Distributed symmetric function computation in noisy wireless sensor networks

Lei Ying, R. Srikant, Geir E. Dullerud

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

In this correspondence, we consider a wireless sensor network consisting of n sensors, and each sensor has a measurement, which is an integer value belonging to the set {0,⋯,m-1}, so that it can be represented by [log2 m] bits. The network has a special node called the fusion center whose goal is to compute a symmetric function of these measurements. The problem studied is to minimize the total transmission energy used by the network when computing this function, subject to the constraint that this computation be correct with high probability. We assume the wireless channels are binary symmetric channels with a probability of error p, and that each sensor uses ralpha units of energy to transmit each bit, where r is the transmission range of the sensor. For constant m, the main result in this correspondence is an algorithm whose energy usage is κ ⌈log2 m⌉ n(log log n) (8 √ n/log n)α, where κ = ⌈ 4/-log(4p(1-p))⌉. Then, we consider the case where the sensor network observes N events. In this case, we demonstrate a network algorithm which has energy usage Θ(n(√n/log n)α) per event if the number of events satisfies N = Ω(loglog n).

Original languageEnglish (US)
Pages (from-to)4826-4833
Number of pages8
JournalIEEE Transactions on Information Theory
Volume53
Issue number12
DOIs
StatePublished - 2007
Externally publishedYes

Fingerprint

Wireless sensor networks
Sensors
energy
event
Sensor networks
Fusion reactions
Values

Keywords

  • Binary symmetric channel
  • Function computation
  • Reception diversity
  • Sensor network
  • Wireless network

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

Cite this

Distributed symmetric function computation in noisy wireless sensor networks. / Ying, Lei; Srikant, R.; Dullerud, Geir E.

In: IEEE Transactions on Information Theory, Vol. 53, No. 12, 2007, p. 4826-4833.

Research output: Contribution to journalArticle

Ying, Lei ; Srikant, R. ; Dullerud, Geir E. / Distributed symmetric function computation in noisy wireless sensor networks. In: IEEE Transactions on Information Theory. 2007 ; Vol. 53, No. 12. pp. 4826-4833.
@article{92683fa06602488ba9e01ab1fa8bc4a1,
title = "Distributed symmetric function computation in noisy wireless sensor networks",
abstract = "In this correspondence, we consider a wireless sensor network consisting of n sensors, and each sensor has a measurement, which is an integer value belonging to the set {0,⋯,m-1}, so that it can be represented by [log2 m] bits. The network has a special node called the fusion center whose goal is to compute a symmetric function of these measurements. The problem studied is to minimize the total transmission energy used by the network when computing this function, subject to the constraint that this computation be correct with high probability. We assume the wireless channels are binary symmetric channels with a probability of error p, and that each sensor uses ralpha units of energy to transmit each bit, where r is the transmission range of the sensor. For constant m, the main result in this correspondence is an algorithm whose energy usage is κ ⌈log2 m⌉ n(log log n) (8 √ n/log n)α, where κ = ⌈ 4/-log(4p(1-p))⌉. Then, we consider the case where the sensor network observes N events. In this case, we demonstrate a network algorithm which has energy usage Θ(n(√n/log n)α) per event if the number of events satisfies N = Ω(loglog n).",
keywords = "Binary symmetric channel, Function computation, Reception diversity, Sensor network, Wireless network",
author = "Lei Ying and R. Srikant and Dullerud, {Geir E.}",
year = "2007",
doi = "10.1109/TIT.2007.909156",
language = "English (US)",
volume = "53",
pages = "4826--4833",
journal = "IEEE Transactions on Information Theory",
issn = "0018-9448",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "12",

}

TY - JOUR

T1 - Distributed symmetric function computation in noisy wireless sensor networks

AU - Ying, Lei

AU - Srikant, R.

AU - Dullerud, Geir E.

PY - 2007

Y1 - 2007

N2 - In this correspondence, we consider a wireless sensor network consisting of n sensors, and each sensor has a measurement, which is an integer value belonging to the set {0,⋯,m-1}, so that it can be represented by [log2 m] bits. The network has a special node called the fusion center whose goal is to compute a symmetric function of these measurements. The problem studied is to minimize the total transmission energy used by the network when computing this function, subject to the constraint that this computation be correct with high probability. We assume the wireless channels are binary symmetric channels with a probability of error p, and that each sensor uses ralpha units of energy to transmit each bit, where r is the transmission range of the sensor. For constant m, the main result in this correspondence is an algorithm whose energy usage is κ ⌈log2 m⌉ n(log log n) (8 √ n/log n)α, where κ = ⌈ 4/-log(4p(1-p))⌉. Then, we consider the case where the sensor network observes N events. In this case, we demonstrate a network algorithm which has energy usage Θ(n(√n/log n)α) per event if the number of events satisfies N = Ω(loglog n).

AB - In this correspondence, we consider a wireless sensor network consisting of n sensors, and each sensor has a measurement, which is an integer value belonging to the set {0,⋯,m-1}, so that it can be represented by [log2 m] bits. The network has a special node called the fusion center whose goal is to compute a symmetric function of these measurements. The problem studied is to minimize the total transmission energy used by the network when computing this function, subject to the constraint that this computation be correct with high probability. We assume the wireless channels are binary symmetric channels with a probability of error p, and that each sensor uses ralpha units of energy to transmit each bit, where r is the transmission range of the sensor. For constant m, the main result in this correspondence is an algorithm whose energy usage is κ ⌈log2 m⌉ n(log log n) (8 √ n/log n)α, where κ = ⌈ 4/-log(4p(1-p))⌉. Then, we consider the case where the sensor network observes N events. In this case, we demonstrate a network algorithm which has energy usage Θ(n(√n/log n)α) per event if the number of events satisfies N = Ω(loglog n).

KW - Binary symmetric channel

KW - Function computation

KW - Reception diversity

KW - Sensor network

KW - Wireless network

UR - http://www.scopus.com/inward/record.url?scp=64549142483&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=64549142483&partnerID=8YFLogxK

U2 - 10.1109/TIT.2007.909156

DO - 10.1109/TIT.2007.909156

M3 - Article

AN - SCOPUS:64549142483

VL - 53

SP - 4826

EP - 4833

JO - IEEE Transactions on Information Theory

JF - IEEE Transactions on Information Theory

SN - 0018-9448

IS - 12

ER -