scholarly journals Modern Secured Li-Fi Healthcare System by using Body Sensor Network

2019 ◽  
Vol 8 (12) ◽  
pp. 1427-1431
Keyword(s):  
Sensor Network ◽  
Healthcare System ◽  
German Scientist ◽  
Body Sensor Network ◽  
Proposed Model ◽  
Wireless Fidelity

This paper convenes checking patient's prosperity and giving a liberal disapproving of system using quick data trade advancement which is Li-Fi development. Light Fidelity as in the explained structure for Li-Fi was introduced and proposed by German scientist and physicist Harold Hass amied the Ted Global Talks, Edinburgh, Scotland. Li-Fi tackles the standard of clear light correspondence where LED is the wellspring of lighting up for trading the data. Li-Fi goes about as bidirectional, versatile, genuine and a complete organized remote advancement. The proposed model is used to develop a therapeutic administrations watching structure reliant on the thoughts of Li-Fi advancement, which can be an exceedingly convincing variable in crisis facilities and focuses. Li-Fi development is set to endure and override its past advancement which is Wireless Fidelity. Wi-Fi development is certain to have constrainments which are repeat impedances, multipath inciting, etc., which can cause defenselessness in the course of the last results (data)

Design and Implementation of a Remote Healthcare System Based on Wearable Body Sensor Network

2012 ◽  
Vol 542-543 ◽  
pp. 138-142
Author(s):  
Ming Lin Qiu ◽  
Chun Long Tu ◽  
Xue Song Ye
Keyword(s):  
Sensor Network ◽  
Healthcare System ◽  
Medical Monitoring ◽  
Home Gateway ◽  
Body Sensor Network ◽  
Aging Society ◽  
Remote Healthcare ◽  
Web Access ◽  
To Receive ◽  
Monitoring Devices

Traditional medical monitoring devices have some significant limitations for requirements of the aging society because of their complex wires. In order to solve these problems, a remote healthcare system is designed and implemented in this paper. This system consists of a BSN (Body Sensor Network), wireless gateways and a remote database. The BSN is used to expand the mobility of the monitoring devices. The PC-based home gateway is used to receive and display the data from sensors and transmit them to the remote database. In order to expand the mobility of the gateways, An Android based mobile phone is selected as a mobile gateway. At last, a simple web access is provided for the remote healthcare.

scholarly journals Smart Body Monitoring system using IoT and Machine Learning

2021 ◽  
Author(s):  
Mubeen Aslam Momin ◽  
Nutan Suresh Bhagwat ◽  
Akshay Vishwas Dhiwar ◽  
Sneha Bharat Chavhate ◽  
N S Devekar
Keyword(s):  
Sensor Network ◽  
Healthcare System ◽  
The Body ◽  
Sensor Nodes ◽  
Security Requirements ◽  
Wireless Sensor ◽  
Patient Privacy ◽  
Healthcare Applications ◽  
Wireless Sensor Nodes ◽  
Body Sensor Network

In the modern health care environment, the usage of IoT technologies brings convenience of physicians and patients, since they are applied to various medical areas. The body sensor network (BSN) technology is one of the core technologies of IoT developments in healthcare system, where a patient can be monitored using a collection of tiny-powered and lightweight wireless sensor nodes. However, the development of this new technology in healthcare applications without considering security makes patient privacy vulnerable. In this paper, at first, we highlight the major security requirements in BSN-based modern healthcare system. Subsequently, we propose a secure IoT-based healthcare system using BSN, called BSN-Care, which can efficiently accomplish those requirements. The body sensor network (BSN) technology is one of the most imperative technologies used in IoT-based modern healthcare system. It is basically a collection of low-power and lightweight wireless sensor nodes that are used to monitor the human body functions and surrounding environment. Since BSN nodes are used to collect sensitive (life-critical) information and may operate in hostile environments, accordingly, they require strict security mechanisms to prevent malicious interaction with the system.

A Study of Malware Propagation Dynamics in Wireless Sensor Network using Spatially Correlated Security Model

2020 ◽  
Vol 13 ◽  
Author(s):  
Satya Ranjan Biswal ◽  
Santosh Kumar Swain
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Network ◽  
Spatial Correlation ◽  
Malicious Code ◽  
Wireless Sensor ◽  
Epidemic Theory ◽  
Malware Propagation ◽  
Proposed Model ◽  
Propagation Dynamics

: Security is one of the important concern in both types of the network. The network may be wired or wireless. In case of wireless network security provisioning is more difficult in comparison to wired network. Wireless Sensor Network (WSN) is also a type of wireless network. And due to resource constraints WSN is vulnerable against malware attacks. Initially, the malware (virus, worm, malicious code, etc.) targets a single node of WSN for attack. When a node of WSN gets infected then automatically start to spread in the network. If nodes are strongly correlated the malware spreads quickly in the network. On the other hand, if nodes are weakly correlated the speed of malware spread is slow. A mathematical model is proposed for the study of malware propagation dynamics in WSN with combination of spatial correlation and epidemic theory. This model is based on epidemic theory with spatial correlation. The proposed model is Susceptible-Exposed-Infectious-Recover-Dead (SEIRD) with spatial correlation. We deduced the expression of basic reproduction number. It helps in the study of malware propagation dynamics in WSN. The stability analysis of the network has been investigated through proposed model. This model also helps in reduction of redundant information and saving of sensor nodes’ energy in WSN. The theoretical investigation verified by simulation results. A spatial correlation based epidemic model has been formulated for the study of dynamic behaviour of malware attacks in WSN.

Cross layer design with extensive virtual MIMO: FS-MUP optimization model for wireless sensor network

2020 ◽  
pp. 1-16
Author(s):  
Monali Prajapati ◽  
Dr. Jay Joshi
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Multiple Input Multiple Output ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Virtual Mimo ◽  
Proposed Model ◽  
Multiple Input ◽  
Input Multiple Output

In the wireless sensor network (WSN), wireless communication is said to be the dominant power-consuming operation and it is a challenging one. Virtual Multiple-Input–Multiple-Output (V-MIMO) technology is considered to be the energy-saving method in the WSN. In this paper, a novel multihop virtual MIMO communication protocol is designed in the WSN via cross-layer design to enhance the energy efficiency, reliability, and end-to-end (ETE) and Quality of Service (QoS) provisioning. On the basis of the proposed protocol, the optimal set of parameters concerning the transmission and the overall consumed energy by each of the packets is found. Furthermore, the modeling of ETE latency and throughput of the protocol takes place with respect to the bit-error-rate (BER). A novel hybrid optimization algorithm referred as Flight Straight Moth Updated Particle Swarm Optimization (FS-MUP) is introduced to find the optimal BER that meets the QoS, ETE requirements of each link with lower power consumption. Finally, the performance of the proposed model is evaluated over the extant models in terms of Energy Consumption and BER as well.

scholarly journals Synchronous Wearable Wireless Body Sensor Network Composed of Autonomous Textile Nodes

Sensors ◽  
2014 ◽  
Vol 14 (10) ◽  
pp. 18583-18610 ◽  
Author(s):  
Peter Vanveerdeghem ◽  
Patrick Van Torre ◽  
Christiaan Stevens ◽  
Jos Knockaert ◽  
Hendrik Rogier
Keyword(s):  
Sensor Network ◽  
Body Sensor Network
Sign in / Sign up

Export Citation Format

Share Document