Energy Management in RFID-Sensor Networks: Taxonomy and Challenges

Autor: Muhammad Alam, Rafidah Md Noor, Shaik Shabana Anjum, Muhammad Khurram Khan, Fazidah Othman, Ismail Ahmedy, Mohammad Hossein Anisi
Rok vydání: 2019
Předmět:
Zdroj: IEEE Internet of Things Journal. 6:250-266
ISSN: 2372-2541
DOI: 10.1109/jiot.2017.2728000
Popis: 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 toward 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 (EH) 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 RF identification sensor networks (RSN) are EH and energy transfer (ET). These techniques enable the dynamic energy level maintenance and optimization 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.
Databáze: OpenAIRE