2nd International Conference on Broadband Networks, 2005. 2005
DOI: 10.1109/icbn.2005.1589712
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QoS-based geographic routing for event-driven image sensor networks

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Cited by 19 publications
(13 citation statements)
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“…To the best of our knowledge, the most closely related works are as follows: in network condition class, imaging data are employed in routing. In [28], constructing relative geographical topology of the network for routing along with adaptive priority leads to the ability of supporting the event driven applications.…”
Section: Related Workmentioning
confidence: 99%
“…To the best of our knowledge, the most closely related works are as follows: in network condition class, imaging data are employed in routing. In [28], constructing relative geographical topology of the network for routing along with adaptive priority leads to the ability of supporting the event driven applications.…”
Section: Related Workmentioning
confidence: 99%
“…Although this crosslayer framework is shown to provide fast dissemination and balanced operation in an heterogeneous setting, transport layer issues such as congestion control have not been addressed. In [27], a routing protocol is proposed, where a weighted cost function including position cost, queuing cost, and remaining energy cost is used for relay selection. The position cost is associated with the angular offset of the potential relay node from the base station as seen by the transmitting node.…”
Section: Introductionmentioning
confidence: 99%
“…QoS-Based Geographic Routing for Event-Driven Image Sensor Networks supports two types of traffic: periodic low-bandwidth data and event driven high bandwidth data which is generated by image sensor node [13]. The protocol uses a geographic approach to forward the packets, and it introduces a cost function in which three parameters of neighboring nodes are considered when making next-hop routing decisions.…”
Section: Introductionmentioning
confidence: 99%