Energy Efficient Clustering Algorithm in Wireless Sensor Networks using Fuzzy Logic Control (original) (raw)
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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.
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.
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.
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 Review: Cluster Head Selection using Fuzzy logic in Wireless Sensor Networks
2015
Despite significant advancements in wireless sensor networks (WSNs), energy conservation remains one of the most important research challenges. In designing the Wireless Sensor Networks, the energy is the most important consideration because the life time of the sensor node is limited by the battery of it. This paper deals with study and analysis of the investigating power consumption in wireless network and investigating the possible way to reduce the power consumption at Base Station. To overcome this demerit many research approaches have been done. The clustering is the one of the representative approaches. Proper organization of nodes (clustering) is one of the major techniques to expand the lifespan of the whole network through aggregating data at the cluster head. The cluster head is the backbone of the entire cluster. In this paper, a fuzzy logic approach to cluster-head election is proposed based on four descriptors - remain energy,neighbor distance, concentration and centra...
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.
FOREX Publication, 2023
Wireless sensor networks deploy sensor nodes to different areas for data collection. The small size of these sensor nodes allows limited energy storage capacity, and most applications of the networks do not support recharging the batteries once their energy is depleted. Research on energy efficiency in wireless sensor networks is thus an active area that seeks to minimize energy consumption so that the sensor nodes can live longer. Clustering, one of the energy consumption optimization techniques, is employed in this research. It splits the network into smaller groups for data collection and forwards the data to the base station via appointed cluster heads. A fuzzy-based cluster head election strategy is proposed here to improve energy efficiency in wireless sensor networks. The input parameters of the fuzzy inference system are chosen as the residual energy, the node centrality, and the mobility factor. The system generates an output of the chance of a node being selected as a cluster head based on the combination of the values of the given inputs. The simulation results show that the proposed model reduces the network's overall energy consumption and extends the sensor nodes' lifetime.