scholarly journals Reliable and Efficient Data Communication Protocol for WBAN-Based Healthcare Systems

Author(s):  
Nawel Yessad ◽  
Mawloud Omar

Wireless Body Area Networks (WBANs) become very attractive in the research community area and are getting growing interest because of their suitability for medical applications. They are designed such, they can be located on, in or around the patient body and are used to monitor medical signs and forward them to medical servers. Proficient energy and Quality of Service (QoS) are the main requirements for a dependable design in a such networks. In this article, the authors propose a reliable and power efficient routing approach for healthcare systems with the aim to balance the trade-off between the QoS requirements and the energy consumption. Their approach operates in an efficient computation way, where the sink device manages the routing paths avoiding the sensors to be involved in computation and consequently on the energy consumption. They conducted intensive simulations and the obtained results show that Their approach offers effective results in terms of transmission load, response time and energy consumption.

Author(s):  
Mukhwinder Kaur

Abstract: Routing in Wireless Sensor Networks (WSNs) plays an important role in areas such as environment-oriented surveillance and traffic monitoring. Here we have explored the large contribution of routing to WSNs. This paper is primarily intended to categorize routing issues and investigate optimization issues related to routing. The following describes various features related to routing energy, security, speed, and reliability issues. The documentation is then analyzed for simulated environments and test configurations, knowledge of quality of service (QoS) and implementations in various applications.. Keywords: Wireless Sensor Networks; reliability, energy-efficient data communication; energy management; energy enviorment


2018 ◽  
Vol 56 (1) ◽  
pp. 107-120
Author(s):  
Aleksander J. Owczarek ◽  
Mike Smertka ◽  
Przemysław Jędrusik ◽  
Anita Gębska-Kuczerowska ◽  
Jerzy Chudek ◽  
...  

Abstract Statistics is the science of collection, summarizing, presentation and interpretation of data. Moreover, it yields methods used in the verification of research hypotheses. The presence of a statistician in a research group remarkably improves both the quality of design and research and the optimization of financial resources. Moreover, the involvement of a statistician in a research team helps the physician to effectively utilize the time and energy spent on diagnosing, which is an important aspect in view of limited healthcare resources. Precise, properly designed and implemented Computerized Clinical Decision Support Systems certainly lead to the improvement of healthcare and the quality of medical services, which increases patient satisfaction and reduces financial burdens on healthcare systems.


2021 ◽  
Author(s):  
Saeed Javid ◽  
Abbas Mirzaei

Abstract Healthcare is an important application of Internet of things (IoT) and body sensor networks (BSNs). Known as a method of measuring and collecting data in healthcare applications, a BSN must provide more reliable routing. Therefore, it is necessary to develop a method for reducing communication rates and improving reliability in healthcare systems. This paper proposes a novel method for routing data packets to enhance reliability in IoT-based healthcare systems. Given the nature of healthcare systems and importance of energy consumption, the proposed method employs different criteria (residual energy and variance of distance from neighbours) to perform the routing process. The results of implementing the proposed method indicated its acceptable performance in comparison with LSR, OLSR, and MAEB protocols. The method also managed to achieve the goals of retaining the quality of packets received by the sink and reducing energy consumption in healthcare systems.


2010 ◽  
Author(s):  
Henning Schröder ◽  
Lars Brusberg ◽  
Lutz Stobbe ◽  
Tolga Tekin

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Geovandro C. C. F. Pereira ◽  
Renan C. A. Alves ◽  
Felipe L. da Silva ◽  
Roberto M. Azevedo ◽  
Bruno C. Albertini ◽  
...  

The deployment of security services over Wireless Sensor Networks (WSN) and IoT devices brings significant processing and energy consumption overheads. These overheads are mainly determined by algorithmic efficiency, quality of implementation, and operating system. Benchmarks of symmetric primitives exist in the literature for WSN platforms but they are mostly focused on single platforms or single operating systems. Moreover, they are not up to date with respect to implementations and/or operating systems versions which had significant progress. Herein, we provide time and energy benchmarks of reference implementations for different platforms and operating systems and analyze their impact. Moreover, we not only give the first benchmark results of symmetric cryptography for the Intel Edison IoT platform but also describe a methodology of how to measure energy consumption on that platform.


2022 ◽  
Vol 2022 ◽  
pp. 1-12
Author(s):  
N. Arivazhagan ◽  
K. Somasundaram ◽  
D. Vijendra Babu ◽  
M. Gomathy Nayagam ◽  
R. M. Bommi ◽  
...  

Considering task dependencies, the balancing of the Internet of Health Things (IoHT) scheduling is considered important to reduce the make span rate. In this paper, we developed a smart model approach for the best task schedule of Hybrid Moth Flame Optimization (HMFO) for cloud computing integrated in the IoHT environment over e-healthcare systems. The HMFO guarantees uniform resource assignment and enhanced quality of services (QoS). The model is trained with the Google cluster dataset such that it learns the instances of how a job is scheduled in cloud and the trained HMFO model is used to schedule the jobs in real time. The simulation is conducted on a CloudSim environment to test the scheduling efficacy of the model in hybrid cloud environment. The parameters used by this method for the performance assessment include the use of resources, response time, and energy utilization. In terms of response time, average run time, and lower costs, the hybrid HMFO approach has offered increased response rate with reduced cost and run time than other methods.


2021 ◽  
Vol 11 (16) ◽  
pp. 7672
Author(s):  
Yousef Abbaspour-Gilandeh ◽  
Mohammad Kaveh ◽  
Hamideh Fatemi ◽  
Esmail Khalife ◽  
Dorota Witrowa-Rajchert ◽  
...  

This study is focused on the influence of convective drying (50, 60, and 70 °C) and infrared (IR) power (250, 500, and 750 W) on the drying kinetics, the specific energy consumption of terebinth drying as well as quality and bioactive compounds upon various pretreatments such as ultrasound (US), blanching (BL), and microwave (MW). Compared to convective drying, IR drying decreased more the drying time and energy consumption (SEC). Application of higher IR powers and air temperatures accelerated the drying process at lower energy consumption (SEC) and higher energy efficiency and moisture diffusion. Terebinth dried by a convective dryer at 60 °C with US pretreatment showed a better color compared to other samples. It also exhibited the polyphenol and flavonoid content of 145.35 mg GAE/g d.m. and 49.24 mg QE/g d.m., respectively, with color variations of 14.25 and a rehydration rate of 3.17. The proposed pretreatment methods significantly reduced the drying time and energy consumption, and from the other side it increased energy efficiency, bioactive compounds, and quality of the dried samples (p < 0.01). Among the different pretreatments used, microwave pretreatment led to the best results in terms of the drying time and SEC, and energy efficiency. US pretreatment showed the best results in terms of preserving the bioactive compounds and the general appearance of the terebinth.


2003 ◽  
pp. 61-75
Author(s):  
V. Guelbras

The article is devoted to verification of the Chinese GDP data. The author compares the rates of GDP growth with the rates of growth of energy consumption, transport turnover of goods, and numbers of projected and constructed objects in 1980-2000. The former was significantly lower during that period. He also analyses the level of using productive capacities and the quality of production. About 25-30% of industrial productive capacities are not used because there is neither national nor international demand for their low quality goods. The main conclusion of the article is that the Chinese GDP real size is about 20-30% less than official releases.


Author(s):  
Premkumar Chithaluru ◽  
Rajeev Tiwari ◽  
Kamal Kumar

Background: Energy Efficient wireless routing has been an area of research particularly to mitigate challenges surrounding performance in category of Wireless Networks. Objectives: The Opportunistic Routing (OR) technique was explored in recent times and exhibits benefits over many existing protocols and can significantly reduce energy consumption during data communication with very limited compromise on performance. Methods : Using broadcasting nature of the wireless medium, OR practices to discourse two foremost issues of variable link quality and unpredictable node agility in constrained WSNs. OR has a potential to reduce delay in order to increase the consistency of data delivery in network. Results : Various OR based routing protocols have shown varying performances. In this paper, a detailed conceptual and experimental analysis is carried out on different protocols that uses OR technique for providing more clear and definitive view on performance parameters like Message Success Rate, Packet Delivery Ratio and Energy Consumption.


Author(s):  
Ahmad Reza Jafarian-Moghaddam

AbstractSpeed is one of the most influential variables in both energy consumption and train scheduling problems. Increasing speed guarantees punctuality, thereby improving railroad capacity and railway stakeholders’ satisfaction and revenues. However, a rise in speed leads to more energy consumption, costs, and thus, more pollutant emissions. Therefore, determining an economic speed, which requires a trade-off between the user’s expectations and the capabilities of the railway system in providing tractive forces to overcome the running resistance due to rail route and moving conditions, is a critical challenge in railway studies. This paper proposes a new fuzzy multi-objective model, which, by integrating micro and macro levels and determining the economical speed for trains in block sections, can optimize train travel time and energy consumption. Implementing the proposed model in a real case with different scenarios for train scheduling reveals that this model can enhance the total travel time by 19% without changing the energy consumption ratio. The proposed model has little need for input from experts’ opinions to determine the rates and parameters.


Sign in / Sign up

Export Citation Format

Share Document