Secure Data Collection Scheme in Wireless Sensor Network with Mobile Sink

2008 ◽  
Author(s):  
Amar Rasheed ◽  
Rabi Mahapatra
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Sensor Network ◽  
Mobile Sink ◽  
Wireless Sensor ◽  
Secure Data

scholarly journals An Fuzzy Trust Based Energy Aware Multipath Secure Data Collection in WSN

2018 ◽  
Vol 7 (3.27) ◽  
pp. 371
Author(s):  
Y Chitti Babu ◽  
Ch Anuradha ◽  
P Sri Rama Chandra Murty
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Shuffled Frog Leaping Algorithm ◽  
Energy Aware ◽  
Secure Data ◽  
Shuffled Frog Leaping ◽  
Data Group ◽  
Fuzzy Trust

A Wireless Sensor Network (WSN) is an array of radar nodules that energetically organize itself into a cable-less grid without utilizing any prevailing arrangement. One of the significant issues in WSNs is the drive’s intake, whereby the grid’s lifespan is reliant on this aspect. Security is another significant issues in cable-less radar grids, because of absence of wire/cable besides resource constraint’s nature. Reliance model shows a key role in fortifying the radar grids by recognizing the egotistical, malevolent and give-in nodules and separating them from message grid. Directed Random Propagation (DRP) operates two-hop vicinity data to enhance the circulation competence, leading to a reduced pack capture possibility. In this study, Shuffled Frog Leaping Algorithm (SFLA) is applied to augment ill-defined faith centered drive conscious multiple route locked data group in WSN.  

scholarly journals Robust and Secure Data Fusion Algorithm Based on Intelligent Sensing in Wireless Sensor Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Yong Cheng ◽  
Jun Wang ◽  
Shuqiang Ji ◽  
Ling Yang
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Data Fusion ◽  
Data Acquisition ◽  
Sensor Network ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Fusion Algorithm ◽  
Space Correlation ◽  
Secure Data

Presently, the wireless sensor network (WSN) plays an important role in smart farming. However, due to the limitation of wireless sensor network resources, the time and space correlation of data acquisition is strong. In order to reduce the number of nodes participating in data compression, the robust and secure data fusion algorithm based on intelligent sensing is proposed. The algorithm can divide the whole network into many clusters. In order to maintain energy balance of nodes in the cluster, the probability of each node in each cluster participating in each round of data collection is computed according to the residual energy of the node. On the sink node, the number of sampling rounds of joint reconstruction of collected data is designated according to the application requirements and reconstruction accuracy requirements, and the number of nodes participating in is further reduced. The simulation results show that the number of nodes participating in the data collection of the proposed scheme in this paper is lower than that of the ordinary intelligent sensing LEACH data acquisition scheme. Meanwhile, the proposed scheme can dramatically extend the network lifetime. This paper provides an insight into various needs of WSN used in agriculture and challenges involved in the deployment of WSN.

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