Bio-inspired multi-agent data harvesting in a proactive urban monitoring environment

Cited 34 time in webofscience Cited 0 time in scopus
  • Hit : 323
  • Download : 0
Vehicular sensor networks (VSNs) enable brand new and promising sensing applications, such as traffic reporting, relief to environmental monitoring, and distributed surveillance. In our past work, we have designed and implemented MobEyes, a middleware solution to support VSN-based urban monitoring, where agent vehicles (e.g., police cars) move around and harvest meta-data about sensed information from regular VSN-enabled vehicles. In urban sensing operations, multiple agents typically collaborate in harvesting and searching for key meta-data in parallel. Thus, it is critical to effectively coordinate the harvesting operations of the agents in a decentralized and lightweight way. The paper presents a bio-inspired meta-data harvesting algorithm, called datataxis, whose primary goal is to effectively cover large urban areas datataxis alternate foraging behaviors inspired by Escherichia coli chemotaxis and by Levy flights to favor agent movements towards "information patches" where the concentration of meta-data is high. The proposed scheme avoids harvesting duplication by preventing superfluous concentration of agents in the same region at the same time using stigmergy. We have validated datataxis via extensive simulations that demonstrate how the proposed bio-inspired behavior of harvesting agents effectively coordinates their movements, thus outperforming other decentralized strategies. Our solution was shown to be robust and to work well under a wide range of operation parameters, thus making it easily and rapidly deployable for different urban sensing operations. (C) 2008 Elsevier B.V. All rights reserved.
Publisher
ELSEVIER SCIENCE BV
Issue Date
2009-06
Language
English
Article Type
Article
Citation

AD HOC NETWORKS, v.7, no.4, pp.725 - 741

ISSN
1570-8705
DOI
10.1016/j.adhoc.2008.03.009
URI
http://hdl.handle.net/10203/99401
Appears in Collection
IE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 34 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0