Energy Management in RFID-Sensor Networks: Taxonomy and Challenges

Abstract

Ubiquitous Computing is foreseen to play an important role for data production and network connectivity in the coming decades. The Internet of Things (IoT) research which has the capability to encapsulate identification potential and sensing capabilities, strives towards the objective of developing seamless, interoperable and securely integrated systems which can be achieved by connecting the Internet with computing devices. This gives way for the evolution of wireless energy harvesting and power transmission using computing devices. Radio Frequency (RF) based Energy Management (EM) has become the backbone for providing energy to wireless integrated systems. The two main techniques for EM in RFID Sensor Networks (RSN) are Energy Harvesting (EH) and Energy Transfer (ET). These techniques enable the dynamic energy level maintenance and optimisation as well as ensuring reliable communication which adheres to the goal of increased network performance and lifetime. In this paper, we present an overview of RSN, its types of integration and relative applications. We then provide the state-of-the-art EM techniques and strategies for RSN from August 2009 till date, thereby reviewing the existing EH and ET mechanisms designed for RSN. The taxonomy on various challenges for EM in RSN has also been articulated for open research directives.

Application of IoT in Healthcare: Keys to Implementation of the Sustainable Development Goals

“…Anjum [ 117 ] studies RF-based power management to provide power to wireless embedded systems. Dynamic power level maintenance and optimization are analyzed, as well as ensuring reliable communication that adheres to the goal of increased network performance and lifetime [ 118 , 119 ].…”

A Review of IoT Sensing Applications and Challenges Using RFID and Wireless Sensor Networks

“…To seek this optimization, several magnitudes such as energy conservation, recharging and optimization of the harvested energy need to be taken into consideration. This is still a pending task to be optimized in order to achieve a proper energy efficient integrated system [58] . A summary of RFID, WSN and the combination of both is shown in Table 3.…”

Compressive Sensing for Remote Flood Monitoring

“…In the proposed method, unlike the conventional WSN, instead of transmitting each captured sample, we transmit a number of samples in a compressed packet. So that, the senor nodes can save considerable amount of energy by transmitting much less number of packets [26]. We discuss the energy model used and show how the compression techniques have reduced the energy consumption of the nodes.…”