scholarly journals Implementasi Zigbee Transceiver Untuk Akuisisi Data Sensor Inersia Pada Wireless Body Area Network (WBAN)

2017 ◽  
Vol 9 (1) ◽  
pp. 48
Author(s):  
Muhammad Ikhsan Sani
Keyword(s):  
Sensor Node ◽  
Wireless Body Area Network ◽  
Data Rate ◽  
Body Area Network ◽  
Area Network ◽  
Body Area

Laju pertambahan  jumlah penduduk yang membutuhkan layanan kesehatan di Indonesia tidak berbanding lurus dengan penambahan jumlah fasilitas kesehatan yang ada. Salah satu solusi alternatif yang dapat digunakan untuk mengatasi masalah tersebut adalah dengan mengembangkan teknologi  Wireless Body Area Network  (WBAN)  sebagai alat bantu layanan  kesehatan.  WBAN  adalah suatu sistem terpadu yang  terdiri atas sekelompok modul sensor yang terdistribusi dan terhubung secara nirkabel pada suatu topologi jaringan  tertentu dan berfungsi untuk mengekstrak dan berbagi informasi untuk diolah sesuai bidang aplikasinya.  Salah satu aplikasi WBAN adalah untuk  analisis gait atau metode untuk mempelajari pola berjalan manusia.  Untuk melakukan proses  analisis gait secara optimal dibutuhkan instrumen sensor  inersia  yang terpasang pada tubuh pasien yang merekam data gait dari pasien. Data dari pasien lalu dikirimkan melalui protokol komunikasi nirkabel ZigBee ke  network  coordinator  yang  berfungsi sebagai pengumpul data.  Jaringan  memiliki  topologi dalam bentuk  star dengan data rate  dari sensor  sebesar  50 Hz.  Data dari  network coordinator  kemudian dibaca pada  PC yang  telah dilengkapi perangkat lunak pengolah data untuk diolah  lebih lanjut.  Sistem diuji pada ruangan koridor sejauh 4 meter dengan nilai RSSI atau kuat sinyal bernilai paling kecil sebesar -64 dBm. Dalam hal konsumsi daya, sensor node dapat digunakan secara berkelanjutan dalam jangka waktu 2 jam 25 menit

Effect of mobility conditions on the throughput of the Wireless Body Area Network

2020 ◽  
Vol 10 ◽  
Author(s):  
Shilpa Shinde ◽  
Santosh Sonavane
Keyword(s):  
Mathematical Model ◽  
Wireless Body Area Network ◽  
Data Rate ◽  
Hand Movements ◽  
Body Area Network ◽  
Area Network ◽  
Mobility Patterns ◽  
Body Area ◽  
Insight Into ◽  
Leg Movements

Background and objective: In the Wireless Body Area Network (WBAN) sensors are placed on the human body; which has various mobility patterns like seating, walking, standing and running. This mobility typically assisted with hand and leg movements on which most of the sensors are mounted. Previous studies were largely focused on simulations of WBAN mobility without focusing much on hand and leg movements. Thus for realistic studies on performance of the WBAN, it is important to consider hand and leg movements. Thus, an objective of this paper is to investigate an effect of the mobility patterns with hand movements on the throughput of the WBAN. Method: The IEEE 802.15.6 requirements are considered for WBAN design. The WBAN with star topology is used to connect three sensors and a hub. Three types of mobility viz. standing, walking and running with backward and forward hand movements is designed for simulation purpose. The throughput analysis is carried out with the three sets of simulations with standing, walking and running conditions with the speed of 0 m/s, 0.5 m/s and 3 m/s respectively. The data rate was increased from 250 Kb to 10000 Kb with AODV protocol. It is intended to investigate the effect of the hand movements and the mobility conditions on the throughput. Simulation results are analyzed with the aid of descriptive statistics. A comparative analysis between the simulated model and a mathematical model is also introduced to get more insight into the data. Results: Simulation studies showed that as the data rate is increased, throughput is also increased for all mobility conditions however, this increasing trend was discontinuous. In the standing (static) position, the throughput is found to be higher than mobility (dynamic) condition. It is found that, the throughput is better in the running condition than the walking condition. Average values of the throughput in case of the standing condition were more than that of the dynamic conditions. To validate these results, a mathematical model is created. In the mathematical model, a same trend is observed. Conclusion: Overall, it is concluded that the throughput is decreased due to mobility of the WBAN. It is understood that mathematical models have given more insight into the simulation data and confirmed the negative effect of the mobility conditions on throughput. In the future, it is proposed to investigate effect of interference on the designed network and compare the results.

Wireless body area network mutual trust analysis technique for fault detection using software defined network (SDN)

2021 ◽  
Vol 40 (1) ◽  
pp. 575-589
Author(s):  
B. Manickavasagam ◽  
B. Amutha ◽  
M. Revathi ◽  
N. Karthick ◽  
K. Sree Kumar ◽  
...  
Keyword(s):  
Sensor Node ◽  
Environmental Changes ◽  
Wireless Body Area Network ◽  
Trust Model ◽  
Body Area Network ◽  
Area Network ◽  
Mutual Trust ◽  
Body Area ◽  
The Individual ◽  
Confidence Value

Wireless Sensor Node (WSN) helps to track inpatient and remote patient (home/working) health information. Mishandling of the electronic system, patient behaviour and environmental changes which are all lead to incorrect data generation while using WSN for medical purposes. It leads to a false alarm being raised, network resource wastage, a false node priority level and low reliability. We have introduced the Mutual Trust Model (MTM) for Wireless Body Area Network (WBAN) with the help of Fog-Node (FN) to address these issues and to ensure the trustworthiness of the information acquired. In this, First-Hand Trust Method calculates the confidence value of the individual sensor node. Then, with neighbor node support, the Stigmercy Trust Method (STM) is implemented to reinforce the trust source node. Ultimately, the individual patient’s confidence value for the MTM model is determined. With the assistance of the wireless-mininet network emulator and the RYU controller, the network environment model implement, and the results have been obtained. MTM predicts the confidence level of the collected data significantly and produces an accuracy of 92.3 percentage to prevent the emergency band from being used dispensable.

scholarly journals Application Of Health Detector (AHD) Dalam Mendeteksi Kesehatan Tubuh Berbasis Android

2021 ◽  
Vol 8 (3) ◽  
pp. 1470-1482
Author(s):  
Ade Silvia Handayani
Keyword(s):  
Real Time ◽  
Sensor Node ◽  
Wireless Body Area Network ◽  
Body Area Network ◽  
Area Network ◽  
Android Application ◽  
Body Area

Wireless Body Area Network (WBAN) merupakan perangkat elektronik yang menggunakan metode jaringan sensor untuk bertujuan diterapkan di peralatan medis. Dalam beberapa tahun terakhir, minat terhadap WBAN semakin meningkat karena telah menjadi bidang penelitian yang penting. Pada penelitian ini akan merancang aplikasi android Application Of Health Detector (AHD) untuk mendeteksi kesehatan tubuh. Aplikasi yang telah dirancang sudah berhasil mendeteksi kesehatan tubuh secara otomatis dengan menampilkan nilai dari masing-masing pembacaan sensor, yakni suhu tubuh, detak jantung, tekanan darah, dan kadar oksigen dalam darah. Teknologi ini menyediakan sistem pemantauan kesehatan jarak jauh secara real time. Melalui penggunaan sensor node pada tubuh manusia untuk mendeteksi kesehatan tubuh dan mengirimkannya ke server serta menampilkan status kesehatan tubuh pada aplikasi android berupa deteksi sehat, indikasi atau butuh tindakan. Diharapkan dengan adanya aplikasi deteksi kesehatan ini dapat mempermudah masyarakat dalam mengetahui kondisi kesehatan tubuh.

scholarly journals SCHEDULED ACCESS STRATEGY FOR IMPROVING SENSOR NODE BATTERY LIFE TIME AND DELAY ANALYSIS OF WIRELESS BODY AREA NETWORK

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
S. Ezhil Pradha ◽  
A. Moshika ◽  
N. Balaji ◽  
K. Andal ◽  
G. Sambasivam ◽  
...  
Keyword(s):  
Sensor Node ◽  
Wireless Body Area Network ◽  
Life Time ◽  
Battery Life ◽  
Delay Analysis ◽  
Body Area Network ◽  
Area Network ◽  
Body Area

A Low-Energy Crystal-Less Double-FSK Sensor Node Transceiver for Wireless Body-Area Network

2012 ◽  
Vol 47 (11) ◽  
pp. 2678-2692 ◽  
Author(s):  
Joonsung Bae ◽  
Kiseok Song ◽  
Hyungwoo Lee ◽  
Hyunwoo Cho ◽  
Hoi-Jun Yoo
Keyword(s):  
Sensor Node ◽  
Wireless Body Area Network ◽  
Low Energy ◽  
Body Area Network ◽  
Area Network ◽  
Body Area
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