Asymptotic results for decentralized detection in power constrained wireless sensor networks

Jean François Chamberland, Venugopal V. Veeravalli

Research output: Contribution to journalArticlepeer-review


In this paper, we study a binary decentralized detection problem in which a set of sensor nodes provides partial information about the state of nature to a fusion center. Sensor nodes have access to conditionally independent and identically distributed observations, given the state of nature, and transmit their data over a wireless channel. Upon reception of the information, the fusion center attempts to accurately reconstruct the state of nature. Specifically, we extend existing asymptotic results about large sensor networks to the case where the network is subject to a joint power constraint, and where the communication channel from each sensor node to the fusion center is corrupted by additive noise. Large deviation theory is used to show that having identical sensor nodes, i.e., each node using the same transmission scheme, is asymptotically optimal. Furthermore, a performance metric by which sensor node candidates can be compared is established. We supplement the theory with examples to illustrate how the results derived in this paper apply to the design of practical sensing systems.

Original languageEnglish (US)
Pages (from-to)1007-1015
Number of pages9
JournalIEEE Journal on Selected Areas in Communications
Issue number6
StatePublished - Aug 2004


  • Communication systems
  • Decision-making
  • Multi-sensor systems
  • Radio communication
  • Signal detection

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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