2014
DOI: 10.14257/ijfgcn.2014.7.5.12
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Adaptive Distributed Gateway Discovery with Swarm Intelligence in Hybrid Wireless Networks

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Cited by 4 publications
(5 citation statements)
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“…This optimization algorithm would compute and select the optimized path from source node to the sink among all the possible paths, in which each possible path represents a solution. As new avenues in the field of optimization, swarm intelligence was defined by Bonabeau as the attempt to design algorithms or distributed problemsolving devices inspired by collective behavior of social insect colonies and other animal societies [16]. Common examples range from flock of birds to colony of bees.…”
Section: The Swarm Intelligent Algorithm Of Route Maintainingmentioning
confidence: 99%
“…This optimization algorithm would compute and select the optimized path from source node to the sink among all the possible paths, in which each possible path represents a solution. As new avenues in the field of optimization, swarm intelligence was defined by Bonabeau as the attempt to design algorithms or distributed problemsolving devices inspired by collective behavior of social insect colonies and other animal societies [16]. Common examples range from flock of birds to colony of bees.…”
Section: The Swarm Intelligent Algorithm Of Route Maintainingmentioning
confidence: 99%
“…With this technique, while a mobile node is in transit between two different gateways, it can temporally store messages before retransmitting. In reference [7], authors apply biologically inspired metaphor to design a hybrid gateway discovery.…”
Section: Related Workmentioning
confidence: 99%
“…Although this scheme achieves the routing overhead, it may increase route discovery delay since mobile nodes have to send a gateway discovery message every time they need a gateway. Few solutions [6,7] propose hybrid gateway discovery schemes where the dissemination of gateway advertisements is kept limited to a small range of n-hops (proactive area). Nodes outside this range use a reactive scheme to find their gateways.…”
Section: Introductionmentioning
confidence: 99%
“…Although this scheme achieves the routing overhead, it may increase route discovery delay since mobile nodes have to send a gateway discovery message every time they need a gateway. Few solutions [109] [110] propose hybrid gateway discovery schemes where the dissemination of gateway advertisements is kept limited to a small range of n-hops (proactive area). Nodes outside the coverage area use a reactive scheme to find their gateways.…”
Section: Interconnectivity In Heterogeneous Networkmentioning
confidence: 99%
“…With this technique, while a mobile node is in transit between two different gateways, it can temporally store messages before retransmitting. Zhang and Hu [110] apply biologically inspired metaphor to design a hybrid gateway discovery. Moreover, they propose a distributed gateway discovery based on the prediction model of mobility of nodes, which may require high processing power consumption and nodes have to wait longer period of time to select a path to a gateway.…”
Section: Related Workmentioning
confidence: 99%