scholarly journals Alternative Priority-based Queuing for WBAN

2019 ◽  
Vol 8 (2) ◽  
pp. 1779-1783

Wireless Body Area Network (WBAN) technology enables medical services to expand its scope. It allows medical expert to monitor physiological data of patients using wireless communication. Despite of the numerous advantages it provides, WBAN still incur issues on different metrics on quality of service (QoS) such as end-to-end delay, queuing delay, and reliability. QoS metrics of the WBAN is affected on the efficiency of its queuing system. Previous studies proposed different routing algorithms to address QoS metrics which implement multiple queues to enhance data transmission of different data types. These studies used strict priority logic which serves the highest priority queue first. However, the main problem of this approach is that lower priority data may be totally blocked by a higher priority data. This paper presents an alternative priority-based queuing to address issue on QoS metrics. The results showed that the proposed algorithm decreased the end-to-end delay and queuing delay and increased the reliability of QoS aware routing protocol. Based on the implementation result, it can be seen that the proposed algorithm can be implement on WBAN.

Author(s):  
Jay Manalastas Ventura ◽  
Arnel Fajardo ◽  
Ruji Medina

<span>Wireless Body Area Sensor Network (WBASN) or Wireless Body Area Network (WBAN) is a growing field in healthcare applications. It enables remote monitoring of patient’s physiological data through wireless communication. It is composed of sensor network which collects physiological data from the patient. There are several issues concerning WBAN such as security, power, routing protocol to address QoS metrics (reliability, end-to-end delay, and energy efficiency), etc. The focus of the study is the issue on different QoS metrics. There were several QoS aware routing protocol that has been proposed which implements multiple queues for different types of data. However, one issue on multiple queue system is starvation, end-to-end delay, and reliability. The study proposed an efficient priority queue based data transmission that improves the end-to-end delay, reliability, and queuing delay of QoS aware routing protocol.</span>


Author(s):  
Suha Sahib Oleiwi ◽  
Ghassan N. Mohammed ◽  
Israa Al_Barazanchi

The wireless body area network (WBAN) has been proposed to offer a solution to the problem of population ageing, shortage in medical facilities and different chronic diseases. The development of this technology has been further fueled by the demand for real-time application for monitoring these cases in networks. The integrity of communication is constrained by the loss of packets during communication affecting the reliability of WBAN. Mitigating the loss of packets and ensuring the performance of the network is a challenging task that has sparked numerous studies over the years. The WBAN technology as a problem of reducing network lifetime; thus, in this paper, we utilize cooperative routing protocol (CRP) to improve package delivery via end-to-end latency and increase the length of the network lifetime. The end-to-end latency was used as a metric to determine the significance of CRP in WBAN routing protocols. The CRP increased the rate of transmission of packets to the sink and mitigate packet loss. The proposed solution has shown that the end-to-end delay in the WBAN is considerably reduced by applying the cooperative routing protocol. The CRP technique attained a delivery ratio of 0.8176 compared to 0.8118 when transmitting packets in WBAN.


2015 ◽  
Vol 72 (5) ◽  
Author(s):  
Ahmed Abu-Khadrah ◽  
Zahriladha Zakaria ◽  
Mohdazlishah Othman

Nowadays supporting quality of service (QOS) for real time application is the main challenge of the wireless area network. 802.11standards use distributed Coordination Function (DCF) protocol and Enhanced Distributed Channel Access (EDCA) protocol in the MAC layer. DCF protocol has only one queue for different data types, it deals with data depending on the arriving time. There is no priority to serve real time applications faster. However EDCA protocol has four queues and each queue works with specific data type. Voice, video, best effort and background are the different queues in the EDCA protocol. Different parameters and priorities are defined for each queue. The voice queue reserves the highest priority and serves its data first. In this paper QOS parameters are measured for both DCF and EDCA protocol by using OPNET simulation. The QOS parameters must reach the requirements to support QOS. The results show how QOS parameters do not reach the requirements when using DCF protocol. The values of the end to end delay and the packet loss percentage are 0.514second, 19.04% respectively. But, when using EDCA protocol the end to end delay becomes 0.0624 second and the percentage of the packet loss decreases until reach 0.00617%. So the QOS parameters achieve requirements with EDCA protocol and support QOS.


2021 ◽  
Vol 13 (1) ◽  
pp. 180-194
Author(s):  
Kifayat Ullah ◽  
Haris Khan

Abstract The integration of Wireless Sensor Networks (WSN) and cloud computing brings several advantages. However, one of the main problems with the existing cloud solutions is the latency involved in accessing, storing, and processing data. This limits the use of cloud computing for various types of applications (for instance, patient health monitoring) that require real-time access and processing of data. To address the latency problem, we proposed a fog-assisted Link Aware and Energy E cient Protocol for Wireless Body Area Networks (Fog-LAEEBA). The proposed solution is based on the already developed state-of-the-art protocol called LAEEBA. We implement, test, evaluate and compare the results of Fog-LAEEBA in terms of stability period, end-to-end delay, throughput, residual energy, and path-loss. For the stability period all nodes in the LAEEBA protocol die after 7445 rounds, while in our case the last node dies after 9000 rounds. For the same number of rounds, the end-to-end delay is 2 seconds for LAEEBA and 1.25 seconds for Fog-LAEEBA. In terms of throughput, our proposed solution increases the number of packets received by the sink node from 1.5 packets to 1.8 packets. The residual energy of the nodes in Fog-LAEEBA is also less than the LAEEBA protocol. Finally, our proposed solution improves the path loss by 24 percent.


2005 ◽  
Vol 33 (3) ◽  
pp. 39-45
Author(s):  
Earl Lawrence ◽  
George Michailidis ◽  
Vijay N. Nair

Wireless Body Area Network (WBAN) is a collection of miniaturized sensing nodes and coordinator nodes. These sensing nodes are placed in, on and around the body for uninterrupted monitoring of physiological data for medical applications. The main application carrier of WBAN is the human body and due to human body movement and physiological changes, the WBAN traffic fluctuates greatly. This network traffic fluctuation requires good network adaptability. In addition to traffic fluctuations, energy consumption is another key problem with WBANs as sensing nodes are very small in size. This paper design a reliable protocol by extending the MAC protocol for reducing energy consumption, PAP algorithm to decide data transmission rate and JOAR algorithm to select the optimize path for the data transmission. The performance of the algorithm outperforms other state of art algorithms to shows its significance.


2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Maryam El Azhari ◽  
Nadya El Moussaid ◽  
Ahmed Toumanari ◽  
Rachid Latif

The phenomenal advances in electronics contributed to a widespread use of distributed sensors in wireless communications. A set of biosensors can be deployed or implanted in the human body to form a Wireless Body Area Network (WBAN), where various WBAN PHY layers are utilized. The WBAN allows the measurement of physiological data, which is forwarded by the gateway to the base station for analysis purposes. The main issue in conceiving a WBAN communication mechanism is to manage the residual energy of sensors. The mobile agent system has been widely applied for surveillance applications in Wireless Sensor Networks (WSNs). It consists in dispatching one or more mobile agents simultaneously to collect data, while following a predetermined optimum itinerary. The continuous use of the optimal itinerary leads to a rapid depletion of sensor nodes batteries, which minimizes the network lifetime. This paper presents a new algorithm to equalize the energy consumption among sensor motes. The algorithm exploits all the available paths towards the destination and classifies them with respect to the end-to-end delay and the overall energy consumption. The proposed algorithm performs better compared to the optimal routing path. It increases the network lifetime to the maximum by postponing routing of data via the most-recently used path, and it also maintains data delivery within the delay interval threshold.


2020 ◽  
Vol 16 (2) ◽  
pp. 155014772090679
Author(s):  
Rui Guo ◽  
Chaoyuan Zhuang ◽  
Huixian Shi ◽  
Yinghui Zhang ◽  
Dong Zheng

Wireless body area network includes some tiny wearable sensors for monitoring the physiological data of user, which has been a promising method of promoting the quality and efficiency greatly in healthcare. The collected physical signs are aggregated into the medical documents and uploaded to cloud server for utilizing by the remote user. As these files are highly sensitive privacy data, there is a vital challenge that constructs a secure and efficient communication architecture in this application scenario. Based on this standpoint, we present a lightweight verifiability ciphertext-policy attribute-based encryption protocol with outsourced decryption in this article. Specifically, our construction enjoys the following six features: (1) Although the outsourced decryption enables to save the computation overhead of the data user sharply in an attribute-based encryption scheme, the ciphertext is out of control and the correctness cannot be guaranteed by the data owner. The proposal provides the verifiability of ciphertext that ensures the user to check the correctness efficiently. (2) The size of the ciphertext is constant that is not increased with the complexity of attribute and access structure. (3) For Internet of Things devices, it introduces the fog computing into our protocol for the purpose of low latency and relation interactions, which has virtually saved the bandwidth. (4) With the help of blockchain technique, we encapsulate the hash value of public parameter, original and transformed ciphertext and transformed key into a block, so that the tamper-resistance is facilitated against an adversary from inside and outside the system. (5) In the standard model, we prove that it is selectively chosen-plaintext attack-secure and verifiable provided that the computational bilinear Diffie–Hellman assumption holds. (6) It implements this protocol and shows the result of performance measurement, which indicates a significant reduction on communication and computation costs burden on every entity in wireless body area network.


2014 ◽  
Vol 687-691 ◽  
pp. 2975-2978
Author(s):  
Yan An Kang ◽  
Ai Ping Yan ◽  
Gui Xiang Xue

Multi-radio wireless mesh network (MR-WMN) is one of the key access techniques in Mobile Internet. However, current 802.11-based MR-WMN is not able to provide low multicast end-to-end delay. To address this problem, we first propose a layered and analytical model by combining overlapping channel assignment with multi-path routing strategies. The proposed model can be used as a guide on multicast design. It decoupled multicast delay into transmission delay in the MAC layer and queuing delay in the Mesh layer based on that it derived a new multicast routing metric that had low end-to-end delay. Second, we prove that finding the minimum global flow interference solution is a NP-Complete problem an<I the relationship between global flow interference and network node densities is distributed in accord with double-Pareto lognormal (dP1N) distribution. Based on these two results, the DCA algorithm is proposed in order to minimum global flow interference which can efficiently reduce the multicast transmission delay in MAC layer. Last, to avoid the best wireless link being congested, we propose the flow adaptive-based MMRA algorithm by making use of the M R-M ED routing metric and the multi-path routing design philosophy, which took local channel congestion into account and can efficiently reduce the queuing delay in Mesh layer. Simulation result and comparison of the common algorithm MCM both show that the proposed model accurately characterizes the multicast delay in multi-radio wireless mesh network and the combination of the DCA and MMRA algorithms efficiently reduce the multicast end-to-end delay.


Author(s):  
James Jin Kang ◽  
Tom Luan ◽  
Henry Larkin

Current physiological sensors are passive and transmit sensed data to Monitoring centre (MC) through wireless body area network (WBAN) without processing data intelligently. We propose a solution to discern data requestors for prioritising and inferring data to reduce transactions and conserve battery power, which is important requirements of mobile health (mHealth). However, there is a problem for alarm determination without knowing the activity of the user. For example, 170 beats per minute of heart rate can be normal during exercising, however an alarm should be raised if this figure has been sensed during sleep. To solve this problem, we suggest utilising the existing activity recognition (AR) applications. Most of health related wearable devices include accelerometers along with physiological sensors. This paper presents a novel approach and solution to utilise physiological data with AR so that they can provide not only improved and efficient services such as alarm determination but also provide richer health information which may provide content for new markets as well as additional application services such as converged mobile health with aged care services. This has been verified by experimented tests and examples of using vital signs such as heart pulse rate, respiration rate and body temperature with a demonstrated outcome of AR accelerometer sensors integrated with an Android app.


Sign in / Sign up

Export Citation Format

Share Document