PiggyCode: A MAC Layer Network Coding Scheme to Improve TCP Performance Over Wireless Networks

Author(s):  
Luca Scalia ◽  
Fabio Soldo ◽  
Mario Gerla
2014 ◽  
Vol 529 ◽  
pp. 721-725
Author(s):  
Feng Jun Shang ◽  
Zhe Geng

In order to improve the performance of multi-hop wireless network, network coding mixes multiple signals in a single channel. A coding scheme proposed previously which is called BEND is a very compelling network coding applications. While it is another way of such programs, but there is still great potential to be developed. This article, based on BEND, expands the width of the potential paths by asking more potential nodes to join so that it increases network throughput and reduces the transmission delay at the same time. It is not a right way neither in theory nor in practical application that increasing the width of the paths unlimitedly by progressive approach. So the best paths width, as well as the network parameters which affecting the paths width is discussed in the final part of this article.


2010 ◽  
Vol 54 (2) ◽  
pp. 196-207 ◽  
Author(s):  
Jian Zhang ◽  
Yuanzhu Peter Chen ◽  
Ivan Marsic

2017 ◽  
Vol 2017 ◽  
pp. 1-20 ◽  
Author(s):  
Hongyun Zhang ◽  
Farzad Safaei ◽  
Le Chung Tran

In Wireless Body Area Networks (WBANs), the tradeoff between network throughput and energy efficiency remains a key challenge. Most current transmission schemes try to cope with the challenge from the perspective of general Wireless Sensor Networks (WSNs), which may not take the peculiarities of WBAN channels into account. In this paper, we take advantage of the correlation of on-body channels in walking scenarios to achieve a better tradeoff between throughput and energy consumption. We first analyze the characteristics of on-body channels based on realistic channel gain datasets, which are collected by our customized wireless transceivers in walking scenarios. The analytical results confirm the rationale of our newly proposed transmission scheme A3NC, which explores the combination of the aggregative allocation (AA) mechanism in MAC layer and the Analog Network Coding (ANC) technique in PHY layer. Both theoretical analyses and simulation results show that the A3NC scheme achieves significant improvement in upload throughput and energy efficiency, compared to the conventional approaches.


Sign in / Sign up

Export Citation Format

Share Document