protocol.

  • References

    1. [1] Avinash M, Vijay R, A survey on energy efficient coverage protocols in wireless sensor networks, Journal of King Saud University – Computer and Information Sciences. 29, 2017, 428–448.

      [2] Deepa O , Suguna J, An optimized QoS-based clustering with multipath routing protocol for Wireless Sensor Networks, Journal of King Saud University – Computer and Information Sciences. 2017.

      [3] Supreet K, Rajiv M, Hybrid meta-heuristic optimization based energy efficient protocol for wireless sensor networks ,Egyptian Informatics Journal, 2018.

      [4] Robert M C, Cole Smith J, A survey of optimization algorithms for wireless sensor network lifetime maximization, Computers & Industrial Engineering, 101, 2016, 145–166.

      [5] Ouchitachen H, Hair A, Idrissi N, Improved multi-objective weighted clustering algorithm in Wireless Sensor Network, Egyptian Informatics Journal 18, 2017, 45–54.

      [6] Santar PS, Sharma SC, A survey on cluster based routing Protocols in Wireless Sensor Networks, International conference on Advanced Technologies and Applications (ICACTA-2015), Procedia Computer Science, 45, 2015, 687-695.

      [7] Heinzelman WR, Kulik J and Balakrishnan H, Adaptive Protocols for Information Dissemination in Wireless Sensor Networks, 5th annual ACM/IEEE international conference on Mobile computing and networking, Washington, DC, USA, 15–19 August 1999, 174–185.

      [8] Wu X H, Wang S, Performance comparison of LEACH and LEACHC protocols by NS2, 9th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, Hong Kong, China,2010, 254-258.

      [9] Omprakash G, Rodrigo F, Kyle J, David M, and Philip L, Collection Tree Protocol, 7th ACM Conference on embedded networked sensor systems, Berkeley, CA, USA, Nov 2009, 1-14.

      [10] : F. Desbrandes, S. Bertolotti and L. Dunand, "Opnet 2.4 : An environment for communication network modeling and simulation", In Proceedings of European Simulation Symposium. Society for Computer Simulation, 1993.

      [11] : M. Aissani, "Optimisation du routage dans les réseaux de capteurs pour les applications temps-réel", Thèse en cotutelle de Doctorat en Informatique des universités de Paris-Est et d’USTHB. Mars, 2011.

      [12] Bao Zhenshan, Xue Bo, Zhang Wenbo. “HT-LEACH: An Improved Energy Efficient Algorithm Based on LEACHâ€, International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC), 2013.

      [13] Shikha Magotra, Krishan Kumar, “Detection of HELLO flood Attack on LEACH Protocolâ€, International Advance Computing Conference (IACC),IEEE,2014
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  • How to Cite

    SLAMA, I., JOUINI, H., MAMI, A., & BOULAJFEN, N. (2018). Wireless Sensor Network Energy Optimization in Smart Home Using LEACH Protocol: Comparative Study with CTP Routing Protocol. International Journal of Engineering & Technology, 7(4.16), 147-154. https://doi.org/10.14419/ijet.v7i4.16.22874