A New Efficient Data Gathering Approach using Fuzzy Clustering in WSNs
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Abstract:
Data gathering in Wireless Sensor Networks (WSNs) is one of the important operations in these networks. These operations require energy consumption. Due to the restricted energy of nodes, the energy productivity should be considered as a key objective in design of sensor networks. Therefore the clustering is a suitable method that used in energy consumption management. For this purpose many methods have been proposed. Between these methods the LEACH algorithm has been attend as a basic method. This algorithm uses distributed clustering method for data gathering and aggregation. The LEACH-C Method that is the improvement of LEACH, perform the clustering in centralized mode. In this method, collecting the energy level information of every node directly in each period increases the energy cost. In this paper, cluster head selection for increasing the network lifetime has been proposed based on fuzzy theory. The proposed ideas have been implemented over the LEACH-C protocol. Evaluation results show that the proposed methods have a better performance in energy consumption and lifetime of the network in comparison with similar methods.
Article Type:
Research/Original Article
Language:
English
Published:
International Journal of Academic Research in Computer Engineering, Volume:2 Issue:1, 2018
Pages:
46 - 52
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