.png){kind=icon}
Return
SenseCode: Network Coding for Reliable Sensor Networks
.png){kind=icon}
PRE
AI
DOI：10.1145/2422966.2422982.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Designing a communication protocol for sensor networks often involves obtaining the right trade-off between energy efficiency and end-to-end packet error rate. In this article, we show that network coding provides a means to elegantly balance these two goals. We present the design and implementation of SenseCode, a collection protocol for sensor networks- and, to the best of our knowledge, the first such implemented protocol to employ network coding. SenseCode provides a way to gracefully introduce a configurable amount of redundant information into the network, thereby decreasing end-to-end packet error rate in the face of packet loss. We compare SenseCode to the best (to our knowledge) existing alternative and show that it reduces end-to-end packet error rate in highly dynamic environments, while consuming a comparable amount of network resources. We have implemented SenseCode as a TinyOS module and evaluate it through extensive TOSSIM simulations.
Keywords:
Algorithms
Design
Reliability
Data collection
network coding
multipath
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.7
Papers:
1.0K
Citations:
2.0K
Organization
Cited Papers
ShareSaveCigarette smoking and geographic variation in coronary heart disease mortality in the United States
PREAI
ShareSaveShareSaveMeshed multipath routing with selective forwarding: an efficient strategy in wireless sensor networks.png)
COMPUTER NETWORKS
OAAI
COMPUTER NETWORKSIF4.6
OAAIShareSaveShareSave
View more