@article{(Open Science Index):https://publications.waset.org/pdf/16258,
	  title     = {Energy Efficient Clustering Algorithm with Global and Local Re-clustering for Wireless Sensor Networks},
	  author    = {Ashanie Guanathillake and  Kithsiri Samarasinghe},
	  country	= {},
	  institution	= {},
	  abstract     = {Wireless Sensor Networks consist of inexpensive, low power sensor nodes deployed to monitor the environment and collect
data. Gathering information in an energy efficient manner is a critical aspect to prolong the network lifetime. Clustering  algorithms have an advantage of enhancing the network lifetime. Current clustering algorithms usually focus on global re-clustering and local re-clustering separately. This paper, proposed a combination of those two reclustering methods to reduce the energy consumption of the network. Furthermore, the proposed algorithm can apply to homogeneous as well as heterogeneous wireless sensor networks. In addition, the cluster head rotation happens, only when its energy drops below a dynamic threshold value computed by the algorithm. The simulation result shows that the proposed algorithm prolong the network lifetime compared to existing algorithms.
},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {7},
	  number    = {7},
	  year      = {2013},
	  pages     = {816 - 823},
	  ee        = {https://publications.waset.org/pdf/16258},
	  url   	= {https://publications.waset.org/vol/79},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 79, 2013},
	}