Priority Based Transmission Rate Control with Neural Network Controller in WMSNs

Wireless Multimedia Sensor Networks (WMSNs) are networks of wirelessly interconnected sensor nodes equipped with multimedia devices, such as cameras and microphones. Thus a WMSN will have the capability to transmit data, video audio streams, still images, scalar data from environment. Most applications WMSNs require delivery information certain level Quality Service (QoS). This is challenging task because typically produce huge volumes requiring high transmission rates extensive processing; rate usually leads congestion, which in turn reduces (QoS) applications. To address this challenge, paper proposes Neural Control Exponential Weight Priority Based Rate (NEWPBRC) algorithm for adjusting node facilitate problem congestion occur WMSNs. The proposed combines Network Controller (NC) (EWPBRC) algorithms. NC controller can calculate appropriate weight parameter ? (EW) estimating output sink node, then ,on basis priority each child , an assigned . support four different traf?c classes namely, Real Time class (RT class); High priority, Non Real-Time (NRT1 Medium (NRT2 Low (NRT3 class). Simulation result shows that effectively reduce enhance rate. Furthermore, by achieve better throughput, reduced delay loss probability.