Internet of Things in Space: A Review of Opportunities and Challenges from Satellite-Aided Computing to Digitally-Enhanced Space Living

Kua, Jonathan; Arora, Chetan; Loke, Seng W.; Fernando, Niroshinie; Ranaweera, Chathurika

doi:10.3390/s21238117

Cited by 42 publications

(16 citation statements)

References 97 publications

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“…It can realize the location of the object through the tag. In general, it is a general trend to apply the Internet of Things to electric energy meter lifecycle management [14]. ISSN 2616-5902 Vol.…”

Section: Discussionmentioning

confidence: 99%

Analysis and Adoption of the Internet of Things in Life Cycle Management of Electric Energy Meters

2022

AJBM

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Objective: this research aims to design and implement the whole life cycle management system of electric energy meters based on the Internet of Things. Methods: first, the current development status of power asset management and the Internet of Things industry in China is studied and analyzed, and the existing problems of power asset management are pointed out. Then, the radio frequency identification (RFID) technology used in system design is introduced in detail. After that, the design scheme of the system is introduced from the aspects of the overall design structure of the system and the development and operation environment. Finally, the concrete implementation and research results of the system are introduced and analyzed. Results: the results of actual investigation and analysis show that the system proposed in this research has good practical application value, realizing the full life cycle management of electric energy meters, shortening the time of each stage of asset management, and greatly improving the work efficiency of managers. Conclusion: the Internet of Things technology has high application value and prospects in electric energy meter life cycle management.

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Section: Discussionmentioning

confidence: 99%

Analysis and Adoption of the Internet of Things in Life Cycle Management of Electric Energy Meters

2022

AJBM

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“…The objective here is to identify a set of features and adaptations enabling the operation of NB-IoT within NTN structure with a priority on satellite access. In this context, some works have already started to adapt and evaluate these protocols under the NGSO system constraints specifically the relative satellite motion [296]- [299]. Nevertheless, the progress is still in an early stage and more research efforts are required for a seamless integration, particularly in connecting NGSO satellites to mobile or stationary IoT devices and supporting ultra reliable low latency communications.…”

Section: E Iot Via Ngso Satellitesmentioning

confidence: 99%

A Survey on Nongeostationary Satellite Systems: The Communication Perspective

Al-Hraishawi

Chougrani

Kisseleff

et al. 2023

IEEE Commun. Surv. Tutorials

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The next phase of satellite technology is being characterized by a new evolution in non-geostationary orbit (NGSO) satellites, which conveys exciting new communication capabilities to provide non-terrestrial connectivity solutions and to support a wide range of digital technologies from various industries. NGSO communication systems are known for a number of key features such as lower propagation delay, smaller size, and lower signal losses in comparison to the conventional geostationary orbit (GSO) satellites, which can potentially enable latency-critical applications to be provided through satellites. NGSO promises a substantial boost in communication speed and energy efficiency, and thus, tackling the main inhibiting factors of commercializing GSO satellites for broader utilization. The promised improvements of NGSO systems have motivated this paper to provide a comprehensive survey of the state-of-theart NGSO research focusing on the communication prospects, including physical layer and radio access technologies along with the networking aspects and the overall system features and architectures. Beyond this, there are still many NGSO deployment challenges to be addressed to ensure seamless integration not only with GSO systems but also with terrestrial networks. These unprecedented challenges are also discussed in this paper, including coexistence with GSO systems in terms of spectrum access and regulatory issues, satellite constellation and architecture designs, resource management problems, and user equipment requirements. Finally, we outline a set of innovative research directions and new opportunities for future NGSO research.

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“…A gathering of vehicles arranged in VANETs is utilized in this way to deal with make a protected and dynamic VC. It considers secure combination and trade of information in all vehicle assets, and any cloud client can deal with their information safely after the framing in [21] presented the VANET framework convention PW-CPPA-GkA to guarantee the shielding of the secret wordbased validation and gathering keys. There are a few elements in this strategy, for example, yield, client info and secret key changes.…”

Section: Related Workmentioning

confidence: 99%

Data Security Enhancement in 4G Vehicular Networks Based on Reinforcement Learning for Satellite Edge Computing

Lira

Kumari

Raman

et al. 2022

Int. j. commun. netw. inf. secur.

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The vehicular network provides the dedicated short-range communication (DSRC) with IEEE 802.11p standard. The VANET model comprises of cellular vehicle-to-everything communication with wireless communication technology. Vehicular Edge Computing exhibits the promising technology to provide promising Intelligent Transport System Services. Smart application and urban computing. Satellite edge computing model is adopted in vehicular networks to provide services to the VANET communication for the management of computational resources for the end-users to provide access to low latency services for maximal execution of service. The satellite edge computing model implemented with the 4G vehicular communication network model subjected to data security issues. This paper presented a Route Computation Deep Learning Model (RCDL) to improve security in VANET communication with 4G technology. The RCDL model uses the route establishment model with the optimal route selection. The compute route is transmitted with the cryptographic scheme model for the selection of optimal route identified from the satellite edge computing model. The proposed RCDL scheme uses the deep learning-based reinforcement learning scheme for the attack prevention in the VANET environment employed with the 4G technology communication model. The simulation results expressed that proposed RCDL model achieves the higher PDR value of 98% which is ~6% higher than the existing model. The estimation of end-to-end delay is minimal for the RCDL scheme and improves the VANET communication.

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Internet of Things in Space: A Review of Opportunities and Challenges from Satellite-Aided Computing to Digitally-Enhanced Space Living

Cited by 42 publications

References 97 publications

Analysis and Adoption of the Internet of Things in Life Cycle Management of Electric Energy Meters

Analysis and Adoption of the Internet of Things in Life Cycle Management of Electric Energy Meters

A Survey on Nongeostationary Satellite Systems: The Communication Perspective

Data Security Enhancement in 4G Vehicular Networks Based on Reinforcement Learning for Satellite Edge Computing

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