scholarly journals A Fuzzy based Methods in Wireless Body Area Network for Controlling Congestion

2019 ◽  
Vol 8 (9S) ◽  
pp. 721-725
Keyword(s):  
Fuzzy Inference ◽  
Traditional Approach ◽  
Medical Science ◽  
Wireless Body Area Network ◽  
Path Loss ◽  
Body Area Network ◽  
Area Network ◽  
Body Parts ◽  
Body Area ◽  
Inference System

With the wireless communication, the ways of communication in present era of technology has changed which helps in fastest and efficient way of communication in each and every domain. In the field of medical science, to sense the human body activities such as heartbeat, blood pressure and other activities performed by internal body parts of the human, Wireless Sensor Network is employed. Then this sensed data is transmitted to the centralized server. The information that is collected is made to transfer to the destination through a dedicated route created by routing protocols in form of data packets. Thus, the network sometimes faces the issue of congestion due to increased data traffic to the nodes. The present paper defines an enhanced congestion handling concept for Wireless Body Area Network. For this purpose, the cost function of the nodes is evaluated on the basis of major factors such as distance, residual energy and delay. Additionally, by applying the Fuzzy Inference System, the congestion control model is executed. It also improves the routing strategy by introducing the firefly algorithm based forward-looking node selection approach. For evaluation, the proposed work is simulated in MATLAB and compared with the traditional congestion technique. The simulation results show that the lifetime of the network increases by 30%. The efficiency of packet received at sink improves by 18%. Path loss in the present study is 33% less as compared to traditional approach. And, also consumes near about 8% less energy.

scholarly journals Proposed New Framework Scheme for Path Loss in Wireless Body Area Network

2022 ◽  
pp. 11-21
Author(s):  
Israa Al_Barazanchi ◽  
Yitong Niu ◽  
Haider Rasheed Abdulshaheed ◽  
Wahidah Hashim ◽  
Ammar Ahmed Alkahtani ◽  
...  
Keyword(s):  
Wireless Body Area Network ◽  
Path Loss ◽  
Signs And Symptoms ◽  
Medical Doctor ◽  
Body Area Network ◽  
Area Network ◽  
Body Area ◽  
Technical Developments ◽  
Video Display Unit ◽  
New Framework

Recent technical developments in wi-fi networking, microelectronic integration and programming, sensors and the Internet have enabled us to create and enforce a range of new framework schemes to fulfil the necessities of healthcare-related wireless body area network (WBAN). WBAN sensors continually screen and measure patients’ indispensable signs and symptoms, and relay them to scientific monitoring for diagnosis. WBAN has a range of applications, the most necessary of which is to help patients suffering diseases to stay alive. The quality instance is the coronary heart implant sensor, whose video display unit monitors coronary heart sign and continuously transmits it. This setup eliminates the need for patients to visit the medical doctor frequently. Instead, they can take a seat at home and acquire an analysis and prescription for the disease. Today, a sizable effort is being made to increase low-power sensors and gadgets for utility in WBAN. A new framework scheme that addresses route loss in WBAN and discusses its penalties in depth is endorsed in this paper. The new framework scheme is applied to three case scenarios to obtain parameters by measuring vital information about the human body. On-body and intrabody conversation simulations are conducted. On-body conversation findings show that the route loss between transmitter and receiver rises with growing distance and frequency

Energy Efficient and Quality of Service Compromise Techniques for Wireless Body Area Networks

2019 ◽  
Vol 16 (12) ◽  
pp. 5055-5062
Author(s):  
Shaik Mahammad Rasool ◽  
Abdul Wasay Mudasser ◽  
Shad Aqueel Ahmed Abdul Gafoor
Keyword(s):  
Energy Efficiency ◽  
Mac Protocol ◽  
Medical Science ◽  
Wireless Body Area Network ◽  
Sensor Nodes ◽  
Body Area Network ◽  
Area Network ◽  
Large Network ◽  
Body Area ◽  
Scheduled Traffic

In the present era the use of e-health plays a major role in the field of medical science. Today a significant attraction interest is towards Wireless Body area network (WBAN). The major challenges of Wireless Body area network (WBAN) technique are to maintain the quality service and to track the network stability for a longer time, e.g., probability of delivery, and latency. The main important issue is to maintain the energy efficiency within the formed network. Here we propose a protocol for WBANs based on MAC using the multi-dimension (MD) graph optimization to compromise the energy consumption and QoS in data transmission. In WBANs, low battery performing on-body or inculcate biomedical sensor nodes are applicable to observe and gathers the physiological signals like body temperature, blood pressure, ECG and EEG. The MAC protocol design utilizes an optimization algorithm to optimize the scheduled traffic and channel of WBAN. The proposed protocol simulation results will be better than TDMA, CA-MAC and IEEE 802.15.6 MAC in terms of energy efficiency and QoS for large network conditions.

scholarly journals Optimized Channel Decision & Secure Data Transmission for Health Monitoring Using Wireless Body Area Network Through Cognitive Controller

2021 ◽  
Author(s):  
R. Rajaguru ◽  
K. Vimala Devi ◽  
P. Marichamy
Keyword(s):  
Health Care ◽  
Selection Process ◽  
Wireless Body Area Network ◽  
Channel Selection ◽  
Daily Routine ◽  
Body Area Network ◽  
Area Network ◽  
Body Area ◽  
Inference System ◽  
The Impact

Abstract Remote monitoring system has been applied in different applications such as agriculture, industrial automation, defence, telecommunication and health care. In health care applications, wireless networks get the impact with Wireless Body Area Network (WBAN). WBAN is helpful in monitoring patients’ health and it also possesses secure transmission and access control mechanism with different sensors. WBAN monitors the patient’s health and transfers the information to data pool without influencing patient’s daily routine activities. Further, the health report data are sent to the doctor over the network from the place of the patient without any data loss and delay. Due to increasing usage of wireless services, the available networks have been congested with heavy traffic which leads to miscommunication and delay. To overcome this scenario, solution has been proposed with help of Cognitive Radio Networks (CRN). Collected information are transferred to cognitive controller which acts as central node. Cognitive controller selects the channel to transfer the information with QoS as well as without any delay. Based on the input parameters, the channel selection process is optimized and it will also improve the system performance with secure transmissions. Using Fuzzy Inference System (FIS) optimizing, the channel selection process has been carried out and it also provides more accurate solution to choose the channel. For the optimization of the proposed approach Mamdani and Sugeno methods have been used. These methods yield the best results with minimum error probability of 0.9 compared to the existing methods and these methods have achieved efficiencies of 98% and 99%, respectively.

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.

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