Sol: A Data Fusion Protocol in Wireless Sensor Networks for Controlled Environment

Freitas, Leandro A.; Coimbra, Andre R.; Sacramento, Vagner; Rosseto, Silvana; Costa, Fábio M.

doi:10.1109/infcomw.2009.5072191

Cited by 4 publications

(1 citation statement)

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“…It uses buffer occupancy to detect the congestion and packets are dropped at the node preceding the congestion area for reducing the congestion. In [4] Fusion detects congestion by the help of queue length at each sensor node. The node which detects congestion sends an active congestion notification bit in the header of each outgoing packet.…”

Section: Related Workmentioning

confidence: 99%

Congestion detection in Wireless sensor network using neural network

Singhal

Yadav

2014

International Conference for Convergence for Technology-2014

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In Wireless sensor network (WSN), sink nodes are bottleneck of network due to congestion. Congestion deteriorates the overall performance of the system. So congestion detection in a WSN is very vital issue in the present scenario. In this paper, artificial neural network based congestion detection algorithm is developed. The neural network based congestion detection system uses number of participants, buffer occupancy, and traffic rate as input parameters and gives the congestion level as output. A number of NS-2 and MATLAB simulation results show that the proposed scheme accurately detects the congestion level and represents the state of congestion in the WSN.

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Section: Related Workmentioning

confidence: 99%