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Energy Management in RFID-Sensor Networks: Taxonomy and Challenges

Anjum, Shaik Shabana and Noor, Rafidah Md and Anisi, Mohammed Hossien and Ahmedy, Ismail Bin and Othman, Fazidah and Alam, Muhammad and Khan, Muhammad Khurran (2019) 'Energy Management in RFID-Sensor Networks: Taxonomy and Challenges.' IEEE Internet of Things Journal, 6 (1). pp. 250-266. ISSN 2327-4662

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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.

Item Type: Article
Uncontrolled Keywords: Energy harvesting (EH); energy management (EM); energy transfer (ET); Internet of Things (IoT); radio frequency identification (RFID); RFID sensor network (RSN); wireless sensor network (WSN)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 08 Nov 2018 16:39
Last Modified: 15 Jan 2022 01:20

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