Survey on energy harvesting wireless communications: Challenges and opportunities for radio resource allocation

Ahmed, Imran; Butt, M. Majid; Psomas, Constantinos; Mohamed, Amr; Krikidis, Ioannis; Guizani, Mohsen

doi:10.1016/j.comnet.2015.06.009

Cited by 63 publications

(27 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bhatnagar and Owende focused on low power system applications including various energy‐harvesting techniques, power conversion, and characteristics of mini‐ and micro‐scale self‐sustaining power generation systems. Ahmed et al reviewed recent research in the field of energy‐harvesting communications and presented a survey on resource allocation in the area of energy harvesting. The issue of limited network life span with random energy arrival was outlined, and scope of research was summarized.…”

Section: Node Level Power Managementmentioning

confidence: 99%

A review on solar forecasting and power management approaches for energy‐harvesting wireless sensor networks

Kakkar

2020

Int J Communication

View full text Add to dashboard Cite

Summary For rechargeable wireless sensor nodes, effective power management is of prime importance because of the stochastic behaviour of the environmental resources. A key issue in integrating solar resources with wireless sensor networks (WSNs) is the need of precise irradiance measurements and power to resource modelling. WSNs are employed in an adhoc manner comprises of numerous sensing nodes and organised as a network for the sake of checking and balancing the environmental factors. Each node has sensing, computation, communication, and locomotion capabilities but operates with limited battery life. Energy harvesting is a way of powering these WSNs by harvesting energy from the environment. By considering harvested energy as an energy source, certain considerations are different from that of battery‐operated networks. Nondeterministic energy availability with respect to time is the reason behind these differences, which put a limit on the maximum rate at which energy can be used. Thus, reliable knowledge of solar radiation is essential for informed design, deployment planning, and optimal management of energy in rechargeable WSNs. Further, power management is essential in self‐powerssed networks to efficiently utilize the available energy. In this paper, a detailed survey on different solar forecasting techniques has been presented for precise energy estimates. A detailed study on energy efficient power management techniques is also proposed to address the feasibility of energy‐harvesting approach in WSNs.

show abstract

Section: Node Level Power Managementmentioning

confidence: 99%

A review on solar forecasting and power management approaches for energy‐harvesting wireless sensor networks

Kakkar

2020

Int J Communication

View full text Add to dashboard Cite

show abstract

“…e devices with EH capabilities can convert energy from the surrounding environment into electricity for data transmission, such as solar, wind, or RF signals [14]. Especially with the synchronous development of antenna and circuit designs, wireless EH based on RF signals has attracted more attention due to its advantages of wireless, low cost, and small form implementation [15][16][17]. Furthermore, the amount of harvested energy is in milliwatts, which is enough to power small-size IoMT devices, such as medical data sensors for short-distance transmissions.…”

Section: Introductionmentioning

confidence: 99%

Secure Information Transmissions in Wireless-Powered Cognitive Radio Networks for Internet of Medical Things

Tang

Luo

et al. 2020

Security and Communication Networks

View full text Add to dashboard Cite

In this paper, we consider the issue of the secure transmissions for the cognitive radio-based Internet of Medical ings (IoMT) with wireless energy harvesting. In these systems, a primary transmitter (PT) will transmit its sensitive medical information to a primary receiver (PR) by a multi-antenna-based secondary transmitter (ST), where we consider that a potential eavesdropper may listen to the PT's sensitive information. Meanwhile, the ST also transmits its own information concurrently by utilizing spectrum sharing. We aim to propose a novel scheme for jointly designing the optimal parameters, i.e., energy harvesting (EH) time ratio and secure beamforming vectors, for maximizing the primary secrecy transmission rate while guaranteeing secondary transmission requirement. For solving the nonconvex optimization problem, we transfer the problem into convex optimization form by adopting the semidefinite relaxation (SDR) method and Charnes-Cooper transformation technique. en, the optimal secure beamforming vectors and energy harvesting duration can be obtained easily by utilizing the CVX tools. According to the simulation results of secrecy transmission rate, i.e., secrecy capacity, we can observe that the proposed protocol for the considered system model can effectively promote the primary secrecy transmission rate when compared with traditional zero-forcing (ZF) scheme, while ensuring the transmission rate of the secondary system.

show abstract

“…Green wireless communication networks are designed in such a way as to provide as much energy efficiency as possible, compared to conventional wireless networks [1]. This is usually achieved by harvesting energy from natural resources (sun, wind, etc.)…”

Section: Introductionmentioning

confidence: 99%

A green wireless powered sensor network: An experimental approach

Kyprianou

Psomas

Krikidis

2016

2016 18th Mediterranean Electrotechnical Conference (MELECON)

Self Cite

View full text Add to dashboard Cite

This paper presents an experimental study of a green wireless powered communication network (WPCN), where sensors with wireless power transfer (WPT) capabilities are located at known positions and an energy transmitter (ETx) is employed to wirelessly power the uplink between the sensors and the access point (AP). By monitoring and measuring the charging time that the sensors require to power their operations, the ETx is turned on and off accordingly for a certain period of time in order to keep the packet transmission rate at a desired constant value. We consider a static and dynamic approach for the measurements and repeat the experiments for various packet rate constraints and different distances between the sensors and the ETx. Our results show that the power consumption of our smart ETx can achieve power savings of 80% compared to an ETx which operates continuously.Index Terms-Wireless power transfer, RF energy harvesting, wireless sensor networks, Powercast.

show abstract

Survey on energy harvesting wireless communications: Challenges and opportunities for radio resource allocation

Cited by 63 publications

References 64 publications

A review on solar forecasting and power management approaches for energy‐harvesting wireless sensor networks

A review on solar forecasting and power management approaches for energy‐harvesting wireless sensor networks

Secure Information Transmissions in Wireless-Powered Cognitive Radio Networks for Internet of Medical Things

A green wireless powered sensor network: An experimental approach

Contact Info

Product

Resources

About