Abstract
Energy efficiency and network lifetime are the one of the most important issues in Wireless Sensor Network (WSN). As well as, they are mandatory for low-cost solutions to various real world challenges. Sensor nodes depend on the power of its battery which has a significant effect on their performance. Clustering and localization of sensor nodes are one of the efficient techniques to increase the network lifetime. This paper discusses a new clustering protocol scheme is proposed and evaluated; the new scheme depends on hybrid nodes localization formation to improve the existing Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. The LEACH static clustering is based on the heterogeneous routing protocol. Hence, enhancing allocation improves a number of transmission data rate and node lifetime to achieve the network longevity in WSN. Results are simulated using Matlab simulation tools; the proposed scheme shows 15 % improvement in WSN total network lifetime and 15 %–49 % enhancement in the total number of packets transmitted.
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References
Zhu, Y., Hua, K.: The development of mobile wireless sensor networks: a survey. In: Technological Breakthroughs in Modern Wireless Sensor Applications, p. 257, 31 March 2015
Kong, L., Pan, J.-S., Tsai, P.-W., Vaclav, S., Ho, J.-H.: A balanced power consumption algorithm based on enhanced parallel cat swarm optimization for wireless sensor network. Int. J. Distrib. Sens. Netw. 2015, 10 (2015)
Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, IEEE, p. 10, 4 January 2000
Chang, F.-C., Huang, H.-C.: A survey on intelligent sensor network and its applications. J. Netw. Intell. 1(1), 1–15 (2016)
Bekmezci, I., Alagoz, F.: Energy efficient, delay sensitive, fault tolerant wireless sensor network for military monitoring. Int. J. Distrib. Sens. Netw. 5, 729–747 (2009). doi:10.1080/15501320902768625
Kafi, M.A., Challal, Y., Djenouri, D., Bouabdallah, A., Khelladi, L., Badache, N.: A study of wireless sensor network architectures and projects for traffic light monitoring. Procedia Comput. Sci. 10, 543–552 (2012). doi:10.1016/j.procs.2012.06.069
Vairamani, K., Mathivanan, N., Venkatesh, K.A., Kumar, U.D.: Environmental parameter monitoring using wireless sensor network. Instrum. Exp. Tech. 56, 468–471 (2013). doi:10.1134/S0020441213040118
Qu, Y., Zhu, Y., Han, W., Wang, J., Ma, M.: Crop leaf area index observations with a wireless sensor network and its potential for validating remote sensing products. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 7(2), 431–444 (2014). Chang, F.C., Huang, H.C., 12
Marino, P., Fontan, F., Dominguez, M., Otero, S.: An experimental ad-hoc WSN for the instrumentation of biological models. IEEE Trans. Instrum. Meas. 59(11), 2936–2948 (2011)
Farah, C., Schwaner, F., Abedi, A., Worboys, M.: Distributed homology algorithm to detect topological events via wireless sensor networks. IET Wireless Sens. Syst. 1(3), 151–160 (2011)
Lei, Z., Jianhua, L.: Distributed coverage of forest fire border based on WSN. In: 2010 2nd International Conference on Industrial and Information Systems (IIS), vol. 1, pp. 341–344, July 2010
Lara, R., Benitez, D., Caamano, A., Zennaro, M., Rojo-Alvarez, J.: On real-time performance evaluation of volcano monitoring systems with wireless sensor networks. IEEE Sens. J. 15(6), 1–9 (2015)
Tan, R., Xing, G., Chen, J., Song, W.-Z., Huang, R.: Quality-driven volcanic earthquake detection using wireless sensor networks. In: 2010 IEEE 31st Real-Time Systems Symposium (RTSS), pp. 271–280, November 2010
Jan, M., Habib, Q., Irfan, M., Murad, M., Yahya, K., Hassan, G.: Carbon monoxide detection and autonomous countermeasure system for a steel mill using wireless sensor and actuator network. In: 2010 6th International Conference on Emerging Technologies (ICET), pp. 405–409, October 2010
Iqbal, A., Akbar, M., Javaid, N., Bouk, S.H., Ilahi, M., Khan, R.D.: Advanced LEACH: a static clustering-based heteroneous routing protocol for WSNs: arXiv preprint, arXiv:1306.1146, 5 June 2013
Younis, O., Fahmy, S.: HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Trans. Mob. Comput. 3(4), 366–379 (2004)
Kumari, R.S., Chithra, A., Devi, M.B.: Efficient 2-level energy heterogeneity clustering protocols for wireless sensor network. Indian J. Sci. Technol. 9(8) (2016)
Shaji, M.: Distributed energy efficient heterogeneous clustering in wireless sensor network. In: 2015 Fifth International Conference on Advances in Computing and Communications (ICACC), pp. 130–134. IEEE, 2 September 2015
Hussain, S., Matin, A.W.: Energy efficient hierarchical cluster-based routing for wireless sensor networks. In: Jodrey School of Computer Science Acadia University Wolfville, Technical report, pp. 1–33, Nova Scotia, Canada (2005)
Baranidharan, B., Shanthi, B.: A survey on energy efficient protocols for wireless sensor networks. Int. J. Comput. Appl. 11(10), 35–40 (2010)
Al Ameen, M., Islam, S.M., Kyungsup, K.: Energy saving mechanisms for MAC protocols in wireless sensor networks. Int. J. Distrib. Sens. Netw. 2010 (2010)
Liu, M., Cao, J., Chen, G., Wang, X.: An energy-aware routing protocol in wireless sensor networks. Sensors 9(1), 445–462 (2009)
Manjeshwar, A., Agrawal, D.P.: TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. In: Null, p. 30189a. IEEE, 23 April 2001
Sankarasubramaniam, Y., Akyildiz, I.E., McLaughlin, S.W.: Energy efficiency based packet size optimization in wireless sensor networks. In: Proceedings of the First IEEE, 2003 IEEE International Workshop on Sensor Network Protocols and Applications, pp. 1–8. IEEE (2003)
Abdellah, E., Benalla, S.A.I.D., Hssane, A.B., Hasnaoui, M.L.: Advanced low energy adaptive clustering hierarchy. (IJCSE) Int. J. Comput. Sci. Eng. 2(07), 2491–2497 (2010)
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Lotfy, A., Awamry, A.A., Abdelhalim, M.B. (2017). Performance Analysis of Biased Localization of Heterogeneous Nodes Combined with Pure LEACH Routing Protocol. In: Hassanien, A., Shaalan, K., Gaber, T., Azar, A., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016. AISI 2016. Advances in Intelligent Systems and Computing, vol 533. Springer, Cham. https://doi.org/10.1007/978-3-319-48308-5_65
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