A Critical Review on Recent Research on Reliable Communication for Wireless Body Area Network

Author(s):  
Nabila Samouni ◽  
Abdelillah Jilbab ◽  
Ahmed Hammouch

: Recently the Wireless Body Area Network (WBAN) technology has appeared as a subcategory of wireless sensor network (WSN) to improve the quality of life. For such medical system, the improving of reliability becomes very critical research issue because the patient requires continuous monitoring via network. On the other hand, a special attention must be given to the energy consumption because the WBAN nodes must be able to operate for long duration without being recharged or replaced. In this Paper, we have carried out survey of various existing mechanisms, recent techniques and protocols used for reliable communication and energy efficiency under low delay constraints in remote patient monitoring system. This survey depicts that the existing solutions can be further modified to devise more reliable solutions.

2020 ◽  
Vol 14 ◽  
Author(s):  
Tejinder Kaur ◽  
Navneet Kaur ◽  
Gurleen Sidhu

: The expansion in an average lifetime and increased cost of health analysis have resulted in cost-effective methods for healthcare monitoring. Wireless Body Area Network (WBAN) is used for continuous monitoring of patient to enhance health care and quality of life. As the sensors worn on the human body have small size, low transmission power and restricted battery, it necessitates the development of energy efficient routing protocols for increasing the network lifetime. This paper proposes an Optimized Energy Efficient and Quality-of-Service aware Routing Protocol (OEEQR) to achieve longer network lifetime, energy efficiency, lower delay and high throughput. In the proposed protocol, the cost function with residual energy, distance and path loss as its parameters is optimized using Particle Swarm Optimization (PSO) technique. The proposed cost function determines the best feasible next hop to send the data to the sink.


Author(s):  
Geshwaree Huzooree ◽  
Kavi Kumar Khedo ◽  
Noojehan Joonas

The confluence of wireless body area network (WBAN) advancement has led to a great shift in the healthcare sector and has enormous potential to reduce long-term costs, social problems, workforce issues, and improve quality of healthcare service. Based on existing literature on WBANs, technologies, and standards, a WBAN is proposed to bridge the gap of information between patients and healthcare professional through sharing of high quality of information (QoI) whereby the latter can have real-time and historical view of patient's condition for effective and timely monitoring. This feature will also address the time and space restriction of healthcare service. Moreover, a best fit glucose prediction model considering various exogenous inputs based on autoregressive (ARX) model is proposed to perform data analytics in a WBAN system. The performance of the model is evaluated through performance metrics. Potential challenges and future research work are pointed out for further development of WBAN.


2019 ◽  
Vol 15 (1) ◽  
pp. 155014771881584 ◽  
Author(s):  
Abdullahi Ibrahim Abdu ◽  
Oguz Bayat ◽  
Osman Nur Ucan

Wireless body area network is a type of wireless sensor network that enables efficient healthcare system. To minimize frequent sensor replacement due to resource restrictions, it is necessary to improve energy efficiency in wireless body area network. This article deals with energy efficiency and quality-of-service improvement together in novel wireless body area network architecture. A novel wireless body area network architecture is designed with dual sink nodes in order to minimize delay and energy consumption. A novel insistence-aware medium access control protocol which is aware of criticality of sensed data is presented in the proposed wireless body area network. Prior knowledge-based weighted routing algorithm is responsible to select optimal route for data transmission. In prior knowledge-based weighted routing, weight value is computed by considering significant metrics such as residual energy, link stability, distance, and delay in order to improve energy efficiency and quality of service in the network. Energy consumption is further minimized by incorporating graph-based sleep scheduling algorithm. In graph-based sleep scheduling, criticality of sensor node is also considered as major metric. In coordinator, split and map–based neural network classifier is involved to perform packet classification. After classification, packets are assigned to corresponding sink node according to packet type. Then, throughput and delay metrics are improved by frame aggregation process which is involved in sink node. Extensive simulation in OMNeT++ shows better performance in network lifetime, throughput, residual energy, dropped packets, and delay.


Author(s):  
Shilpa Shinde ◽  
Santosh Sonavane

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.


Author(s):  
Suthisa Kesorn ◽  
Norakamon Wongsin ◽  
Thinnawat jangjing ◽  
Chatree Mahatthanajatuphat ◽  
Paitoon Rakluea

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