Optimal energy allocation and storage control for distributed estimation with sensor collaboration

Sijia Liu; Yanzhi Wang; Makan Fardad; Pramod K. Varshney

doi:10.1109/CISS.2016.7460474

Optimal energy allocation and storage control for distributed estimation with sensor collaboration

Sijia Liu, Yanzhi Wang, Makan Fardad, Pramod K. Varshney

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Entry/Poem › Conference contribution

7 Scopus citations

Abstract

In wireless sensor networks with energy harvesting nodes, we study the problem of energy allocation and storage control for distributed estimation with sensor collaboration, where collaboration refers to the act of sharing measurements with neighboring sensors prior to transmission to a fusion center. To jointly design energy allocation and storage control polices, we formulate a nonconvex optimization problem in which the estimation distortion is minimized subject to energy harvesting and storage constraints. We show that the resulting optimization problem contains two special types of nonconvexities: cardinality function and difference of convex functions. By exploiting the problem structure, locally optimal solutions are found via an ℓ1 relaxation and a convex-concave procedure. Numerical experiments are provided to show the effectiveness of our approach.

Original language	English (US)
Title of host publication	2016 50th Annual Conference on Information Systems and Sciences, CISS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	42-47
Number of pages	6
ISBN (Electronic)	9781467394574
DOIs	https://doi.org/10.1109/CISS.2016.7460474
State	Published - Apr 26 2016
Event	50th Annual Conference on Information Systems and Sciences, CISS 2016 - Princeton, United States Duration: Mar 16 2016 → Mar 18 2016

Publication series

Name	2016 50th Annual Conference on Information Systems and Sciences, CISS 2016

Other

Other	50th Annual Conference on Information Systems and Sciences, CISS 2016
Country/Territory	United States
City	Princeton
Period	3/16/16 → 3/18/16

Keywords

Convex optimization
Distributed estimation
Energy harvesting and storage
Sensor collaboration
Sparsity

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

Access to Document

10.1109/CISS.2016.7460474

Cite this

Liu, S., Wang, Y., Fardad, M., & Varshney, P. K. (2016). Optimal energy allocation and storage control for distributed estimation with sensor collaboration. In 2016 50th Annual Conference on Information Systems and Sciences, CISS 2016 (pp. 42-47). Article 7460474 (2016 50th Annual Conference on Information Systems and Sciences, CISS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISS.2016.7460474

Optimal energy allocation and storage control for distributed estimation with sensor collaboration. / Liu, Sijia; Wang, Yanzhi; Fardad, Makan et al.
2016 50th Annual Conference on Information Systems and Sciences, CISS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 42-47 7460474 (2016 50th Annual Conference on Information Systems and Sciences, CISS 2016).

Research output: Chapter in Book/Entry/Poem › Conference contribution

Liu, S, Wang, Y, Fardad, M & Varshney, PK 2016, Optimal energy allocation and storage control for distributed estimation with sensor collaboration. in 2016 50th Annual Conference on Information Systems and Sciences, CISS 2016., 7460474, 2016 50th Annual Conference on Information Systems and Sciences, CISS 2016, Institute of Electrical and Electronics Engineers Inc., pp. 42-47, 50th Annual Conference on Information Systems and Sciences, CISS 2016, Princeton, United States, 3/16/16. https://doi.org/10.1109/CISS.2016.7460474

Liu S, Wang Y, Fardad M , Varshney PK. Optimal energy allocation and storage control for distributed estimation with sensor collaboration. In 2016 50th Annual Conference on Information Systems and Sciences, CISS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 42-47. 7460474. (2016 50th Annual Conference on Information Systems and Sciences, CISS 2016). doi: 10.1109/CISS.2016.7460474

Liu, Sijia ; Wang, Yanzhi ; Fardad, Makan et al. / Optimal energy allocation and storage control for distributed estimation with sensor collaboration. 2016 50th Annual Conference on Information Systems and Sciences, CISS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 42-47 (2016 50th Annual Conference on Information Systems and Sciences, CISS 2016).

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title = "Optimal energy allocation and storage control for distributed estimation with sensor collaboration",

abstract = "In wireless sensor networks with energy harvesting nodes, we study the problem of energy allocation and storage control for distributed estimation with sensor collaboration, where collaboration refers to the act of sharing measurements with neighboring sensors prior to transmission to a fusion center. To jointly design energy allocation and storage control polices, we formulate a nonconvex optimization problem in which the estimation distortion is minimized subject to energy harvesting and storage constraints. We show that the resulting optimization problem contains two special types of nonconvexities: cardinality function and difference of convex functions. By exploiting the problem structure, locally optimal solutions are found via an ℓ1 relaxation and a convex-concave procedure. Numerical experiments are provided to show the effectiveness of our approach.",

keywords = "Convex optimization, Distributed estimation, Energy harvesting and storage, Sensor collaboration, Sparsity",

author = "Sijia Liu and Yanzhi Wang and Makan Fardad and Varshney, {Pramod K.}",

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N2 - In wireless sensor networks with energy harvesting nodes, we study the problem of energy allocation and storage control for distributed estimation with sensor collaboration, where collaboration refers to the act of sharing measurements with neighboring sensors prior to transmission to a fusion center. To jointly design energy allocation and storage control polices, we formulate a nonconvex optimization problem in which the estimation distortion is minimized subject to energy harvesting and storage constraints. We show that the resulting optimization problem contains two special types of nonconvexities: cardinality function and difference of convex functions. By exploiting the problem structure, locally optimal solutions are found via an ℓ1 relaxation and a convex-concave procedure. Numerical experiments are provided to show the effectiveness of our approach.

AB - In wireless sensor networks with energy harvesting nodes, we study the problem of energy allocation and storage control for distributed estimation with sensor collaboration, where collaboration refers to the act of sharing measurements with neighboring sensors prior to transmission to a fusion center. To jointly design energy allocation and storage control polices, we formulate a nonconvex optimization problem in which the estimation distortion is minimized subject to energy harvesting and storage constraints. We show that the resulting optimization problem contains two special types of nonconvexities: cardinality function and difference of convex functions. By exploiting the problem structure, locally optimal solutions are found via an ℓ1 relaxation and a convex-concave procedure. Numerical experiments are provided to show the effectiveness of our approach.

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Optimal energy allocation and storage control for distributed estimation with sensor collaboration

Abstract

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Keywords

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