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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| Published in | IEEE/ACM transactions on networking Vol. 21; no. 6; pp. 1918 - 1930 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
IEEE
01.12.2013
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1063-6692 1558-2566 |
| DOI | 10.1109/TNET.2013.2276063 |
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| Abstract | 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 . |
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| AbstractList | 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 . |
| Author | Yuan Shen Win, Moe Z. Li, William Wei-Liang Ying Jun Zhang |
| Author_xml | – sequence: 1 givenname: William Wei-Liang surname: Li fullname: Li, William Wei-Liang email: wlli@ieee.org organization: Dept. of Electr. & Comput. Eng., Univ. of California, Santa Barbara, Santa Barbara, CA, USA – sequence: 2 surname: Yuan Shen fullname: Yuan Shen email: shenyuan@mit.edu organization: Lab. for Inf. & Decision Syst. (LIDS), Massachusetts Inst. of Technol., Cambridge, MA, USA – sequence: 3 surname: Ying Jun Zhang fullname: Ying Jun Zhang email: yjzhang@ie.cuhk.edu.hk organization: Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China – sequence: 4 givenname: Moe Z. surname: Win fullname: Win, Moe Z. email: moewin@mit.edu organization: Lab. for Inf. & Decision Syst. (LIDS), Massachusetts Inst. of Technol., Cambridge, MA, USA |
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| Snippet | In wireless location-aware networks, mobile nodes (agents) typically obtain their positions using the range measurements to the nodes with known positions.... |
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| StartPage | 1918 |
| SubjectTerms | Accuracy Localization Measurement Optimization Programming resource allocation Resource management robust optimization Robustness second-order conic programming (SOCP) semidefinite programming (SDP) Uncertainty wireless networks |
| Title | Robust Power Allocation for Energy-Efficient Location-Aware Networks |
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