使用马尔科夫决策过程的WBAN网络之间的新型数据传输方案.
Sathi Roy1, Moumita Roy2, Chandreyee Chowdhury3
1Information Technology, Motorola Solutions, Kolkata, West Bengal India.
概括
本研究介绍了智能家居中的无线身体区域网络 (WBAN) 协调器的随机模型. 该模型优化了数据传输策略,以减少多个WBAN之间的干扰导致的数据包损失.
科学领域:
- 生物医学工程 生物医学工程
- 计算机科学 计算机科学
- 无线通信无线通信
背景情况:
- 靠近的多个无线身体区域网络 (WBAN),例如在智能家居环境中,可能会导致BAN间干扰.
- 个人WBAN协调员需要适应性传输策略,以确保可靠的数据传输,以监测生命体征.
- 干扰管理对于在共享环境中保持WBAN的性能和完整性至关重要.
研究的目的:
- 在多WBAN场景中为WBAN协调单位提出一个随机模型.
- 开发适应性传输策略,平衡数据传输概率和数据包损失最小化.
- 在共存的WBAN中提高生命体征监测的可靠性.
主要方法:
- 为WBAN协调单位开发了一个随机模型.
- 传输战略问题是以马尔科夫决策过程 (MDP) 形式制定的.
- 频道条件和缓冲器状态被用作MDP中的状态参数,在线下解决.
主要成果:
- 根据各种输入条件确定了最佳传输策略.
- 拟议方案在不同操作条件下的模拟中证明了其稳定性.
- 实现了WBAN间干扰的有效管理.
结论:
- 开发的随机模型和基于MDP的策略有效地解决了WBAN之间的干扰.
- 拟议的方法可确保在多WBAN系统中对生命体征监测的可靠数据传输.
- 这些发现支持在智能家居医疗保健应用中部署强大的WBAN.
相关概念视频
IP3/DAG Signaling Pathway
12.2K
Membrane lipids such as phosphatidylinositol (PI) are precursors for several membrane-bound and soluble second messengers. Specific kinases phosphorylate PI and produce phosphorylated inositol phospholipids. One such inositol phospholipids are the phosphatidylinositol-4,5 bisphosphate [PI(4,5)P2], present in the inner half of the lipid bilayer. Upon ligand binding, GPCR stimulates Gq proteins to turn on phospholipase Cꞵ. Activated phospholipase Cꞵ cleaves PI(4,5)P2 and...
12.2K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
99
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
99
Decision Making: P-value Method
5.5K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.5K
Network Function of a Circuit
328
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
328
Decision Making: Traditional Method
4.1K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.1K
Reversible and Irreversible Processes
4.3K
The thermodynamic processes can be classified into reversible and irreversible processes. The processes that can be restored to their initial state are called reversible processes. It is only possible if the process is in quasi-static equilibrium, i.e., it takes place in infinitesimally small steps, and the system remains at equilibrium However, these are ideal processes and do not occur naturally. An ideal system undergoing a reversible process is always in thermodynamic equilibrium within...
4.3K


