The performance of Node-to-Node (N2N) media streaming under Wireless Coverage Sensor Networks (WCSNs) depends on congestion control reducing the sink node load. This paper proposes a new Fuzzy Logic-based N2N Traffic Congestion Control (FL-NTCC) mechanism, to efficiently control traffic congestion in wireless coverage sensor networks. The proposed FL-NTCC congestion control mechanism is an efficient strategy that enhances the routing throughput for sensor nodes, and reduces traffic congestion and the uplink bit error rate in WCSNs. The proposed mechanism uses the Fuzzy Relevance Coefficient (FRC) μ, to control N2N traffic congestion in WCSNs. The simulation results show that in comparison with the other existing mechanisms, the proposed mechanism offers better performance.
Keywords
Fuzzy Relevance Coefficient, N2N, Traffic Congestion, Uplink Bit Error, WCSNS
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