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Network Lifetime and Throughput Analysis in Wireless Sensor Networks Using Fuzzy Logic



Currently, Wireless sensor networks are the most prominent area in research.
Energy consumption is one of the important challenges in wireless sensor networks.



The objective of this paper is to increase the network lifetime and throughput of the
wireless sensor network.



 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).



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.



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.
