scholarly journals Model Based Data Transmission: Analysis of Link Budget Requirement Reduction

2012 ◽  
Vol 04 (04) ◽  
pp. 278-287 ◽  
Author(s):  
Jeremy Straub
Keyword(s):  
Data Transmission ◽  
Model Based ◽  
Link Budget

A non-linear mathematical model-based routing protocol for WBAN-based health-care systems

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ch Rajendra Prasad ◽  
Polaiah Bojja
Keyword(s):  
Mathematical Model ◽  
Health Care ◽  
Energy Consumption ◽  
Routing Protocol ◽  
Data Transmission ◽  
Transmission Rate ◽  
Content Type ◽  
Data Transmission Rate ◽  
Model Based ◽  
Non Linear

Purpose This paper aims to present a non-linear mathematical model-based routing protocol for wireless body area networks (WBANs). Two non-linear mathematical models for WBANs are used in the proposed protocols Model 1 and Model 2. Model 1 intends to improve the data transmission rate and Model 2 intends to reduce energy consumption in the WBANs. These models are simulated for fixed deployment and priority-based data transmission, and performance of the network is analyzed under four constraints on WBANs. Design/methodology/approach Advancements in wireless technology play a vital role in several applications such as electronic health care, entertainment and games. Though WBANs are widely used in digital health care, they have restricted battery capacity which affects network stability and data transmission. Therefore, several research studies focused on reducing energy consumption and maximizing the data transmission rate in WBANs. Findings Simulation results of the proposed protocol exhibit superior performance in terms of four network constraints such as residual energy, the stability of the network, path loss and data transmission rate in contrast with conventional routing protocols. The performance improvement of these parameters confirms that the proposed algorithm is more reliable and consumes less energy than traditional algorithms. Originality/value The Model 1 of the proposed work provides maximum data extraction, which ensures reliable data transmission in WBANs. The Model 2 allocates minimal hop count path between the sink and the sensor nodes, which minimizes energy consumption in the WBANs.

A Study on ARQ Policies for Data Transmission based on Kullback–Leibler Information

1998 ◽  
Vol 05 (01) ◽  
pp. 5-13
Author(s):  
Kiyoshi Sawada ◽  
Hiroaki Sandoh ◽  
Toshio Nakagawa
Keyword(s):  
Statistical Model ◽  
Upper Bound ◽  
Data Transmission ◽  
Numerical Examples ◽  
Model Based ◽  
Leibler Information

This study discusses methods for designing two types of ARQ policy; (1) the usual ARQ policy and (2) the extended ARQ policy, which is proposed in this study. In the protocol of the usual ARQ policy, the upper bound for the number of retransmissions of the data is empirically determined. A statistical model and a model based on Kullback–Leibler information (K–L model) are proposed for determining such a upper bound of retransmissions. Both the models are also applied to the extended ARQ policy. Numerical examples are presented to illustrate the K–L model which makes the design of ARQ policies easier than the statistical model.

A Data Transmission Model Based on Context-Aware for Rich Internet Application

2011 ◽  
Vol 145 ◽  
pp. 515-519
Author(s):  
Guo Dong Chen ◽  
Na Wang
Keyword(s):  
Data Transmission ◽  
Transmission Model ◽  
Context Aware ◽  
Rich Internet Application ◽  
Internet Applications ◽  
Rich Internet Applications ◽  
Model Based ◽  
Internet Application ◽  
System Responsiveness ◽  
Current Behavior

For Rich Internet applications needs to transfer a large amount of data which cause slow response, the paper studies a data transmission model based on context-aware. By sensing the users' browsing history and current behavior, the system can automatically predict the data needs for the next step, and make full use of the network idle time during the process of users' interaction to transfer data, so as to improve system responsiveness. The experimental results show that the data transmission model can greatly reduces users' waiting time, especially in more complex scenarios, the effect is more significant.

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