THE DEPENDENCE BETWEEN THE NUMBER OF ROUNDS AND IMPLEMENTED NODES IN LEACH ROUTING PROTOCOL-BASED SENSOR NETWORKS
Volodymyr Mosorov
w.mosorow@kis.p.lodz.plLodz University of Technology, Institute of Applied Computer Science (Poland)
Sebastian Biedron
Lodz University of Technology, Institute of Applied Computer Science (Poland)
Taras Panskyi
Lodz University of Technology, Institute of Applied Computer Science (Poland)
Abstract
In the 21st century wireless sensor networks have gained much popularity due to their flexibility. This progress has enabled the use of sensor nodes on an unprecedented scale and opened new opportunities for the so-called ubiquitous computerization. The total freedom of nodes distribution within the wireless network, where the wireless characteristic is one of the greatest advantages of the use of wireless sensor networks, implies its greatest weakness, i.e. the limitation of mobile power sources. To overcome this challenge specialized routing protocols, such as LEACH, were ushered in for making the effective use of the energy of the nodes themselves. The purpose of this article is to show how the life of a sensor network depends on the number of nodes equipped with a mobile limited power source.
Keywords:
LEACH, sensor network, nodeReferences
Aslam M., Javaid N., Rahim A., Nazir U., Bibi A., Khan Z.A.: Routing Protocols for Wireless Sensor Networks, 2010.
Google Scholar
Barrenetxea G., Ingelrest F., Schaefer G., Vetterli M.: Wireless Sensor Networks for environmental monitoring: the SensorScope experience. Proceedings of the 2008 IEEE International Zurich Seminar on Communications, 2008, 98–101.
Google Scholar
Chunyao F.U., Zhifang Jiang, Wei Wei: An Energy Balanced Algorithm of LEACH Protocol in WSN. IJCSI International Journal of Computer Science Issues, Vol. 10, Issue 1, No 1, 2013, 354–359.
Google Scholar
Ghanem M., Guo Y., Hassard J., Osmond M., Richards M.: Sensor Grids For air Pollution monitoring. Proceedings of the 3rd UK e-Science All Hands Meeting 2004.
Google Scholar
Hart J.K., Martinez K.: Environmental Sensor Networks: a revolution in the earth System Science, Earth-Science Reviews, vol. 78, no. 3–4, 2006, 177–191.
Google Scholar
Howitt I., Gutierrez J.A.: Ieee802.15.4 low rate-wireless personal area network coexistence issues. Proceedings of the Wireless Communications and Networking Conference (WCNC 2003), 2003, 1481–1486.
Google Scholar
Intanagonwiwat C., Govindan R., Estrin D.: Directed Diffusion: a Scalable and robust Communication Paradigm for Sensor Networks. Proceedings of the 6th Annual International Conference on Mobile Computing and Networking (MobiCom 2000), 2000, 56–67.
Google Scholar
Khan Z., Aslam N., Sivakumar S., Phillips W.: Energy-Aware Peering Routing Protocol for Indoor Hospital Body Area Network Communication, Procedia Com-puter Science, Vol. 10, 2012, 188–196.
Google Scholar
Marks M.: A Survey of Multi-Objective Deployment in Wireless Sensor Networks, Journal of Telecommunications and Information technology, 2010.
Google Scholar
Munir S.A., Biao R., Weiwei J., Bin W., Dongliang X.: Mobile Wireless Sensor Network: architecture and enabling technologies for Ubiquitous Computing. Proceedings of the Advanced Information Networking and Applications Workshops (AINAW 2007), 2007, 113–120.
Google Scholar
Pantazis N.A., Nikolidakis S.A., Vergados D.D.: Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey. IEEE Communications Surveys & Tutorials, Vol. 15, Issue 2, 2013, 551–591.
Google Scholar
Qing L., Zhu Q., Wang M.: Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks. Journal Computer Communications, Vol. 29 Issue 12, 2006, 2230–2237.
Google Scholar
Rasheedl M.B., Javaid N., Javaid A., Khan M.A., Bouk S.H., Khan Z.A., Improving Network Efficiency by Removing Energy Holes in WSNs. J. Basic Appl. Sci. Res. 3(5), 2013, 253–261.
Google Scholar
Wang Xiao-yun, Yang Li-zhen, Chen Ke-fei: SLEACH: Secure Low Energy Adaptive Clustering Hierarchy Protocol for Wireless Sensor Networks. Wuhan University Journal of Natural Sciences, Vol. 10, Issue 1, 2005, 127–131.
Google Scholar
Yadav L., Sunitha Ch.: Low Energy Adaptive Clustering Hierarchy in Wireless Sensor Network (LEACH), (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (3), 2014, 4661–4664.
Google Scholar
Yick J., Mukherjee B., Ghosal D.: Wireless Sensor Network Survey, Computer Networks, Vol. 52, No. 12, 2008, 2292–2330.
Google Scholar
Authors
Volodymyr Mosorovw.mosorow@kis.p.lodz.pl
Lodz University of Technology, Institute of Applied Computer Science Poland
Authors
Sebastian BiedronLodz University of Technology, Institute of Applied Computer Science Poland
Authors
Taras PanskyiLodz University of Technology, Institute of Applied Computer Science Poland
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