SPECTRUM AWARE CLUSTERING ALGORITHM BASED ON FUZZY LOGIC FOR COGNITIVE RADIO SENSOR NETWORK

2020 ◽  
Vol 5 (1) ◽  
pp. 433
Author(s):  
Noorhayati Mohamed Noor ◽  
Norashidah Md Din ◽  
Shapina Abdullah ◽  
Nor Azimah Khalid ◽  
Zolidah Kasiran
Keyword(s):  
Fuzzy Logic ◽  
Cognitive Radio ◽  
Clustering Algorithm ◽  
Cluster Formation ◽  
Data Gathering ◽  
Residual Energy ◽  
Cognitive Radio Sensor Network ◽  
Distribution Parameters ◽  
The Stability ◽  
Channel Availability

In this paper, a clustering solution for periodic data gathering over WSNs using cognitive radio technology is proposed. The cluster heads (CHs) are selected according to the channel availability, residual energy, communication cost and node distribution parameters. Fuzzy logic and weight based techniques combines the four parameters for the CH selection. The cluster formation is based on the relative channel availability between the cluster member (CM) and CH to ensure stable cluster connectivity from link failure. To evaluate the proposed clustering algorithm, the performance of sensor networks is compared with CogLEACH, LEACH and CHEF routing protocols. The simulation results show that the proposed clustering algorithm effectively has a significant improvement with respect to the network stability without reducing the network instability and network lifetime. In addition, the proposed clustering solution also has a low and almost consistent CH energy consumption during the stability period indicating an efficient cluster formation.

Fuzzy Logic Based Clustering Algorithm for Wireless Sensor Networks

2020 ◽  
pp. 351-371 ◽  
Author(s):  
Hassan El Alami ◽  
Abdellah Najid
Keyword(s):  
Fuzzy Logic ◽  
Clustering Algorithm ◽  
Cluster Formation ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Modern Life ◽  
Routing Schemes ◽  
Network Operation ◽  
Simulation Results ◽  
Ch Selection

WSNs have many applications in modern life. Thus, optimization of the network operation is required to maximize its lifetime. The energy is a major issue in order to increase the lifetime of WSNs. The clustering algorithm is one of the proposed algorithms to enhance the lifetime of WSNs. The operation of the clustering algorithm is divided into cluster heads (CHs) selection and cluster formation. However, most of the previous works have focused on CHs selection, and have not considered the cluster formation process, which is the important issue in clustering algorithm based routing schemes, and it can drastically affect the lifetime of WSNs. In this paper, a Fuzzy Logic based Clustering Algorithm for WSN (CAFL) has been proposed to improve the lifetime of WSNs. This approach uses fuzzy logic for CHs selection and clusters formation processes by using residual energy and closeness to the sink as fuzzy inputs in terms of CH selection, and residual energy of CH and closeness to CHs as fuzzy inputs in terms of clusters formation. Simulation results justify its efficiency.

Energy Efficient Cluster-based Routing using Hybrid Approach of Fuzzy and Ida-Star for Wireless Sensor Networks

2021 ◽  
Author(s):  
Mohaideen Pitchai K
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Clustering Algorithm ◽  
Cluster Formation ◽  
Hybrid Approach ◽  
Cluster Head ◽  
Residual Energy ◽  
The Other ◽  
Cluster Head Selection

Abstract Appropriate cluster head selection can significantly reduce energy consumption and enhance the lifetime of the WSN. The choice of cluster heads, which is a pivotal step in the cluster-based algorithm, can seriously influence the performance of the clustering algorithm. Under normal circumstances, whether a node can be a cluster head or not depends not only on its energy level but also on the other factors such as energy consumption, channel lost, neighbor density, etc. In this sense, the selection of the cluster head can be regarded as a multiple criteria decision-making issue. This paper presents an Energy efficient Cluster Head selection using Fuzzy Logic (ECHFL) protocol, which combines the approaches of the fuzzy and IDA-star algorithm. This protocol selects the appropriate cluster head by using fuzzy inference rules. It uses three parametric descriptors such as residual energy, expected residual energy, and node centrality for the cluster formation and cluster head selection processes. These parameters contribute mainly for avoiding over-dissipation of energy in the network by selecting the suitable cluster head for the network. This protocol shows how fuzzy logic can be used in the cluster formation process to distribute the tasks and energy consumption over all the nodes. As a summary, the proposed protocol gives good performance results in comparison with the other protocols.

scholarly journals Spectrum Aware Cluster Formation Scheme for Cognitive Radio Sensor Network

2018 ◽  
Vol 7 (3.15) ◽  
pp. 105
Author(s):  
Noorhayati Mohamed Noor ◽  
Norashidah Md Din ◽  
Zolidah Kasiran
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Cognitive Radio ◽  
Sensor Network ◽  
Network Lifetime ◽  
Sensor Node ◽  
Cluster Formation ◽  
Common Channel ◽  
Cognitive Radio Sensor Network ◽  
Robust Cluster

In Cognitive Radio Sensor Network (CRSN), a cognitive radio sensor node operated on a dynamic spectrum allocation with limited computational and energy resource. A cognitive radio sensor node must vacate an occupied channel degrading its performance due to reclustering as the common channel no longer available. Furthermore, energy is mostly consumed during data transmission mechanism. Clustering is the best architecture model to minimize energy consumption among the nodes. With the objective of a robust cluster while maximizing network lifetime, a fuzzy logic technique is proposed. A metric named relative common channel is also proposed. The fuzzy logic combines two input parameters, the relative common channel and residual energy to elect the best suitable cluster head to minimize reclustering and maximize the network lifetime. The performance of the proposed algorithm is compared with LEACH, SAFCA and CogLEACH. The results show that the CRSN has more extended network lifetime and more balanced energy consumption attributed to the robust cluster formation. 

Fuzzy Logic Based Clustering Algorithm for Wireless Sensor Networks

2017 ◽  
Vol 6 (4) ◽  
pp. 63-82 ◽  
Author(s):  
Hassan El Alami ◽  
Abdellah Najid
Keyword(s):  
Fuzzy Logic ◽  
Clustering Algorithm ◽  
Cluster Formation ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Formation Processes ◽  
Modern Life ◽  
Routing Schemes ◽  
Network Operation ◽  
Ch Selection

WSNs have many applications in modern life. Thus, optimization of the network operation is required to maximize its lifetime. The energy is a major issue in order to increase the lifetime of WSNs. The clustering algorithm is one of the proposed algorithms to enhance the lifetime of WSNs. The operation of the clustering algorithm is divided into cluster heads (CHs) selection and cluster formation. However, most of the previous works have focused on CHs selection, and have not considered the cluster formation process, which is the important issue in clustering algorithm based routing schemes, and it can drastically affect the lifetime of WSNs. In this paper, a Fuzzy Logic based Clustering Algorithm for WSN (CAFL) has been proposed to improve the lifetime of WSNs. This approach uses fuzzy logic for CHs selection and clusters formation processes by using residual energy and closeness to the sink as fuzzy inputs in terms of CH selection, and residual energy of CH and closeness to CHs as fuzzy inputs in terms of clusters formation. Simulation results justify its efficiency.

scholarly journals Enhanced Clustering Algorithm based on Fuzzy Logic (E-CAFL) for WSN

2019 ◽  
Vol 20 (1) ◽  
pp. 41-54 ◽  
Author(s):  
Pawan Singh Mehra ◽  
Mohammad Najmud Doja ◽  
Bashir Alam
Keyword(s):  
Fuzzy Logic ◽  
Clustering Algorithm ◽  
Fuzzy Inference ◽  
Cluster Formation ◽  
Cluster Head ◽  
Residual Energy ◽  
Inference System ◽  
Premature Failure ◽  
System A ◽  
Balanced Clustering

Since longer lifetime of the network is utmost requirement of WSN, cluster formation can serve this purpose efficiently. In clustering, a node takes charge of the cluster to coordinate and receive information from the member nodes and transfer it to sink. With imbalance of energy dissipation by the sensor node, it may lead to premature failure of the network. Therefore, a robust balanced clustering algorithm can solve this issue in which a worthy candidate will play the cluster head role. In this paper, an enhanced clustering algorithm based on fuzzy logic E-CAFL is propound which is an improvement over CAFL protocol. E-CAFL takes account of the residual energy, node density in its locality and distance from sink and feed into fuzzy inference system. A rank of each node is computed for candidature of cluster coordinator. Experiments are performed for the designed protocol to validate its performance in adverse scenarios along with LEACH and CAFL protocol. The results illustrate better performance in stability period and protracted lifetime.

Developing Multi-Tier Network Design for Effective Energy Consumption of Cluster Head Selection in WSN

2016 ◽  
Vol 13 (1) ◽  
pp. 116
Author(s):  
Wan Isni Sofiah Wan Din ◽  
Saadiah Yahya ◽  
Mohd Nasir Taib ◽  
Ahmad Ihsan Mohd Yassin ◽  
Razulaimi Razali
Keyword(s):  
Sensor Network ◽  
Clustering Algorithm ◽  
Cluster Head ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Cluster Head Selection ◽  
Energy Usage ◽  
Network Cluster ◽  
Fuzzy Logic Approach ◽  
The Stability

Clustering in Wireless Sensor Network (WSN) is one of the methods to minimize the energy usage of sensor network. The design of sensor network itself can prolong the lifetime of network. Cluster head in each cluster is an important part in clustering to ensure the lifetime of each sensor node can be preserved as it acts as an intermediary node between the other sensors. Sensor nodes have the limitation of its battery where the battery is impossible to be replaced once it has been deployed. Thus, this paper presents an improvement of clustering algorithm for two-tier network as we named it as Multi-Tier Algorithm (MAP). For the cluster head selection, fuzzy logic approach has been used which it can minimize the energy usage of sensor nodes hence maximize the network lifetime. MAP clustering approach used in this paper covers the average of 100Mx100M network and involves three parameters that worked together in order to select the cluster head which are residual energy, communication cost and centrality. It is concluded that, MAP dominant the lifetime of WSN compared to LEACH and SEP protocols. For the future work, the stability of this algorithm can be verified in detailed via different data and energy. 

scholarly journals An Efficient Leader Node Selection for Movable Nodes in WSN using PSO Technique

2019 ◽  
Vol 8 (6) ◽  
pp. 5072-5078
Keyword(s):  
Energy Efficient ◽  
Network Performance ◽  
Clustering Algorithm ◽  
Group Formation ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Delivery Ratio ◽  
Efficient Prediction ◽  
The Stability ◽  
Effective Group

Wireless Sensor Networks (WSN) is a group of sensor devices, which are used to sense the surroundings. The network performance is still an issue in the WSN and an efficient protocol is introduced such as LEACH. To improve the stability, LEACH with fuzzy descriptors is used in preceding research. However the existing has drawback with effective group formation in heterogeneous WSN and also it is not achieved the Super Leader Node (SLH). To overcome the above mentioned issues, the proposed system enhances the approach which is used for increasing the energy consumption, packet delivery ratio, and bandwidth and network lifetime. The proposed paper contains three phases such as grouping formation, Leader Node (LN) selection, SLN selection with three main objectives:(i) to acquire Energy-Efficient Prediction Clustering Algorithm (EEPCA) in heterogeneous WSN for grouping formation (ii)To design Low Energy Adaptive Clustering Hierarchy- Expected Residual Energy (LEACH-ERE) protocol for LN selection.(iii)To optimize the SCH selection by Particle Swarm Optimization (PSO) based fuzzy approach. The clustering formation is done by Energy-Efficient Prediction Clustering Algorithm (EEPCA) in heterogeneous WSN. It is used to calculate the sensor nodes which have shortest distance between each node. The LEACH-ERE protocol was proposed to form a Leader Node (LN) and all the nodes has to communicate with sink through LN only. New SLN is elected based on distance from the sink and battery power of the node.

DEHCA: Load Balance Clustering Algorithm for Energy Heterogeneous WSN Based on Distance

2010 ◽  
Vol 44-47 ◽  
pp. 3294-3298 ◽  
Author(s):  
Ying Zhang ◽  
Gui Ling Sun ◽  
Wei Xiang Li
Keyword(s):  
Load Balance ◽  
Clustering Algorithm ◽  
Consumption Rate ◽  
Cluster Head ◽  
Residual Energy ◽  
Stability Period ◽  
New Concepts ◽  
The Stability ◽  
Energy Consumption Rate ◽  
Selection Of

Considering the characteristics of energy heterogeneous and the requirement of load balance in Wireless Sensor Network (WSN), a novel clustering routing, DEHCA was presented for energy heterogeneous WSN (EHWSN). Based on Node Distance in EHWSN, new concepts as Residual Energy, Energy Consumption Rate, Centroid Superiority, and Cluster Head Carrier Capacity, were introduced to weigh the selection of cluster head and realize the energy heterogeneous load balance. Simulation shows that load balance clustering routing for EHWSN based on distance could better prolong the stability period and enhance the load balance capacity.

Trusted energy aware cluster based routing using fuzzy logic for WSN in IoT

2021 ◽  
pp. 1-15
Author(s):  
A.R. Rajeswari ◽  
K. Kulothungan ◽  
Sannasi Ganapathy ◽  
Arputharaj Kannan
Keyword(s):  
Fuzzy Logic ◽  
Clustering Algorithm ◽  
Fuzzy Inference ◽  
Cluster Formation ◽  
Optimal Path ◽  
Life Time ◽  
Base Station ◽  
Energy Aware ◽  
Inference System ◽  
Cluster Based Routing

WSN plays a major role in the design of IoT system. In today’s internet era IoT integrates the digital devices, sensing equipment and computing devices for data sensing, gathering and communicate the data to the Base station via the optimal path. WSN, owing to the characteristics such as energy constrained and untrustworthy environment makes them to face many challenges which may affect the performance and QoS of the network. Thus, in WSN based IoT both security and energy efficiency are considered as herculean design challenges and requires important concern for the enhancement of network life time. Hence, to address these problems in this paper a novel secure energy aware cluster based routing algorithm named Trusted Energy Efficient Fuzzy logic based clustering Algorithm (TEEFCA) has been proposed. This algorithm consists of two major objectives. Firstly, the trustworthy nodes are identified, which may act as candidate nodes for cluster based routing. Secondly, the fuzzy inference system is employed under the two circumstances namely selection of optimal Cluster Leader (CL) and cluster formation process by considering the following three parameters such as (i) node’s Residual Energy level (ii) Cluster Density (iii) Distance Node BS. From, the experiment outcomes implemented using MATLAB it have been proved that TEEFCA shows significant improvement in terms of power conservation, network stability and lifetime when compared to the existing cluster aware routing approaches.

scholarly journals A NEW SPECTRUM AND ENERGY AWARE ROUTING PROTOCOL IN COGNITIVE RADIO SENSOR NETWORK

2018 ◽  
Vol 19 (2) ◽  
pp. 118-133
Author(s):  
Sayyed Majid Mazinani ◽  
Sara Moshtaghi
Keyword(s):  
Cognitive Radio ◽  
Sensor Networks ◽  
Sensor Network ◽  
Routing Protocol ◽  
Residual Energy ◽  
Small Scale ◽  
Spectrum Access ◽  
Energy Aware ◽  
Cognitive Radio Sensor Network ◽  
Energy Aware Routing

ABSTRACT: Cognitive radio sensor network (CRSN) is a new generation of communication systems that wants to solve the overcrowded spectrum utilization of the unlicensed bands. It has combined sensor networks and cognitive radio technology, so it has the challenges of energy restriction of sensors and also dynamic spectrum access of the cognitive radio network. On the other hand, considering both of these challenges in the routing protocol plays a basic role in network performance and we can’t apply the routing protocols that have been proposed for wireless sensor networks and cognitive radio networks, separately, in the CRSN. Therefore, this article has tried to provide a new spectrum and energy-aware routing protocol in which the source is able to choose the most stable route in the aspect of node residual energy or spectrum access probability. Not only can considering the nodal residual energy and spectrum access in the route discovery process avoid repetitive link failure, but it also can increase the network lifetime. This protocol has been compared with ESAC, SCR, ERP, and SER. The result of this comparison has shown that our protocol reduces end-to-end delay, control overhead, throughput, and lifetime in comparison to other protocols, especially in small-scale networks. ABSTRAK: Rangkaian sensor radio kognitif (CRSN) adalah generasi baru sistem telekomunikasi bagi menyelesaikan masalah kesesakan pada pemakaian band spektrum tidak berlesen. Ianya adalah kombinasi rangkaian sensor dan teknologi radio kognitif. Oleh itu, ia mempunyai cabaran sekatan tenaga pada sensor dan kemasukan spektrum secara dinamik pada rangkaian radio kognitif. Pada masa sama, dengan mengambil kira kedua-dua cabaran pada protokol rangkaian ini telah memainkan peranan asas pada prestasi rangkaian dan kami tidak boleh mengguna pakai protokol rangkaian yang telah diguna pakai pada rangkaian sensor tanpa wayar dan rangkaian radio kognitif secara asing dalam CRSN. Oleh itu, artikel ini cuba menyediakan spektrum baru dan pengawasan tenaga pada protokol rangkaian, di mana sumber boleh memilih laluan rangkaian yang stabil dengan mengambil kira pada aspek baki tenaga  nod atau kebarangkalian akses spektrum. Selain itu, ianya dapat mengelakkan kegagalan laluan berulang juga menambahkan jangka hayat rangkaian. Protokol ini telah dibandingkan dengan ESAC, SCR, ERP dan SER. Perbandingan keputusan menunjukkan protokol ini mengurangkan kelewatan hujung-ke-hujung, mengawal kesesakan, mambaiki jumlah penghantaran dan menambah tempoh hayat berbanding protokol lain, khususnya pada rangkaian skala kecil.

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