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Power Consumption Minimization of Wireless Sensor Networks in the Internet of Things Era

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Sensor Systems Simulations

Abstract

Wireless Sensor Networks (WSN) are key components of the Internet of Things (IoT) revolution. WSN nodes are in general battery-powered, thereby and efficient usage of their energy budget is of paramount importance to avoid performance degradation in IoT applications. To this end, this chapter proposes techniques to manage the WSN nodes’ power consumption. The aim of the first technique is to minimize the transmitted power for a given quality of service requirement at the receiver side. To this end, a power control is considered at each WSN node as well as the use of multiple distributed access points at the receiver side. The second technique to reduce the WSN energy consumption is energy harvesting (EH). Namely, the use of artificial light EH is considered to extend the WSN lifetime. Thus, an experimental setup based on a photovoltaic cell, a boost converter and a commercial WSN node is presented. It is shown that under certain settings it is possible to extend the WSN node’s lifetime without bound, when the transmission time period is above a certain threshold.

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Notes

  1. 1.

    From now on diag(x 1, …, x n) expresses a diagonal matrix with elements x 1, …, x n in its main diagonal.

  2. 2.

    It is worth saying that in a distributed MIMO scenario with a moderate number of APs, the transmitted power of the WSN can still be reduced. Actually, the power allocation proposed in this section still holds in that scenario, but it is suboptimal, as the MSE approximation in Eq. (7.8) requires a large number of APs.

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Correspondence to Jordi Serra .

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Serra, J., Pubill, D., Verikoukis, C. (2020). Power Consumption Minimization of Wireless Sensor Networks in the Internet of Things Era. In: van Driel, W., Pyper, O., Schumann, C. (eds) Sensor Systems Simulations. Springer, Cham. https://doi.org/10.1007/978-3-030-16577-2_7

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  • DOI: https://doi.org/10.1007/978-3-030-16577-2_7

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  • Online ISBN: 978-3-030-16577-2

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