Recursive Position Estimation in Sensor Networks
ICNP '01 Proceedings of the Ninth International Conference on Network Protocols
The n-hop multilateration primitive for node localization problems
Mobile Networks and Applications
Error characteristics of ad hoc positioning systems (aps)
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
An Analysis of Error Inducing Parameters in Multihop Sensor Node Localization
IEEE Transactions on Mobile Computing
The effects of ranging noise on multihop localization: an empirical study
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
PIPENETa wireless sensor network for pipeline monitoring
Proceedings of the 6th international conference on Information processing in sensor networks
Research on Wireless Network-Based Power Line Inspection
IFITA '09 Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01
Monitoring the high-voltage transmission lines based on two-tier wireless networks
Proceedings of the 4th ACM international workshop on Experimental evaluation and characterization
On the error characteristics of multihop node localization in ad-hoc sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Error propagation in sensor network localization with regular topologies
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
Performance analysis of relative location estimation for multihop wireless sensor networks
IEEE Journal on Selected Areas in Communications
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One-dimensional sensor networks can be found in many fields and demand node location information for various applications. Developing localization algorithms in one-dimensional sensor networks is trivial, due to the fact that existing localization algorithms developed for two- and three-dimensional sensor networks are applicable; nevertheless, analyzing the corresponding localization errors is non-trivial at all, because it is helpful to improving localization accuracy and designing sensor network applications. This paper deals with localization errors in distance-based multi-hop localization procedures of one-dimensional sensor networks through the Cramer-Rao lower bound (CRLB). We analyze the fundamental behaviors of localization errors and show that the localization error for a sensor is locally determined by network elements within a certain range of this sensor. Moreover, we break down the analysis of localization errors in a large-scale sensor network into the analysis in small-scale sensor networks, termed unit networks, in which tight upper and lower bounds on the CRLB can be established. Finally, we investigate two practical issues: the applicability of the analysis based on the CRLB and the optimal anchor placement.