A New Approach to Design Autonomous Wireless Sensor Node Based on RF Energy Harvesting System
AbstractEnergy Harvesting techniques are increasingly seen as the solution for freeing the wireless sensor nodes from their battery dependency. However, it remains evident that network performance features, such as network size, packet length, and duty cycle, are influenced by the sum of recovered energy. This paper proposes a new approach to defining the specifications of a stand-alone wireless node based on a Radio-frequency Energy Harvesting System (REHS). To achieve adequate performance regarding the range of the Wireless Sensor Network (WSN), techniques for minimizing the energy consumed by the sensor node are combined with methods for optimizing the performance of the REHS. For more rigor in the design of the autonomous node, a comprehensive energy model of the node in a wireless network is established. For an equitable distribution of network charges between the different nodes that compose it, the Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol is used for this purpose. The model considers five energy-consumption sources, most of which are ignored in recently used models. By using the hardware parameters of commercial off-the-shelf components (Mica2 Motes and CC2520 of Texas Instruments), the energy requirement of a sensor node is quantified. A miniature REHS based on a judicious choice of rectifying diodes is then designed and developed to achieve optimal performance in the Industrial Scientific and Medical (ISM) band centralized at
Share & Cite This Article
Mouapi, A.; Hakem, N. A New Approach to Design Autonomous Wireless Sensor Node Based on RF Energy Harvesting System. Sensors 2018, 18, 133.
Mouapi A, Hakem N. A New Approach to Design Autonomous Wireless Sensor Node Based on RF Energy Harvesting System. Sensors. 2018; 18(1):133.Chicago/Turabian Style
Mouapi, Alex; Hakem, Nadir. 2018. "A New Approach to Design Autonomous Wireless Sensor Node Based on RF Energy Harvesting System." Sensors 18, no. 1: 133.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.