A priority based energy harvesting scheme for charging embedded sensor nodes in wireless body area networks

Rabby, Khurram Monir; Alam, Mohammad Shah; Shawkat, Mst Shamim Ara

doi:10.1371/journal.pone.0214716

Cited by 35 publications

(23 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is the measure of total power consumed at the various operational states; transmit (Tx), receive (Rx), idle and sleep states [ 34 , 35 ]. This is expressed in Eq 11 .…”

Section: Performance Evaluationmentioning

confidence: 99%

Optimized backoff scheme for prioritized data in wireless sensor networks: A class of service approach

et al. 2020

View full text Add to dashboard Cite

Data prioritization of heterogeneous data in wireless sensor networks gives meaning to mission-critical data that are time-sensitive as this may be a matter of life and death. However, the standard IEEE 802.15.4 does not consider the prioritization of data. Prioritization schemes proffered in the literature have not adequately addressed this issue as proposed schemes either uses a single or complex backoff algorithm to estimate backoff time-slots for prioritized data. Subsequently, the carrier sense multiple access with collision avoidance scheme exhibits an exponentially increasing range of backoff times. These approaches are not only inefficient but result in high latency and increased power consumption. In this article, the concept of class of service (CS) was adopted to prioritize heterogeneous data (realtime and non-real-time), resulting in an optimized prioritized backoff MAC scheme called Class of Service Traffic Priority-based Medium Access Control (CSTP-MAC). This scheme classifies data into high priority data (HPD) and low priority data (LPD) by computing backoff times with expressions peculiar to the data priority class. The improved scheme grants nodes the opportunity to access the shared medium in a timely and power-efficient manner. Benchmarked against contemporary schemes, CSTP-MAC attained a 99% packet delivery ratio with improved power saving capability, which translates to a longer operational lifetime.

show abstract

“…This is the measure of total power consumed at the various operational states; transmit (Tx), receive (Rx), idle and sleep states [ 34 , 35 ]. This is expressed in Eq 11 .…”

Section: Performance Evaluationmentioning

confidence: 99%

Optimized backoff scheme for prioritized data in wireless sensor networks: A class of service approach

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The class decreases the duty cycle further by half when compared to class A, as shown in Eq. (22). The reduction in duty cycle is associated with a sacrifice of optimal coordination.…”

Section: B Class Amentioning

confidence: 99%

“…If units operate independently, the uncoordinated pacing action by units at the atrium and ventricle will lead to change in the rhythm of heart, leading to device induced bradyarrhythmia conditions. Therefore, there is a need for synchronization between the units in order to achieve coordination between the atrium and ventricular contraction [9], [22]. However, synchronization mechanism consumes energy, and this affects the longevity of the units.…”

Section: Introductionmentioning

confidence: 99%

Patient Specific Strategies to Enhance Leadless Pacemaker Lifetime in Synchronized Dual Chamber System

et al. 2020

View full text Add to dashboard Cite

Dual chamber leadless pacemakers are multi-unit, battery-driven implants utilized for treating patients with bradyarrhythmias and sino-atrial dysfunctions. Establishing synchronization between the units provides coordination between the atrium and ventricular contraction, and this mechanism depletes battery energy. Due to implant size constraints, reducing the synchronization energy consumed to enhance the lifetime of the implant is crucial. In this paper, a set of strategies are proposed and evaluated to indicate the best strategy to enhance the lifetime of atrial unit based on the patient's heart condition. Beat selective pulse transmission is employed instead of pulse transmission on every beat to reduce energy consumption. The characteristics of interbeat contraction timing of the atrium and ventricle from the patient data is modeled as time series. The designed model is extended to model synchronization strategies with sufficient synchronization accuracy and reduction in energy consumption. It is found that the implant lifetime is dependent on the natural atrial contraction probability, which is patient specific. A relation between the transmission duty-cycle and natural atrial contraction probability is derived for all the strategies, and this analysis is used in a case study to quantify the longevity. The proposed strategies show improved lifetime in comparison to the reference strategy. In the case study, for natural atrial contraction probability of 0.1, longevity is increased by two orders in relation to the reference strategy with the longevity of 4 years. However, there is no one best strategy; instead, the most energy-efficient strategy is determined from patient's natural atrial contraction probability and tolerance to suboptimal coordination. INDEX TERMS Leadless pacemaker synchronization, improved atrial longevity, atrium and ventricle interbeat timing model, energy-efficient synchronization, interbeat time series equation.

show abstract

“…The main functions in which the energy of a sensor node is consumed are data collection from the body, data processing, and data transmission. In typical biomedical applications, energy consumption is dominated by the biosensors’ radio units during data transmission, which is highly dependent on communication links between nodes [27]. So, data need to be transmitted with extreme reliability, in terms of latency, packet error rates, and packet delivery rates, and the energy efficiency requirements need to be managed wisely since the signal collected and transmitted can be life-critical.…”

Section: Challenges and Research Motivationsmentioning

confidence: 99%

A Multiobjective, Lion Mating Optimization Inspired Routing Protocol for Wireless Body Area Sensor Network Based Healthcare Applications

Faheem

Butt

Raza

et al. 2019

Sensors

View full text Add to dashboard Cite

The importance of body area sensor networks (BASNs) is increasing day by day because of their increasing use in Internet of things (IoT)-enabled healthcare application services. They help humans in improving their quality of life by continuously monitoring various vital signs through biosensors strategically placed on the human body. However, BASNs face serious challenges, in terms of the short life span of their batteries and unreliable data transmission, because of the highly unstable and unpredictable channel conditions of tiny biosensors located on the human body. These factors may result in poor data gathering quality in BASNs. Therefore, a more reliable data transmission mechanism is greatly needed in order to gather quality data in BASN-based healthcare applications. Therefore, this study proposes a novel, multiobjective, lion mating optimization inspired routing protocol, called self-organizing multiobjective routing protocol (SARP), for BASN-based IoT healthcare applications. The proposed routing scheme significantly reduces local search problems and finds the best dynamic cluster-based routing solutions between the source and destination in BASNs. Thus, it significantly improves the overall packet delivery rate, residual energy, and throughput with reduced latency and packet error rates in BASNs. Extensive simulation results validate the performance of our proposed SARP scheme against the existing routing protocols in terms of the packet delivery ratio, latency, packet error rate, throughput, and energy efficiency for BASN-based health monitoring applications.

show abstract

A priority based energy harvesting scheme for charging embedded sensor nodes in wireless body area networks

Cited by 35 publications

References 75 publications

Optimized backoff scheme for prioritized data in wireless sensor networks: A class of service approach

Optimized backoff scheme for prioritized data in wireless sensor networks: A class of service approach

Patient Specific Strategies to Enhance Leadless Pacemaker Lifetime in Synchronized Dual Chamber System

A Multiobjective, Lion Mating Optimization Inspired Routing Protocol for Wireless Body Area Sensor Network Based Healthcare Applications

Contact Info

Product

Resources

About