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Multi-hop sensor ne...
Multi-hop sensor network scheduling for optimal remote estimation?
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- Iwaki, Takuya, 1986- (författare)
- KTH,Reglerteknik,Sch Elect Engn & Comp Sci, S-10044 Stockholm, Sweden.
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- Wu, Junfeng (författare)
- Zhejiang Univ, Coll Control Sci & Engn, Hangzhou 310027, Peoples R China.
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- Wu, Yuchi (författare)
- Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Hong Kong, Peoples R China.
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- Sandberg, Henrik (författare)
- KTH,ACCESS Linnaeus Centre,Reglerteknik,Sch Elect Engn & Comp Sci, S-10044 Stockholm, Sweden.
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- Johansson, Karl H., 1967- (författare)
- KTH,Reglerteknik,ACCESS Linnaeus Centre,Sch Elect Engn & Comp Sci, S-10044 Stockholm, Sweden.
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(creator_code:org_t)
- Elsevier BV, 2021
- 2021
- Engelska.
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Ingår i: Automatica. - : Elsevier BV. - 0005-1098 .- 1873-2836. ; 127
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- This paper studies a design problem of how a group of wireless sensors are selected and scheduled to transmit data efficiently over a multi-hop network subject to energy considerations, when the sensors are observing multiple independent discrete-time linear systems. Each time instant, a subset of sensors is selected to transmit their measurements to a remote estimator. We formulate an optimization problem, in which a network schedule is searched to minimize a linear combination of the averaged estimation error and the averaged transmission energy consumption. It is shown that the optimal network schedule forms a tree with root at the gateway node. From this observation, we manage to separate the optimization problem into two subproblems: tree planning and sensor selection. We solve the sensor selection subproblem by a Markov decision process, showing that the optimal solution admits a periodic structure when the transmission cost is sufficiently low. Efficient algorithms are proposed and they are shown to reduce the computational complexity of the original optimization problem. Numerical studies illustrate the effectiveness of the proposed algorithms, and show that they are scalable to large networks.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Nyckelord
- State estimation
- Medium access control
- Sensor networks
- Sensor scheduling
- Markov decision process
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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