Paper Info
Title
On biased link sampling in data-driven link estimation and routing in low-power wireless networks
Abstract
The wireless network community has become increasingly aware of the benefits of data-driven link estimation and routing as compared with beacon-based approaches, but the issue of biased link sampling (BLS) has not been well studied even though it affects routing convergence in the presence of network and environment dynamics. Focusing on traffic-induced dynamics, we examine the open, unexplored question of how serious the BLS issue is and how to effectively address it when the routing metric ETX is used. For a wide range of traffic patterns and network topologies and using both node-oriented and network-wide analysis and experimentation, we discover that the optimal routing structure remains quite stable even though the properties of individual links and routes vary significantly as traffic pattern changes. In cases where the optimal routing structure does change, data-driven link estimation and routing is either guaranteed to converge to the optimal structure or empirically shown to converge to a close-to-optimal structure. These findings provide the foundation for addressing the BLS issue in the presence of traffic-induced dynamics and suggest approaches other than existing ones. These findings also demonstrate that it is possible to maintain an optimal, stable routing structure despite the fact that the properties of individual links and paths vary in response to network dynamics.
Year
Venue
Keywords
2008
WICON
optimal structure,traffic-induced dynamic,bls issue,close-to-optimal structure,low-power wireless network,stable routing structure,optimal routing structure,network topology,data-driven link estimation,network dynamic,individual link,wireless network
Field
DocType
Citations 
Multipath routing,Link-state routing protocol,Dynamic Source Routing,Computer science,Static routing,Hierarchical routing,Computer network,Destination-Sequenced Distance Vector routing,Geographic routing,Routing protocol,Distributed computing
Conference
1
PageRank 
References 
Authors
0.35
21
3
Name
Order
Citations
PageRank
Hongwei Zhang193567.71
Lifeng Sang21179.39
Anish Arora32974270.71