Wireless RF Energy Transfer in the Massive IoT Era by Onel Alcaraz López & Hirley Alves

Author:Onel Alcaraz López & Hirley Alves [Alcaraz López, Onel & Alves, Hirley]
Language: eng
Format: epub
ISBN: 9781119718697
Published: 2021-11-06T00:17:33+00:00

Figure 5.6 Complementary CDF (CCDF) of the area RF energy coverage for the scenario and optimization strategies illustrated in Figure 5.5.

The number of points virtually deployed in the area before running the previously discussed optimization approaches impacts heavily the performance results. The greater the number of measurement points (or virtual EH devices), the better the performance results as illustrated in Figure 5.7, although convergence becomes slower since the optimization complexity increases. This does not apply to the traditional circle packing approach (circle packing + equal transmit power) which does not require deploying virtual points. On the other hand, observe the performance gains from incorporating power control to the circle packing approach, and from using more PSO particles as the number of virtual points increases. Interestingly, our proposed GIM framework outperforms all its competitors when deploying a sufficiently large number of measurement points.

Figure 5.7 Average worst-case RF energy available in the area2 as a function of the number of virtual points randomly deployed to execute the optimization approaches.

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