SwePub
Sök i LIBRIS databas

  Extended search

id:"swepub:oai:DiVA.org:kth-293557"
 

Search: id:"swepub:oai:DiVA.org:kth-293557" > Multi-hop sensor ne...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Multi-hop sensor network scheduling for optimal remote estimation?

Iwaki, Takuya, 1986- (author)
KTH,Reglerteknik,Sch Elect Engn & Comp Sci, S-10044 Stockholm, Sweden.
Wu, Junfeng (author)
Zhejiang Univ, Coll Control Sci & Engn, Hangzhou 310027, Peoples R China.
Wu, Yuchi (author)
Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Hong Kong, Peoples R China.
show more...
Sandberg, Henrik (author)
KTH,ACCESS Linnaeus Centre,Reglerteknik,Sch Elect Engn & Comp Sci, S-10044 Stockholm, Sweden.
Johansson, Karl H., 1967- (author)
KTH,Reglerteknik,ACCESS Linnaeus Centre,Sch Elect Engn & Comp Sci, S-10044 Stockholm, Sweden.
show less...
 (creator_code:org_t)
Elsevier BV, 2021
2021
English.
In: Automatica. - : Elsevier BV. - 0005-1098 .- 1873-2836. ; 127
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)

Keyword

State estimation
Medium access control
Sensor networks
Sensor scheduling
Markov decision process

Publication and Content Type

ref (subject category)
art (subject category)

Find in a library

  • Automatica (Search for host publication in LIBRIS)

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Find more in SwePub

By the author/editor
Iwaki, Takuya, 1 ...
Wu, Junfeng
Wu, Yuchi
Sandberg, Henrik
Johansson, Karl ...
About the subject
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Electrical Engin ...
and Control Engineer ...
Articles in the publication
Automatica
By the university
Royal Institute of Technology

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view