Wireless Sensor Networks for Healthcare Monitoring

Author(s):  
Ioana Borz ◽  
Tudor Palade ◽  
Emanuel Puschita ◽  
Paul Dolea ◽  
Andra Pastrav
Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3663 ◽  
Author(s):  
Seyed Aghili ◽  
Hamid Mala ◽  
Pedro Peris-Lopez

Heterogeneous wireless sensor networks (HWSNs) are employed in many real-time applications, such as Internet of sensors (IoS), Internet of vehicles (IoV), healthcare monitoring, and so on. As wireless sensor nodes have constrained computing, storage and communication capabilities, designing energy-efficient authentication protocols is a very important issue in wireless sensor network security. Recently, Amin et al. presented an untraceable and anonymous three-factor authentication (3FA) scheme for HWSNs and argued that their protocol is efficient and can withstand the common security threats in this sort of networks. In this article, we show how their protocol is not immune to user impersonation, de-synchronization and traceability attacks. In addition, an adversary can disclose session key under the typical assumption that sensors are not tamper-resistant. To overcome these drawbacks, we improve the Amin et al.’s protocol. First, we informally show that our improved scheme is secure against the most common attacks in HWSNs in which the attacks against Amin et al.’s protocol are part of them. Moreover, we verify formally our proposed protocol using the BAN logic. Compared with the Amin et al.’s scheme, the proposed protocol is both more efficient and more secure to be employed which renders the proposal suitable for HWSN networks.


2017 ◽  
Vol 63 (4) ◽  
pp. 442-449 ◽  
Author(s):  
Nilanjan Dey ◽  
Amira S. Ashour ◽  
Fuqian Shi ◽  
Simon James Fong ◽  
R. Simon Sherratt

Author(s):  
Gopal Ram, Chetan Kumar

These days Wireless Sensor Networks (WSN) have been used in various Internet of Things (IoT) applications viz., healthcare monitoring, disaster management, smart buildings, smart farming etc. it is one of the substitutes for solving distinct problems of IoT in various areas. This paper proposed a hybrid clustering and routing algorithm. We develop a simulation area for node movement and communication. A hybrid clustering and routing (HCR) protocol proposed for reliable and efficient data collection in large-scale wireless sensor network. Theoretical analysis and simulation results will prove the connectivity and efficiency of the network topology generated by HCR.


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