scholarly journals Designing Secure Clustering Protocol With The Approach Of Reducing Energy Consumption In Wireless Sensor Networks

2013 ◽  
Vol 5 (4) ◽  
pp. 31-40 ◽  
Author(s):  
Sanaz Sadeghi ◽  
Behrouz Sadeghi
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Sercan Vançin ◽  
Ebubekir Erdem

Due to the restricted hardware resources of the sensor nodes, modelling and designing energy efficient routing methods to increase the overall network lifetime have become one of the most significant strategies in wireless sensor networks (WSNs). Cluster-based heterogeneous routing protocols, a popular part of routing technology, have proven effective in management of topology, energy consumption, data collection or fusion, reliability, or stability in a distributed sensor network. In this article, an energy efficient three-level heterogeneous clustering method (DEEC) based distributed energy efficient clustering protocol named TBSDEEC (Threshold balanced sampled DEEC) is proposed. Contrary to most other studies, this study considers the effect of the threshold balanced sampled in the energy consumption model. Our model is compared with the DEEC, EDEEC (Enhanced Distributed Energy Efficient Clustering Protocol), and EDDEEC (Enhanced Developed Distributed Energy Efficient Clustering Protocol) using MATLAB as two different scenarios based on quality metrics, including living nodes on the network, network efficiency, energy consumption, number of packets received by base station (BS), and average latency. After, our new method is compared with artificial bee colony optimization (ABCO) algorithm and energy harvesting WSN (EH-WSN) clustering method. Simulation results demonstrate that the proposed model is more efficient than the other protocols and significantly increases the sensor network lifetime.


2021 ◽  
Author(s):  
Ikram DAANOUNE ◽  
Abdennaceur BAGHDAD

Abstract Wireless Sensor Networks (WSNs) are extensively used in diferent areas and especially in severe and harsh environments such as battlegrounds, volcanic areas, healthcare, and so on. The major constraint in WSNs is the limited power supply, which impacts the lifeycle of the entire network. Clustering is a performing method used in WSN to optimize power consumption and extend the lifetime of WSNs. LEACH is considered as the first classical clustering protocol used in WSN to optimize energy consumption. Many protocols had been developed to enhance the conventional LEACH protocol. BRE-LEACH (Balanced Residual Energy LEACH) is one of them. It serves to enhance the performance of the LEACH protocol. In this paper, we suggest a new improved BRE-LEACH protocol called IBRE-LEACH (Improved Balanced Residual Energy LEACH), which ameliorates the performance of the BRE-LEACH approach. The IBRE-LEACH combines clustering and multi-hop techniques. It elects CHs according to the residual energy, limits the maximum number of nodes in each cluster to balance energy consumption. Thus, IBRE-LEACH gives the Abandoned Nodes (ANs) the chance to send their data to the BS. Furthermore, it routes the gathered data using the CHs, ANs, and a root node, which is a node with maximum residual energy and minimum distance to the BS. The simulation results in MATLAB exhibit that the IBRE-LEACH increases the throughput, optimizes energy consumption, extends the network lifetime, and ameliorates the stability up to 81.99%, 94.33%, and up to 91.47% compared with BRE-LEACH, LEACH-C, and LEACH, respectively.


2011 ◽  
Vol 186 ◽  
pp. 552-555
Author(s):  
Jing Huang ◽  
Hai Hua Li ◽  
Rui Yang ◽  
Hai Yan Chen

Data fusion is an important research issue in wireless sensor networks (WSN). The clustering based approach can reduce the interference among nodes, maintain the balance of energy consumption within WSNs, and therefore prolong the lifetime of WSNs. A clustering-based algorithm called LEACH-EC is presented in the paper. Aiming at solving the problems of the existing algorithms, the LEACH-EC takes the static clustering approach to reduce the energy consumption during clustering stage by first clustering sensors and then selecting the heads of respective clusters. When the heads of clusters send data to the base station, a proposed multi-hop strategy is adopted to further decrease the energy consumption of head sensors. Compared with the existing algorithms, the LEACH-EC has shown a good performance on both extending the lifetime of WSNs as well as reducing energy consumption of sensors.


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