On the Effects of Cognitive Mobility Prediction in Wireless Multi-hop Ad Hoc Networks

被引：0

作者：

Mezzavilla, Marco ^{[1
]}

Quer, Giorgio ^{[2
]}

Zorzi, Michele ^{[1
,2
]}

机构：

[1] Univ Padua, DEI, I-35131 Padua, Italy

[2] Univ Calif San Diego, La Jolla, CA 92093 USA

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | 2014年

关键词：

MANET; OLSR; statistical inference; Bayesian networks; TCP; PERFORMANCE;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In this paper, we address an important problem in mobile ad hoc networks, namely, the intrinsic inefficiency of the standard transmission control protocol (TCP), which has not been designed to work in these types of networks. After an initial training phase, we predict the mobility status of the network through a probabilistic approach, and we propose a series of ad hoc strategies to counteract the TCP inefficiency based on this prediction. Via simulation, we show the performance improvements in various wireless scenarios, in terms of increased average throughput and decreased length of the outage intervals. The significant performance improvements shown here will be verified in a future work by implementing our approach in a real testbed.

引用

页码：1638 / 1644

页数：7