| Title | Structural Cost-Optimal Design of Sensor Networks for Distributed Estimation |
| Publication Type | Journal Article |
| Year of Publication | 2018 |
| Authors | Doostmohammadian, M., and H. R. Rabiee |
| Journal | IEEE Signal Processing Letters |
| Volume | 25 |
| Issue | 6 |
| Start Page | 793 |
| Pagination | 793-797 |
| Date Published | 06/2018 |
| ISSN | 1070-9908 |
| Accession Number | 17731896 |
| Keywords | Combinatorics, cost optimization, distributed estimation, structural observability, system digraph |
| Abstract | In this letter, we discuss cost optimization of sensor networks monitoring structurally full-rank systems under distributed observability constraint. Using structured systems theory, the problem is relaxed into two subproblems: first, sensing cost optimization; and second, networking cost optimization. Both problems are reformulated as combinatorial optimization problems. The sensing cost optimization is shown to have a polynomial-order solution. The networking cost optimization is shown to be NP-hard in general, but has a polynomial-order solution under specific conditions. A 2-approximation polynomial-order relaxation is provided for general networking cost optimization, which is applicable in large-scale system monitoring. |
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