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- W2912090072 abstract "Background: Currently, Wireless sensor networks are the most prominent area in research. Energy consumption is one of the important challenges in wireless sensor networks. Objective: The objective of this paper is to increase the network lifetime and throughput of the wireless sensor network. Methods: The fuzzy logic approach is used to improve the network lifetime and throughput. The proposed approach gave better results in comparison to existing approaches of Low Energy Fuzzy Based Unequal Clustering Multi-hop Architecture (LEFUCMA) and Low Energy Adaptive Unequal Clustering Using Fuzzy C-Means (LAUCF). Results: The proposed approach is 11.39 % better in terms of network lifetime in comparison to LEFUCMA and 34.27 % in terms of network lifetime in comparison to LAUCF. Conclusion: The proposed approach is 34.29 % better in terms of network throughput as a comparison of LEFUCMA and 112.85 % in terms of network throughput in comparison to LAUCF." @default.
- W2912090072 created "2019-02-21" @default.
- W2912090072 creator A5054183825 @default.
- W2912090072 date "2020-04-27" @default.
- W2912090072 modified "2023-10-14" @default.
- W2912090072 title "Network Lifetime and Throughput Analysis in Wireless Sensor Networks Using Fuzzy Logic" @default.
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- W2912090072 doi "https://doi.org/10.2174/2352096512666190212152631" @default.
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