Retinal Glaucoma Detection Using Deep Learning Algorithm

Maurya, Tanya; Kala, L.Suriya; Manasa, K N; Gunasekaran, K.

doi:10.18201/ijisae.2022.267

Cited by 3 publications

(1 citation statement)

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“…There are many routing algorithm based on virtual infrastructure are proposed by many researchers. Whereas the Baranidharan et al [18] proposed a virtual infrastructure based routing algorithm which is energy efficient nature. It uses Geo nested routing technique in which a virtual multi ring structure is created for forwarding the data packet generated by the source sensor node.…”

Section: Related Workmentioning

confidence: 99%

Virtual Infrastructure based Routing Algorithm for IoT enabled Wireless Sensor Networks with Mobile Gateway

Bahadur

Lakshmanan

2022

IJRITCC

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The IoT technology is seeking the attention of industry and researcher day by day due to its large number of applications and is off monitoring and controlling the object from the remote location. The very basic and important element of IoT is wireless sensor network where sensor nodes are attached with the object and generates the sensory data related to the object an actuator can provide the movement to the object. To make it a success reliable and efficient communication model is the main requirement. To fulfil the objective related to IoT application success in this paper a communication protocol called virtual infrastructure based routing algorithm is proposed. In this proposal a virtual cross region structure is formed in the central of the sensor network, which is called meeting region. In this meeting region the sensor nodes send their generated data and the gateway node receives those data. The problem of energy hole, the mobile gateway node is considered in this proposal. The proposed algorithm is implemented using the standard wireless sensor network simulator tool and compared the performance of the proposed algorithm with the existing algorithm based on some standard performance metrics. The simulation outcome exhibits that the proposed algorithm outperformed the existing algorithms in different performance metrics.

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Section: Related Workmentioning

confidence: 99%