cluster head selection
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2022 ◽  
Vol 70 (1) ◽  
pp. 801-816
Author(s):  
J. Jean Justus ◽  
M. Thirunavukkarasan ◽  
K. Dhayalini ◽  
G. Visalaxi ◽  
Adel Khelifi ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8445
Author(s):  
Syed Kamran Haider ◽  
Aimin Jiang ◽  
Ahmad Almogren ◽  
Ateeq Ur Rehman ◽  
Abbas Ahmed ◽  
...  

Wireless sensor networks (WSNs) are one of the fundamental infrastructures for Internet of Things (IoTs) technology. Efficient energy consumption is one of the greatest challenges in WSNs because of its resource-constrained sensor nodes (SNs). Clustering techniques can significantly help resolve this issue and extend the network’s lifespan. In clustering, WSN is divided into various clusters, and a cluster head (CH) is selected in each cluster. The selection of appropriate CHs highly influences the clustering technique, and poor cluster structures lead toward the early death of WSNs. In this paper, we propose an energy-efficient clustering and cluster head selection technique for next-generation wireless sensor networks (NG-WSNs). The proposed clustering approach is based on the midpoint technique, considering residual energy and distance among nodes. It distributes the sensors uniformly creating balanced clusters, and uses multihop communication for distant CHs to the base station (BS). We consider a four-layer hierarchical network composed of SNs, CHs, unmanned aerial vehicle (UAV), and BS. The UAV brings the advantage of flexibility and mobility; it shortens the communication range of sensors, which leads to an extended lifetime. Finally, a simulated annealing algorithm is applied for the optimal trajectory of the UAV according to the ground sensor network. The experimental results show that the proposed approach outperforms with respect to energy efficiency and network lifetime when compared with state-of-the-art techniques from recent literature.


Author(s):  
Kit Guan Lim ◽  
Johnathan Fu Shen Fuah ◽  
Jin Fan ◽  
Helen Sin Ee Chuo ◽  
Min Keng Tan ◽  
...  

Author(s):  
R. Soundarya

Abstract: Wireless sensor networks are widely used due to its usage and advantages because it can utilize in mission critical tasks. One of the major issues in WSN is reliable data delivery without any loss and to increase network lifetime by utilizing energy efficient process. The objective of this work is to increase network lifetime at the same time ensuring high packet delivery ratio. Clustering is one of the best methods to increase network lifetime, however election process of cluster head will consume energy and reduces network performance. Therefore in proposed work, energy efficient cluster based routing protocol has been implemented which includes residual energy and distance as major parameter to form cluster. Cluster head selection will be a static process, once cluster is formed cluster head will be selected through election process after transaction the residual energy in CH will be checked with the threshold value and same CH will again act as head this reduces cluster formation and election process. In addition to provide secure data transaction MD5 algorithm has been implemented. Attack based data loss is also reduced and concentrated in proposed work to achieve objective of this work. Keywords: (SSCHS) Secure static cluster head selection, network lifetime, cluster, MD5 and Static cluster head.


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