The nose of a bloodhound: Target chasing aided by a static sensor network

Oliver Kosut, Lang Tong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The benefits of a large static sensor network to the problem of target chasing are explored. It is shown that a chaser is able to track down a moving target much more quickly with the aid of the static sensor network than without it. These sensors need not communicate with each other, only with the chaser when it comes near. In fact, it is enough for the sensors to remember only when the target was last nearby in order for the chaser to efficiently intercept the target This can be likened to the target leaving a trail from which the chaser is able to determine how long it has been since the target has been to a particular location, much like how a bloodhound is able to detect the scent of its prey. This trail gives no information about which direction the target was going, only when it was there, but this is still enough to find it.

Original languageEnglish (US)
Title of host publicationConference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC
Pages376-380
Number of pages5
DOIs
StatePublished - Dec 1 2007
Externally publishedYes
Event41st Asilomar Conference on Signals, Systems and Computers, ACSSC - Pacific Grove, CA, United States
Duration: Nov 4 2007Nov 7 2007

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other41st Asilomar Conference on Signals, Systems and Computers, ACSSC
CountryUnited States
CityPacific Grove, CA
Period11/4/0711/7/07

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ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

Kosut, O., & Tong, L. (2007). The nose of a bloodhound: Target chasing aided by a static sensor network. In Conference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC (pp. 376-380). [4487234] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2007.4487234