Improving the energy efficiency for a WBSN based on a coordinate duty cycle and network coding

Alshaheen, Hisham; Rizk, Haifa Takruri

doi:10.1109/iwcmc.2017.7986458

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…The simulation results, energy, optimal allocation of source rate to the importance of SN was revealed that improve system performance of WBAN in terms of EE in different daily activities A vehicle makes its way into the ad-hoc network had the sensor data transmission, which has become a major concern for the security researcher. Encryption-based solutions, trust-based solutions, an affirmative approach, two-trust characteristics of acceptability and a confidence level of the first study were considered to create a new confidence-inference model that was chosen in comparison to measuring subjective belief-based confidence, the specific vehicle of confidence [18].The reliability of the probability Trust-based Probabilistic Broadcast (TPB) based on the reliance on the overhead reduction caused by a malicious node, particularly the rebroadcast probability, is determined. In order to gain the trust of the terminal, the lightweight trust management model is designed based on direct and recommended trust evidence.…”

Section: International Journal On Recent and Innovation Trends In Com...mentioning

confidence: 99%

Cooperative Hyper-Scheduling based improving Energy Aware Life Time Maximization in Wireless Body Sensor Network Using Topology Driven Clustering Approach

Mariappan,

Saminathan,

Baalamurugan

2023

IJRITCC

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The Wireless Body Sensor Network (WBSN) is an incredible developing data transmission network for modern day communication especially in Biosensor device networks. Due to energy consumption in biomedical data transfer have impacts of sink nodes get loss information on each duty cycle because of Traffic interruptions. The reason behind the popularity of WBSN characteristics contains number of sensor nodes to transmit data in various dense regions. Due to increasing more traffic, delay, bandwidth consumption, the energy losses be occurred to reduce the lifetime of the WBSN transmission. So, the sensor nodes are having limited energy or power, by listening to the incoming signals, it loses certain amount of energy to make data losses because of improper route selection. To improve the energy aware lifetime maximization through Traffic Aware Routing (TAR) based on scheduling. Because the performance of scheduling is greatly depending on the energy of nodes and lifetime of the network. To resolve this problem, we propose a Cooperative Hyper-scheduling (CHS) based improving energy aware life time maximization (EALTM) in Wireless Body sensor network using Topology Driven Clustering Approach (TDCA).Initially the method maintains the traces of transmission performed by different Bio-sensor nodes in different duty cycle. The method considers the energy of different nodes and history of earlier transmission from the Route Table (RT) whether the transmission behind the Sink node. Based on the RT information route discovery was performed using Traffic Aware Neighbors Discovery (TAND) to estimate Data Transmission Support Measure (DTSM) on each Bio-sensor node which its covers sink node. These nodes are grouped into topology driven clustering approach for route optimization. Then the priority is allocated based on The Max-Min DTSM, the Cooperative Hyper-scheduling was implemented to schedule the transmission with support of DTSM to reduce the energy losses in WBSN. This improves the energy level to maximization the life time of data transmission in WBSN than other methods to produce best performance in throughput energy level.

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Section: International Journal On Recent and Innovation Trends In Com...mentioning

confidence: 99%

Cooperative Hyper-Scheduling based improving Energy Aware Life Time Maximization in Wireless Body Sensor Network Using Topology Driven Clustering Approach

Mariappan,

Saminathan,

Baalamurugan

2023

IJRITCC

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“…In recent years, many dynamic schemes which adjust key transmission parameters in accordance with the realtime channel state or application requirements have been proposed to meet the transmission challenges in WBANs. Among these works, adaptive duty cycle (ADC) [12][13][14][15] and transmission power control (TPC) [16][17][18][19][20][21][22] are the two key research topics. However, both ADC and TPC methods require additional hardware or software cost on the sensor side.…”

Section: Introductionmentioning

confidence: 99%

Channel autocorrelation-based dynamic slot scheduling for body area networks

Zhang

Safaei

Tran

2018

J Wireless Com Network

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As a promising technology in the context of m-health and e-medical, wireless body area networks (WBANs) have a stringent requirement in terms of transmission reliability. Meanwhile, the wireless channel in WBANs is prone to deep fading due to multiple reasons, such as shadowing by the body, reflection, diffraction, and interference. To meet the challenge in transmission reliability, the dynamic slot scheduling (DSS) methods have attracted considerable interest in recent years. DSS method does not require extra hardware or software overhead on the sensor side. Instead, the hub optimizes the time-division multiple access slots by selecting the best permutation at the beginning of each superframe to improve the transmission reliability. However, most existing DSS works optimize the time slot scheduling based on a two-state ("good" or "bad") Markov channel model, which is insufficient for human daily life scenarios with a variety of irregular activities. In this paper, we first collect the channel gain data in the real human daily scenarios and analyze the autocorrelation of wireless channels based on this real database. Motivated by the significant temporal autocorrelation, we then propose a new DSS method, which applies a temporal autocorrelation model to predict the channel condition for future time slots. The new method is designed to be compatible with IEEE 802.15.6 standard. Compared to the classical Markov model-based methods, simulation results show that the newly proposed DSS method achieves up to 12.9% reduction in terms of packet loss ratios.

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Gait Adaptive Duty Cycle: Optimize the QoS of WBSN-HAR

Gandhi

Singh

2021

Wireless Pers Commun

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Improving the energy efficiency for a WBSN based on a coordinate duty cycle and network coding

Cited by 4 publications

References 19 publications

Cooperative Hyper-Scheduling based improving Energy Aware Life Time Maximization in Wireless Body Sensor Network Using Topology Driven Clustering Approach

Cooperative Hyper-Scheduling based improving Energy Aware Life Time Maximization in Wireless Body Sensor Network Using Topology Driven Clustering Approach

Channel autocorrelation-based dynamic slot scheduling for body area networks

Gait Adaptive Duty Cycle: Optimize the QoS of WBSN-HAR

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