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...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2015
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| Online Access: | http://hdl.handle.net/1721.1/97202 https://orcid.org/0000-0002-8573-0488 |
| _version_ | 1826212667772108800 |
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| author | Li, William Wei-Liang Shen, Yuan Zhang, Ying Jun Win, Moe Z. |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Li, William Wei-Liang Shen, Yuan Zhang, Ying Jun Win, Moe Z. |
| author_sort | Li, William Wei-Liang |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T15:32:12Z |
| format | Article |
| id | mit-1721.1/97202 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:32:12Z |
| publishDate | 2015 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/972022022-10-02T02:50:44Z Robust Power Allocation for Energy-Efficient Location-Aware Networks Li, William Wei-Liang Shen, Yuan Zhang, Ying Jun Win, Moe Z. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Laboratory for Information and Decision Systems Shen, Yuan Win, Moe Z. 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. National Natural Science Foundation (China) (Project 61201261) National Basic Research Program of China (973 Program) (61101131) University Grants Committee (Hong Kong, China) (GRF Grant Project 419509) National Science Foundation (U.S.) (Grant ECCS-0901034) United States. Office of Naval Research (Grant N00014-11-1-0397) Massachusetts Institute of Technology. Institute for Soldier Nanotechnologies 2015-06-05T18:23:12Z 2015-06-05T18:23:12Z 2013-12 2012-12 Article http://purl.org/eprint/type/JournalArticle 1063-6692 1558-2566 http://hdl.handle.net/1721.1/97202 Li, William Wei-Liang, Yuan Shen, Ying Jun Zhang, and Moe Z. Win. “Robust Power Allocation for Energy-Efficient Location-Aware Networks.” IEEE/ACM Transactions on Networking 21, no. 6 (December 2013): 1918–1930. https://orcid.org/0000-0002-8573-0488 en_US http://dx.doi.org/10.1109/TNET.2013.2276063 IEEE/ACM Transactions on Networking Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) arXiv |
| spellingShingle | Li, William Wei-Liang Shen, Yuan Zhang, Ying Jun Win, Moe Z. Robust Power Allocation for Energy-Efficient Location-Aware Networks |
| title | Robust Power Allocation for Energy-Efficient Location-Aware Networks |
| title_full | Robust Power Allocation for Energy-Efficient Location-Aware Networks |
| title_fullStr | Robust Power Allocation for Energy-Efficient Location-Aware Networks |
| title_full_unstemmed | Robust Power Allocation for Energy-Efficient Location-Aware Networks |
| title_short | Robust Power Allocation for Energy-Efficient Location-Aware Networks |
| title_sort | robust power allocation for energy efficient location aware networks |
| url | http://hdl.handle.net/1721.1/97202 https://orcid.org/0000-0002-8573-0488 |
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