Sentence examples for congestion monitoring from inspiring English sources

Bawa and Banerjee [25] propose a load equalization approach in ad hoc on-demand multipath distance vector routing (AOMDV) protocol that uses queues for congestion monitoring.

While determining a parking lot, the application also needs to discover some sort of road congestion monitoring service located in the roadside along the path to the parking lot.

The study concluded that the model is a decision supporting tool that assists in the resources planning, identifying time space congestion, monitoring the activities progress on a weekly basis from the location aspects, and reducing the gap when communicating the scheduling information amongst the construction site teams.

Interference-Minimized Multipath Routing (I2MR) [19] detects congestion by monitoring the size of data transmit buffer using exponential weighted moving averages.

Event to Sink Reliable Transport (ESRT) [10] protocol and Fusion [11] detect congestion by monitoring local buffer occupancy, whereas Congestion Control and Fairness (CCF) [12] and Rate-Controlled Reliable Transport (RCRT) [13] protocols use packet service time to estimate congestion.

These studies require novel diagnostic markers that identify early renal damage and renal congestion and allow monitoring of treatment responses in order to avoid severe worsening of renal function.

Upright chest radiographs still play an important role as a fast tool to rule out various chest diseases and cardiac congestion or to monitor response to therapy.

end{aligned} (10) Figure 5 Monitoring traffic congestion in the city.

Founded in 2010, Ridlr operates as a personal transport portal that allowed users buy tickets for public transport in 17 Indian cities and also monitor traffic congestion using IOT devices.

Since the number of packets in a node's packet queue is a direct indicator of its demand for transmission slots, in order to alleviate the congestion observed, we directly monitor the state of the nodes' packet queues.  .

These metrics illustrate how new traffic data can be deployed to monitor traffic congestion at different times and in different locations in even more detail for large urban areas.