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Exploring geographic context awareness for data dissemination on mobile ad hoc networks
Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil & Electrical Engineering Department, University of Brasilia, Brasilia, Brazil. (Electrical Engineering Department)ORCID iD: 0000-0003-4655-8889
Computer Science Department, Federal University of Lavras, 37200-000 Lavras, MG, Brazil.
Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
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2013 (English)In: Ad hoc networks, ISSN 1570-8705, E-ISSN 1570-8713, Vol. 11, no 6, p. 1746-1764Article in journal (Refereed) Published
Abstract [en]

The use of mobile software agents is a promising approach to implement services and disseminate data over ad hoc networks. This paper presents an analysis of mobile autonomous agents with different levels of intelligence that allow them to make usage of the positioning information with different complexity in a mobile ad hoc network aiming at efficient data dissemination. This information considers the nodes current and future locations, as well as the route used to reach their destinations, depending on the agents' intelligence. Using this information, the agents decide their movement from node to node during opportunistic connections in order to accomplish their goals related to data dissemination and/or service provisioning. The analysis of this proposal is done in the context of a sensor network application, implemented by sensing services provided by mobile agents, which run on top of an infrastructure-less Vehicular Ad hoc Network (VANET). Simulation results are presented and discussed to support the proposed ideas. (C) 2013 Elsevier B.V. All rights reserved.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2013. Vol. 11, no 6, p. 1746-1764
Keywords [en]
Wireless sensor networks, Delay tolerant networks, Mobile sensor nodes, Mobile software agents
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:hh:diva-22081DOI: 10.1016/j.adhoc.2013.04.001ISI: 000321177300007Scopus ID: 2-s2.0-84878699847OAI: oai:DiVA.org:hh-22081DiVA, id: diva2:620690
Available from: 2013-05-10 Created: 2013-05-10 Last updated: 2018-03-22Bibliographically approved

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Pignaton de Freitas, EdisonLarsson, Tony

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