Abstract
Internet of Things (IoT) can provide an on-line monitoring system for power substations and therefore offer a much more reliable maintenance strategy for power devices. However, energizing the monitoring sensors in a power substation and around High Voltage (HV) devices is difficult and costly. It is possible to reduce the installation costs significantly if the monitoring sensors can be self-sustainable. In this work, we study an autonomous Wireless Sensor Network(WSN), based on energy harvesting and wireless transfer of energy. In order to optimize the performance of this system, we propose and analyze two power allocation techniques, aiming to energize the monitoring sensors wirelessly. This paper concludes that by optimizing the parameters of the system, a self-sustainable WSN in a power substation can be successfully deployed.
Highlights
INTRODUCTIONInternet of Things (IoT) paradigm promises that, in the nearfuture, everything that would benefit from being connected will be connected, creating a massive and continuously growing network
One of the important challenges preventing the implementation of such Internet of Things (IoT) systems in a power substation area is the provision of energy to all nodes in the network: the numerous devices in IoT systems, including tiny monitoring sensors, would make it virtually impossible to wire them all to a stable source of energy; batteries would eventually run out of energy and woudl nto represent a long-term solution
We propose two power allocation methods to energize the monitoring sensors wirelessly, and to communicate between the nodes
Summary
Internet of Things (IoT) paradigm promises that, in the nearfuture, everything that would benefit from being connected will be connected, creating a massive and continuously growing network. We propose two power allocation methods to energize the monitoring sensors wirelessly, and to communicate between the nodes. In this system model, we are considering three sets of nodes, namely, a base node, power nodes and sensors. The base node is connected to a stable source of energy and is the final destination for the data transmitted by sensors. The ratio, 0 < r < 1, in which the energy harvested at the power node is divided between transmitting data to the base node and energizing the sensors, is a critical factor for optimizing the performance of the system. The power node assigns different transmission powers for energizing each sensor, but uses one single transmission power for transmitting the received data from all sensors back to the base node
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