Paper Info
Title
Comparison of Data-Driven Link Estimation Methods in Low-Power Wireless Networks
Abstract
Link estimation is a basic element of routing in low-power wireless networks, and data-driven link estimation using unicast MAC feedback has been shown to outperform broadcast-beacon-based link estimation. Nonetheless, little is known about how different data-driven link estimation methods affect routing behaviors. To address this issue, we classify existing data-driven link estimation methods into two broad categories: L-NT that uses aggregate information about unicast and L-ETX that uses information about the individual unicast-physical-transmissions. Through mathematical analysis and experimental measurement in a testbed of 98 XSM motes (an enhanced version of MICA2 motes), we examine the accuracy and stability of L-NT and L-ETX in estimating the ETX routing metric. We also experimentally study the routing performance of L-NT and L-ETX. We discover that these two representative, seemingly similar methods of data-driven link estimation differ significantly in routing behaviors: L-ETX is much more accurate and stable than L-NT in estimating the ETX metric, and accordingly, L-ETX achieves a higher data delivery reliability and energy efficiency than L-NT (for instance, by 25.18 percent and a factor of 3.75, respectively, in our testbed). These findings provide new insight into the subtle design issues in data-driven link estimation that significantly impact the reliability, stability, and efficiency of wireless routing, thus shedding light on how to design link estimation methods for mission-critical wireless networks which pose stringent requirements on reliability and predictability.
Year
DOI
Venue
2009
10.1109/TMC.2010.126
IEEE Transactions on Mobile Computing
Keywords
Field
DocType
wireless routing,low-power wireless networks,mission-critical wireless network,data-driven link estimation method,network routing,low-power wireless network,l-etx routing metric,telecommunication network reliability,link estimation method,data delivery reliability,unicast mac feedback,different data-driven link estimation,low-power wireless network routing,data-driven link estimation methods,mathematical analysis,geographic routing.,unicast-physical-transmissions,distance vector routing,higher data delivery reliability,beacon based,l-nt,radio networks,sensor networks,broadcast-beacon-based link estimation,routing protocols,xsm motes,access protocols,broadcast-beacon,wireless sensor networks,telecommunication network routing,link estimation and routing,data driven,routing performance,energy efficiency,link estimation,data-driven link estimation,l-etx,energy efficient,testing,stability analysis,wireless networks,feedback,wireless network,estimation,routing,accuracy,reliability,unicast,broadcasting
Broadcasting,Wireless network,Wireless,Computer science,Efficient energy use,Computer network,Testbed,Unicast,Wireless sensor network,Metrics,Distributed computing
Conference
Volume
Issue
ISSN
9
11
1536-1233
ISBN
Citations 
PageRank 
978-1-4244-2908-0
17
0.77
References 
Authors
34
3
Name
Order
Citations
PageRank
Hongwei Zhang193567.71
Lifeng Sang21179.39
Anish Arora32974270.71