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Complex event monitoring is computation-intensive.
To design such an efficient monitoring system, we must address the following challenges: 1. Complex event monitoring is computation-intensive.
However, apart from the limited bandwidth and energy, the high computation burden caused by complex events is another important problem, because sensors are constrained in computation capacity, while complex event monitoring is computation-intensive.
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The algorithm can effectively guarantee the equilibrium of energy consumption, but the algorithm is computation-intensive.
Co-simulation can be computation-intensive, with significant setup efforts.
Instead, although centralized approaches can provide optimal computation results, they are computation-intensive and not applicable for resource-constrained wireless sensor networks.
The convergence is of the order, where is the number of particles; consequently, they are computation-intensive algorithms.
One of the reasons for this could be the difficulty in calculations, which are computation-intensive and require adjustment of many parameters [33].
Bus non-on-time query is computation intensive and response time sensitive.
RLS (recursive least square) and Kalman-filtering approaches are computation intensive.
Installing invasive hemodynamic monitoring is labor-intensive per se.
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