Extending the network lifetime of wireless sensor networks using fuzzy logic

2015 ◽  
Author(s):  
Oussama Ben Belghith ◽  
Lasaad Sbita
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Wireless Sensor

scholarly journals Energy Efficient Clustering in Wireless SensorNetworks Using Fuzzy Approach to Improve LEACH Protocol

2016 ◽  
Vol 11 (2) ◽  
pp. 2641-2656
Author(s):  
Basim Abood ◽  
Aliaa Hussien ◽  
Yu Li ◽  
Desheng Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Inference System ◽  
Multiple Parameters ◽  
Leach Protocol ◽  
Energy Efficient Clustering

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.

scholarly journals An Area Coverage Scheme Based on Fuzzy Logic and Shuffled Frog-Leaping Algorithm (SFLA) in Heterogeneous Wireless Sensor Networks

Mathematics ◽  
2021 ◽  
Vol 9 (18) ◽  
pp. 2251
Author(s):  
Amir Masoud Rahmani ◽  
Saqib Ali ◽  
Mohammad Sadegh Yousefpoor ◽  
Efat Yousefpoor ◽  
Rizwan Ali Naqvi ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Sensor Node ◽  
Area Coverage ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Shuffled Frog Leaping Algorithm ◽  
Shuffled Frog Leaping

Coverage is a fundamental issue in wireless sensor networks (WSNs). It plays a important role in network efficiency and performance. When sensor nodes are randomly scattered in the network environment, an ON/OFF scheduling mechanism can be designed for these nodes to ensure network coverage and increase the network lifetime. In this paper, we propose an appropriate and optimal area coverage method. The proposed area coverage scheme includes four phases: (1) Calculating the overlap between the sensing ranges of sensor nodes in the network. In this phase, we present a novel, distributed, and efficient method based on the digital matrix so that each sensor node can estimate the overlap between its sensing range and other neighboring nodes. (2) Designing a fuzzy scheduling mechanism. In this phase, an ON/OFF scheduling mechanism is designed using fuzzy logic. In this fuzzy system, if a sensor node has a high energy level, a low distance to the base station, and a low overlap between its sensing range and other neighboring nodes, then this node will be in the ON state for more time. (3) Predicting the node replacement time. In this phase, we seek to provide a suitable method to estimate the death time of sensor nodes and prevent possible holes in the network, and thus the data transmission process is not disturbed. (4) Reconstructing and covering the holes created in the network. In this phase, the goal is to find the best replacement strategy of mobile nodes to maximize the coverage rate and minimize the number of mobile sensor nodes used for covering the hole. For this purpose, we apply the shuffled frog-leaping algorithm (SFLA) and propose an appropriate multi-objective fitness function. To evaluate the performance of the proposed scheme, we simulate it using NS2 simulator and compare our scheme with three methods, including CCM-RL, CCA, and PCLA. The simulation results show that our proposed scheme outperformed the other methods in terms of the average number of active sensor nodes, coverage rate, energy consumption, and network lifetime.

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

2020 ◽  
Vol 13 (2) ◽  
pp. 227-235
Author(s):  
Hradesh Kumar ◽  
Pradeep K. Singh
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Low Energy ◽  
Network Throughput ◽  
Wireless Sensor ◽  
Unequal Clustering ◽  
Fuzzy Logic Approach ◽  
Logic Approach

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.

scholarly journals Cluster Formation using Fuzzy Logic in Wireless Sensor Networks

2021 ◽  
Vol 3 (1) ◽  
pp. 31-39
Author(s):  
Bhalaji N
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Error Rate ◽  
High Reliability ◽  
Experimental Simulation ◽  
Wireless Sensor ◽  
High Quality ◽  
Clustering Quality

The biggest challenges faced by wireless sensor networks (WSNs) are the network lifetime and consumption of energy. To reduce the amount of energy used by WSNs, high quality clustering proves to be a crucial approach. There are multiple criteria that need to be evaluated depending on the cluster’s quality and incorporating all these criteria will prove to be cumbersome process, leading to high-quality clustering. Hence, in this paper we propose an algorithm that is used to produce high quality clusters. Cluster quality is set as the deciding criterion to determine the quality of the clusters thereby categorizing them as intra- and inter-clusters based on their distances to eliminate error rate. Using fuzzy logic, the optimal cluster head is chosen. Similarly, based on the maximum and minimum distance between the nodes, the maximum and minimum energy present in every cluster is determined. The major advantages of the proposed methodology are large-scale networks with large nodes count, better scalability, independence of key CHs, low error rate and high reliability. Using internal and external criteria, the validity of the clustering quality can be measured. Experimental simulation shows that the proposed methodology will be useful in improving the network lifetime and energy consumption. Hence the proposed node further enhances the death of the last node and first node when compared using other methodology.

Lifetime Prolonging for Clustered Heterogeneous Wireless Sensor Networks by SEP-FUZZY

2016 ◽  
Vol 2 (2) ◽  
pp. 380
Author(s):  
Basim Abood ◽  
Muhammed Shemyal Nisar ◽  
Aliaa Hussien ◽  
Yu Li
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Wireless Sensor ◽  
Inference System ◽  
Heterogeneous Wireless Sensor Networks ◽  
Leach Protocol ◽  
Logic Inference ◽  
Stable Election Protocol

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 WSNs.In this paper, we proposed a novel scheme to investigate the cluster, the Fuzzy Logic Cluster Stable Election Protocol (SEP - FUZZY), which uses Fuzzy Logic Inference System (FIS) in the cluster process. We compare our technique with two approaches (LEACH, and SEP) 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 27% more than that obtained by LEACH protocol, and by nearly 23% more than that obtained by Stable Election Protocol.

scholarly journals Two novel protocols for optimizing energy consumption in heterogeneous wireless sensor networks using fuzzy logic for monitoring, diagnosis and target tracking

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Kambiz Koosheshi
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Large Scale ◽  
Mobile Sink ◽  
Base Station ◽  
Wireless Sensor ◽  
Heterogeneous Wireless Sensor Networks

AbstractIn this study, we present two novel protocols for optimizing energy consumption in heterogeneous wireless sensor networks for supervising the environment and multi-target detecting and tracking in real large-scale areas. The use of mobile sink in wireless sensor networks, despite its numerous advantages, is impossible in the majority of environments. Hence, by utilization of a novel scheme for duty cycle integrated with fuzzy logic, despite using a fixed base station, the propose protocol can enhance network lifetime even more than those protocols which use mobile sink for data collection. In this protocol, by introducing an unequal clustering method based on fuzzy logic, the possibility of energy holes problem is very far from expectation. Simulation of the proposed protocol through Matlab indicated that the proposed method outperformed other available methods with regard to preventing energy hole. Consequently, network lifetime is enhanced even in large-sized networks.

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