Sensing, Computing, and Communications for Energy Harvesting IoTs: A Survey

Ma, Dong; Lan, Guohao; Hassan, Mahbub; Hu, Wen; Das, Sajal K.

doi:10.1109/comst.2019.2962526

Cited by 242 publications

(101 citation statements)

References 176 publications

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“…Together with the traditional energy grid, EH can help to fulfill the energy requirements of the different tiers of 5G networks including the sensors in IoTs, the mobile devices, the eNBs in HetNets, assisting relays in D2D systems, and the computing servers [96]. Additionally, the recent development in advanced materials and hardware designs helps realize the EH circuits for small portable consumer electronic devices which accelerate the adoption of EH for the IoTs [97].…”

Section: Mec With Energy Harvesting and Wireless Power Transfer Amentioning

confidence: 99%

“…• EH/WPT techniques can power the edge devices in the MEC systems to enlarge the set of options for computation offloading which will result in improving the network performance [107]. Specially in the IoT context, important use cases of MEC-enabled 5G networks, scavenging the ambient environment and utilizing WPT, provide promising solutions to perpetually support the massive number of electronic sensors [97]. Moreover, EH/WPT modules by leveraging green energy (e.g.…”

Section: B Motivationmentioning

confidence: 99%

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A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

et al. 2020

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Driven by the emergence of new compute-intensive applications and the vision of the Internet of Things (IoT), it is foreseen that the emerging 5G network will face an unprecedented increase in traffic volume and computation demands. However, end users mostly have limited storage capacities and finite processing capabilities, thus how to run compute-intensive applications on resource-constrained users has recently become a natural concern. Mobile edge computing (MEC), a key technology in the emerging fifth generation (5G) network, can optimize mobile resources by hosting compute-intensive applications, process large data before sending to the cloud, provide the cloud-computing capabilities within the radio access network (RAN) in close proximity to mobile users, and offer context-aware services with the help of RAN information. Therefore, MEC enables a wide variety of applications, where the real-time response is strictly required, e.g., driverless vehicles, augmented reality, robotics, and immerse media. Indeed, the paradigm shift from 4G to 5G could become a reality with the advent of new technological concepts. The successful realization of MEC in the 5G network is still in its infancy and demands for constant efforts from both academic and industry communities. In this survey, we first provide a holistic overview of MEC technology and its potential use cases and applications. Then, we outline up-to-date researches on the integration of MEC with the new technologies that will be deployed in 5G and beyond. We also summarize testbeds and experimental evaluations, and open source activities, for edge computing. We further summarize lessons learned from state-of-the-art research works as well as discuss challenges and potential future directions for MEC research.

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Section: Mec With Energy Harvesting and Wireless Power Transfer Amentioning

confidence: 99%

Section: B Motivationmentioning

confidence: 99%

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

et al. 2020

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“…IoT devices via open standard protocols [30], [31], [32], [33]. On the other hand, it provides more useful information that can be used for better maintenance of the system.…”

Section: Critical Infrastructures In Industry 40mentioning

confidence: 99%

Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0

Dai

Wang

2021

IEEE Internet Things J.

209

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Critical infrastructure systems are vital to underpin the functioning of a society and economy. Due to ever-increasing number of Internet-connected Internet-of-Things (IoTs) / Industrial IoT (IIoT), and high volume of data generated and collected, security and scalability are becoming burning concerns for critical infrastructures in industry 4.0. The blockchain technology is essentially a distributed and secure ledger that records all the transactions into a hierarchically expanding chain of blocks. Edge computing brings the cloud capabilities closer to the computation tasks. The convergence of blockchain and edge computing paradigms can overcome the existing security and scalability issues. In this paper, we first introduce the IoT/IIoT critical infrastructure in industry 4.0, and then we briefly present the blockchain and edge computing paradigms. After that, we show how the convergence of these two paradigms can enable secure and scalable critical infrastructures. Then, we provide a survey on state-of-the-art for security and privacy, and scalability of IoT/IIoT critical infrastructures. A list of potential research challenges and open issues in this area is also provided, which can be used as useful resources to guide future research.

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“…Reliable exchange of data by IoT sensors and actuators is one of the biggest challenges faced when deploying an IoT system. Although this kind of device has evolved radically in the last years, battery life, computation and storage capacity remain limited [9]. This means that they are not suitable for running heavy applications; instead, it is necessary to resort to more powerful computing resources, likely owned by third parties.…”

Section: Introductionmentioning

confidence: 99%

Efficient Modulation Scheme for Intermediate Relay-Aided IoT Networks

et al. 2020

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With the surge of ubiquitous demand for high-complexity and quality mobile Internet-of-things (IoT) services, new cooperative relaying paradigms have emerged. Motivated by the long and unpredictable end-to-end communication in relay-aided IoT networks, there is a need to introduce novel modulation schemes for very low bit error rate (BER) communications. In this paper, a practical modulation mapping scheme has been proposed to reduce decoding errors. Specifically, a hybrid automatic repeat request (HARQ) system has been used with an intermediate relay to transfer a message from a source to a destination. The design of modulation mapping has been optimized by first formulating the objective as the quadratic assignment problem. Later, the solution to the mapping problem is provided using an iterative search method. To validate the proposed solution, extensive simulations have been performed in MATLAB. The results show that the proposed solution outperforms the conventional relay retransmission and the heuristic design approaches.

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Sensing, Computing, and Communications for Energy Harvesting IoTs: A Survey

Cited by 242 publications

References 176 publications

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0

Efficient Modulation Scheme for Intermediate Relay-Aided IoT Networks

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