2013
DOI: 10.1007/s11235-013-9769-z
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Fish bone structure based data aggregation and routing in wireless sensor network: multi-agent based approach

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Cited by 11 publications
(8 citation statements)
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“…To mitigate these problems, in rendezvous-node based data collection strategy, a mobile sink collects data from a few rendezvous nodes [22] [23] over a designated tree-like backbone [24] [28], cluster-heads [35] [36] [37] or routing-backbone [29] [38], instead of traveling all source nodes in the network. In the literature, rendezvous-node based strategies have been developed for two varieties of networks: obstacle-free and obstructed-networks.…”
Section: Related Workmentioning
confidence: 99%
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“…To mitigate these problems, in rendezvous-node based data collection strategy, a mobile sink collects data from a few rendezvous nodes [22] [23] over a designated tree-like backbone [24] [28], cluster-heads [35] [36] [37] or routing-backbone [29] [38], instead of traveling all source nodes in the network. In the literature, rendezvous-node based strategies have been developed for two varieties of networks: obstacle-free and obstructed-networks.…”
Section: Related Workmentioning
confidence: 99%
“…In rendezvous-node based data collection strategy [21] [22] [23], a mobile sink only visits and collects data from a few rendezvous nodes over a designated tree-like backbone [24], cluster-heads [25] [26] or routing-backbones (e.g., Honeycomb [27], Fish-bone [28], Starfish routing backbone [29], etc. ), instead of visiting all sensor nodes in the network.…”
Section: Introductionmentioning
confidence: 99%
“…Routing for data aggregation, compression, and fusion is very effective to decrease in-network data transmission. [2][3][4][5][6][7][8][9][10][11][12][13][14][15] In the shortest path tree (SPT), 2 each source sends its information to the sink along the shortest path between the two and overlapping paths are combined to form an aggregation tree. Energy efficient cluster-based data aggregation (ECBDA) 3 divides the monitoring region into multiple layers, forms K clusters for each layer according to the node residual energy and communication cost, fuses data in clusters, and routes data by efficient route discovery.…”
Section: Related Workmentioning
confidence: 99%
“…In Figure 7(a), when the node Node 105 (marked in yellow) sends its EDM, t is set to 1 at the moment, and all of the nodes within the green region receive the message, although only the red nodes forward the EDM further. Thus, we can have Forwarder(9, 7, 1) = f(7, 5), (11,5), (7,9), (11,9)g. After the EDM is forwarded by the red nodes in Figure 7(a), t is set to 2.…”
Section: Event Information Transmissionmentioning
confidence: 99%
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