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

Author(s):  
Hradesh Kumar ◽  
Pradeep K. Singh

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.

2016 ◽  
Vol 11 (2) ◽  
pp. 2641-2656
Author(s):  
Basim Abood ◽  
Aliaa Hussien ◽  
Yu Li ◽  
Desheng Wang

The most important consideration in designing protocols for wireless sensor networks is the energy constraint of nodes because in most cases battery recharging is inconvenient or impossible. Therefore, many researches have been done to overcome this demerit. Clustering is one of the main approaches in designing scalable and energy-efficient protocols for wireless sensor networks. The cluster heads take the task of data aggregation and data routing to decrease the amount of communication and this prolongs the network lifetime. LEACH protocol is one of the famous of them. In this paper, we proposed a novel scheme to investigate the cluster, the Fuzzy Logic Cluster Leach Protocol (FUZZY-LEACH), which uses Fuzzy Logic Inference System (FIS) in the cluster process. We demonstrate that using multiple parameters in cluster reduces energy consumption. We compare our technique with the LEACH protocol to show that using a multi parameter FIS enhances the network lifetime significantly. Simulation results demonstrate that the network lifetime achieved by the proposed method could be increased by nearly 28.5% more than that obtained by LEACH protocol in  scenario, and by nearly 26.4% more than that LEACH protocol in  scenario.


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