Robust Power Allocation for Energy-Efficient Location-Aware Networks

In wireless location-aware networks, mobile nodes (agents) typically obtain their positions using the range measurements to the nodes with known positions. Transmit power allocation not only affects network lifetime and throughput, but also determines localization accuracy. In this paper, we present...

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Bibliographic Details
Published inIEEE/ACM transactions on networking Vol. 21; no. 6; pp. 1918 - 1930
Main Authors Li, William Wei-Liang, Yuan Shen, Ying Jun Zhang, Win, Moe Z.
Format Journal Article
LanguageEnglish
Published IEEE 01.12.2013
Subjects
Accuracy
Localization
Measurement
Optimization
Programming
resource allocation
Resource management
robust optimization
Robustness
second-order conic programming (SOCP)
semidefinite programming (SDP)
Uncertainty
wireless networks
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ISSN1063-6692
1558-2566
DOI10.1109/TNET.2013.2276063

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Summary:In wireless location-aware networks, mobile nodes (agents) typically obtain their positions using the range measurements to the nodes with known positions. Transmit power allocation not only affects network lifetime and throughput, but also determines localization accuracy. In this paper, we present an optimization framework for robust power allocation in network localization with imperfect knowledge of network parameters. In particular, we formulate power allocation problems to minimize localization errors for a given power budget and show that such formulations can be solved via conic programming. Moreover, we design a distributed power allocation algorithm that allows parallel computation among agents. The simulation results show that the proposed schemes significantly outperform uniform power allocation, and the robust schemes outperform their non-robust counterparts when the network parameters are subject to uncertainty .
ISSN:1063-6692
1558-2566
DOI:10.1109/TNET.2013.2276063