A Fuzzy Logic-Based Clustering Algorithm for WSN to Extend the Network Lifetime (original) (raw)
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Energy Efficient Clustering Algorithm in Wireless Sensor Networks using Fuzzy Logic Control
2011 IEEE Colloquium on Humanities, Science and Engineering (CHUSER)
In general, environment monitoring cluster based hierarchical routing protocol is among the most common protocol being opted due to the load balancing among each other sensor. Sensors are randomly deployed in a specific area to collect useful information periodically for a few months or even a few years. Therefore, battery power limitation becomes a challenging issue. It is also impractical to maintain the network lifetime by changing the battery frequently. Low energy adaptive cluster hierarchical (LEACH) is one of the common clustering protocols that will elect the cluster head based on the probability model which will possibly lead to a reduce in network lifetime due to election of cluster head with a least desired location in the network. For wireless sensor networks, the distribution of cluster head selection directly influences the network's lifetime. This paper presents factors which will affect the network lifetime and apply fuzzy logic based cluster head selection conducted in base station. The base station considers two selection criteria from sensor nodes which are energy level and distance to the base station to select the suitable cluster head that will prolong the first node die (FND) time, data stream guaranteed for every round and also increase the throughput received by the base station before FND.
FUZZY BASED ENERGY EFFICIENT CLUSTERING IN WIRELESS SENSOR NETWORK
IAEME PUBLICATION, 2018
A Wireless Sensor Network (WSN) contains many tiny sensor nodes which have minimum battery power, low-cost, with computing and communication competences with limited range for communication with multi model and embedded sensing capability. Environment, habitat and military surveillance monitoring are the most significant application of WSN. The lifetime of the network depends on energy power of these sensor nodes. To efficiently improve the lifetime of the network, a cluster- based routing protocol is an effective scheme. In that, the numbers of sensor nodes are split into several groups known as Clusters. Based on some parameters, each cluster node will elect a node from their cluster to be the head, called as cluster head (CH). All sensor nodes gather the information from their surroundings and send it to the corresponding CHs. Afterward the data will be send to the Base Station (Sink) by the CHs. Thus, selecting the suitable CH can decline significant extent of energy dissipation. In this paper, we present a fuzzy based approach which will elect the CH with respect to energy and distance. On the other hand, we also exhibited the working benefits of using mobile sink, which travels in the network area and collects the information from sensor nodes, for improving the lifetime of the network, using different data collection strategies, instead of static base station. The Rendezvous nodes will have the ability to transfer data when the mobile sink comes near. The proposed technique is analyzed using network simulator.
Improving the Life Time of the Wireless Sensor Network Using Fuzzy Logic
International Journal of Scientific Research in Science and Technology, 2019
In the past few years, intensive research that addresses the potential of collaboration among sensors in data gathering and processing, and coordination and management of the sensing activity was conducted. Thus, innovative techniques to eliminate energy inefficiencies that shorten the lifetime of the Network and efficient use of the limited bandwidth are highly required. LEACH (Low Energy Adaptive Clustering Hierarchy) is the most famous routing protocol which consumes less energy. In LEACH, the Cluster Head is selected based on some random probabilities. These Cluster Heads send the aggregated data to the base station. In the proposed protocol, Cluster Heads are selected in the same procedure followed by the LEACH. But, among the Cluster Heads, we have selected a Super Cluster Head (SCH) based on some fuzzy descriptors such as remaining battery power, centrality of cluster heads and mobility of base station. The Super Cluster Head then sends the data to the base station. The results have been derived from NS-2 simulator and show that the proposed protocol performs better than the LEACH protocol.
Energy-Efficient Fuzzy Logic Cluster Head selection in Wireless Sensor Networks
2016 International Conference on Information Technology for Organizations Development (IT4OD), 2016
WSNs are characterized by limited energy constraints. This characteristic poses considerable challenge on design of routing protocols. Therefore, many designers and researchers focus on architectures and algorithms that allow energy-efficient operation of WSNs. One of the popular algorithms in this regard is clustering algorithm. Thus, there are many routing protocols based on clustering algorithm has been proposed for WSNs, the functionality of these protocols is divided into cluster heads (CHs) selection and cluster formation. However, CHs selection is one of the very important problems in routing protocols applications and can drastically impact the network lifespan thereby energy conservation task for WSNs. In this paper, we propose a new routing approach called Energyefficient fuzzy logic cluster head (EEFL-CH); it is an improvement of LEACH protocol. The goal of this approach is to decrease energy consumption in terms of network lifetime extension using three fuzzy parameters. These parameters are residual energy, expected efficiency, and closeness to base station. Simulation results show that EEFL-CH approach has the better result as compared with LEACH and LEACH-ERE routing protocols.
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.
A New Fuzzy Clustering Algorithm to Enhance Lifetime of Wireless Sensor Networks
AECIA 2016: Proceedings of the Third International Afro-European Conference for Industrial Advancement , 2016
Due to limitations of resource in wireless sensor networks (WSNs) enhancing the network lifetime has been of great concern. An efficient routing algorithm is known as clustering algorithm based routing protocol. In which getting optimal cluster heads (CHs) and a number of them has been defiance. In this paper, a new fuzzy clustering algorithm is proposed to maximize the lifetime of WSNs. Network field in this approach, contains two types of sensors: free sensors that communicate directly with sink, and clustered sensors that send the sensed data to the sink through CHs which are preselected. This approach uses fuzzy logic to select free sensor nodes and CHs with four fuzzy parameters. These parameters are energy level of sink and sensor proximity to the sink in terms of free sensors selection, and energy level of sensor node and centrality of sensors in terms of CHs selection. The main goal of our algorithm is to extend the lifetime of WSNs by minimizing distributing the workload on CHs. The simulation results show that our proposed is more efficient than SET protocol.
Energy Efficiency Cluster Head Election using Fuzzy Logic Method for Wireless Sensor Networks
2017
The main challenge in wireless sensors networks (WSN) is to conserve the energy consumption and prolong the lifetime of network. Since sensor nodes are deployed in hostile area and it is difficult to recharge their batteries or change it, we must maintain the lifetime of these nodes as longer as possible. Electing the appropriate Cluster Head (CH) becomes very important. Many clustering algorithms have been developed for selecting the best CHs. In this paper, we introduce a new clustering algorithm which elects CHs using fuzzy logic method and based on a set of parameters which increases the lifetime of WSN. In fact, we adopt three principle criteria: the remaining energy of node, the number of neighbors within cluster range and the distance between node and CH for electing best suitable nodes as CH. Simulation results shows that our proposed algorithm beats the other algorithms in regards of prolonging the lifetime of network and saving residual energy.
Sensors (Basel, Switzerland), 2019
In wireless sensor networks, the energy source is limited to the capacity of the sensor node’s battery. Clustering in WSN can help with reducing energy consumption because transmission energy is related to the distance between sender and receiver. In this paper, we propose a fuzzy logic model for cluster head election. The proposed model uses five descriptors to determine the opportunity for each node to become a CH. These descriptors are: residual energy, location suitability, density, compacting, and distance from the base station. We use this fuzzy logic model in proposing the Fuzzy Logic-based Energy-Efficient Clustering for WSN based on minimum separation Distance enforcement between CHs (FL-EEC/D). Furthermore, we adopt the Gini index to measure the clustering algorithms’ energy efficiency in terms of their ability to balance the distribution of energy through WSN sensor nodes. We compare the proposed technique FL-EEC/D with a fuzzy logic-based CH election approach, a k-means ...
Fuzzy logic based multi-hop wireless sensor network using energy efficient clustering algorithm
2018
Lifetime enhancement has always been a crucialissue as most of the wireless sensor networks (WSNs) operatein unattended environment where human access and monitoring are practically infeasible. Clustering is one of the most powerfultechniques that can arrange the system operation in associatedmanner to attend the network scalability, minimize energy consumption,and achieve prolonged network lifetime. To conquer this issue, current researchers have triggered the propositionof many numerous clustering algorithms. However, most of theproposed algorithms overburden the cluster head (CH) duringcluster formation. To overcome this problem, many researchershave come up with the idea of fuzzy logic (FL), which isapplied in WSN for decision making. These algorithms focuson the efficiency of CH, which could be adoptive, flexible, andintelligent enough to distribute the load among the sensor nodesthat can enhance the network lifetime. But unfortunately, mostof the algorithms use type -1 FL (T1F...