Energy Harvesting-Assisted Cognitive Sensor Nodes in Wireless Body Area Networks

Author(s):  
Alok Kumar Shukla ◽  
Prabhat K. Upadhyay ◽  
Abhishek Srivastava ◽  
Jules M. Moualeu
2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Xin Qi ◽  
Kun Wang ◽  
AnPeng Huang ◽  
Haifeng Hu ◽  
Guangjie Han

Wireless body area networks (WBANs) have become a leading solution in mobile health (mHealth). Typically, a WBAN consists of in-body or around-body sensor nodes for collecting data of physiological feature. For a WBAN to provide high throughput and low delay in an energy-efficient way, designing an efficient medium access control (MAC) protocol is of paramount importance because the MAC layer coordinates nodes’ access to the shared wireless medium. To show the difference of MAC protocols between Energy-Harvesting wireless body area networks (EH-WBANs) and battery powered WBANs (BT-WBANs), this paper surveys the latest progresses in energy harvesting techniques and WBAN MAC protocol designs. Furthermore, a novel energy utility architecture is designed to enable sensor node lifetime operation in an EH-WBAN.


PLoS ONE ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. e0214716 ◽  
Author(s):  
Md Khurram Monir Rabby ◽  
Mohammad Shah Alam ◽  
MST Shamim Ara Shawkat

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 404
Author(s):  
Yasmeen Al-Saeed ◽  
Eman Eldaydamony ◽  
Ahmed Atwan ◽  
Mohammed Elmogy ◽  
Osama Ouda

Wireless Body Area Networks (WBANs) are increasingly employed in different medical applications, such as remote health monitoring, early detection of medical conditions, and computer-assisted rehabilitation. A WBAN connects a number of sensor nodes implanted in and/or fixed on the human body for monitoring his/her physiological characteristics. Although medical healthcare systems could significantly benefit from the advancement of WBAN technology, collecting and transmitting private physiological data in such an open environment raises serious security and privacy concerns. In this paper, we propose a novel key-agreement protocol to secure communications among sensor nodes of WBANs. The proposed protocol is based on measuring and verifying common physiological features at both sender and recipient sensors prior to communicating. Unlike existing protocols, the proposed protocol enables communicating sensors to use their previous session pre-knowledge for secure communication within a specific period of time. This will reduce the time required for establishing the shared key as well as avoid retransmitting extracted features in the medium and hence thwarting eavesdropping attacks while maintaining randomness of the key. Experimental results illustrate the superiority of the proposed key agreement protocol in terms of both feature extraction and key agreement phases with an accuracy of 99.50% and an error rate of 0.005%. The efficacy of the proposed protocol with respect to energy and memory utilization is demonstrated compared with existing key agreement protocols.


2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Tong Li ◽  
Yuhui Zheng ◽  
Ti Zhou

Wireless body area networks (WBANs) are widely used in telemedicine, which can be utilized for real-time patients monitoring and home health-care. The sensor nodes in WBANs collect the client’s physiological data and transmit it to the medical center. However, the clients’ personal information is sensitive and there are many security threats in the extra-body communication. Therefore, the security and privacy of client’s physiological data need to be ensured. Many authentication protocols for WBANs have been proposed in recent years. However, the existing protocols fail to consider the key update phase. In this paper, we propose an efficient authenticated key agreement scheme for WBANs and add the key update phase to enhance the security of the proposed scheme. In addition, session keys are generated during the registration phase and kept secretly, thus reducing computation cost in the authentication phase. The performance analysis demonstrates that our scheme is more efficient than the currently popular related schemes.


2021 ◽  
pp. 1-1
Author(s):  
Alok Kumar Shukla ◽  
Prabhat Kumar Upadhyay ◽  
Abhishek Srivastava ◽  
Jules Mouatcho Moualeu

Sign in / Sign up

Export Citation Format

Share Document