2009
DOI: 10.1016/j.jss.2008.12.029
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Autonomous mobile agent routing for efficient server resource allocation

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Cited by 5 publications
(4 citation statements)
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References 38 publications
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“…Lavi et al (2005) introduced a mobility and group management architecture, enabling real-time collaborative group applications such as push-to-talk for mobile users and multicast overlay for data delivery. Baousis et al (2009) proposed distributed, adaptive routing schemes on mobile agents to overcome risks like load oscillations. Tacconi et al (2010) proposed a system architecture for enabling mobile nodes to query a deployed wireless sensor network in an intelligent transportation system scenario.…”
Section: Mobile Serversmentioning
confidence: 99%
“…Lavi et al (2005) introduced a mobility and group management architecture, enabling real-time collaborative group applications such as push-to-talk for mobile users and multicast overlay for data delivery. Baousis et al (2009) proposed distributed, adaptive routing schemes on mobile agents to overcome risks like load oscillations. Tacconi et al (2010) proposed a system architecture for enabling mobile nodes to query a deployed wireless sensor network in an intelligent transportation system scenario.…”
Section: Mobile Serversmentioning
confidence: 99%
“…Software agents will continuously perform tasks that have been assigned by the user in a specific environment [7]. Agent has the ability or characteristic such as cooperative, independent, able to communicate between agents, and mobility [8]. Agents can move from one node to another node freely according to a given task.…”
Section: Introductionmentioning
confidence: 99%
“…Software agents will continuously perform tasks that have been assigned by the user in a specific environment [7]. Agent has the ability or characteristic such as cooperative, independent, able to communicate between agents, and mobility [8]. Agents can move from one node to another node freely according to a given task.…”
Section: Introductionmentioning
confidence: 99%