scholarly journals Applying a sensor energy supply communication scheme to big data opportunistic networks

2016 ◽  
Vol 10 (5) ◽  
Keyword(s):  
Big Data ◽  
Energy Supply ◽  
Opportunistic Networks ◽  
Communication Scheme

scholarly journals Energy Transmission and Equilibrium Scheme in Data Communication Opportunistic Networks

2020 ◽  
Vol 3 (4) ◽  
pp. 54
Author(s):  
Kun Wang ◽  
Guoli Feng ◽  
Lizhong Zhang ◽  
Jia Wu
Keyword(s):  
Energy Consumption ◽  
Energy Supply ◽  
Data Communication ◽  
Opportunistic Networks ◽  
Energy Utilization ◽  
Opportunistic Network ◽  
Good Communication ◽  
Data Packets ◽  
Wireless Communication Network ◽  
Communication Scheme

In data communication, a good communication scheme can improve the transmission of data packets among nodes. The opportunistic network is a convenient wireless communication network and its model is easily applied in data communication. Energy consumption among nodes in the opportunistic network is an important parameter. The over-consumption of energy may cause the nodes to be dead, and then many useful data packets would be lost. Especially in data communication, this tendency is obvious. However, many researchers rarely consider energy consumption in the opportunistic network. This paper suggests a scheme in which data packets are transmitted among nodes. Energy supply and equilibrium is found in opportunistic networks. This scheme not only supplies energy to active nodes, but also considers inactive nodes to energy supply objects. Then, this scheme accomplishes data packets transmission and improves energy utilization in the opportunistic network. With the evidence of simulation and comparison of the epidemic algorithm, the direct delivery algorithm, and spray and wait algorithm in the opportunistic network, this scheme can be an equilibrium for energy consumption, for improving the delivering ratio, and the size of the cache time.

scholarly journals AI-powered Energy Internet Towards Carbon Neutrality: Challenges and Opportunities

2021 ◽  
Author(s):  
Chaojie Li
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Analysis ◽  
Energy Supply ◽  
Big Data Analysis ◽  
Energy Industry ◽  
Energy Internet ◽  
Carbon Neutrality ◽  
Intelligent Decision Making ◽  
Intelligent Decision

From self-driving vehicles, voice recognition based virtual digital assistants, smart thermostats to recommendation systems, Artificial Intelligence (AI) is becoming a crucial part of the carbon neutral society that has drawn considerable interest from energy supply firms, startups, technology developers, financial institutions, national governments and the academic community. The emergence of AI initiates numerous opportunities to transform energy industry to AI-powered smart system which can revolutionize traditional approaches of creativity thinking, strategical operation, and solution seeking, especially for accelerating carbon neutrality of our society. This survey provides a comprehensive overview of fundamental principles that underpin applications of big data analysis in Energy Internet (EI), such as smart energy supply and consumption, smart health and Fintech. Next, we focus on intelligent decision-making for the energy industry and inform the state-of-the-art by thoroughly reviewing the literature. Subsequently, cybersecurity issues for AI system related to EI are discussed with recent advancements from vulnerability analysis of AI system to differential privacy and to blockchain based security technology. To our knowledge, this is one of the first academic, peer-reviewed works to provide a systematic review of AI applications for EI research and initiatives in terms of big data analysis, intelligent decision-making and AI related cybersecurity These initiatives were systematically classified into different groups according to the field of application, methodology and contribution Afterwards, potential challenges, limitations for existing research and opportunities for future directions are discussed, ranging from emerging explainable AI, to localized multi-energy marketplaces, self-driving electric vehicle charging and e-mobility. This paper can help us understand how to build smart cities and critical infrastructure for a climate-changed world towards the UN’s sustainable development goals.

scholarly journals Simulation of energy consumption in urban areas

2020 ◽  
Vol 152 ◽  
pp. 02006
Author(s):  
Nikolay Garyaev
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Energy Consumption ◽  
Urban Areas ◽  
Energy Supply ◽  
Digital Data ◽  
Successful Implementation ◽  
Digital Models ◽  
Balanced Distribution ◽  
The Way

One of the problems that may arise in the way of successful implementation of energy supply in urban areas is the difficulty of analyzing and interpreting a large amount of digital data received from various sensors. This problem may adversely affect the performance of energy organizations. The purpose of this study is to study modern tools to solve the problem of processing big data using technologies of simulation and artificial intelligence. This study is dedicated to the development of innovative digital models for the balanced distribution of energy consumption in urban areas.

Big data in evolving energy supply chains

2016 ◽  
Author(s):  
Juha P. Lahti ◽  
Petri Helo ◽  
Ahm Shamsuzzoha ◽  
Kongkiti Phusavat
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
Energy Supply

Immunization-based redundancy elimination in Mobile Opportunistic Networks-Generated big data

2018 ◽  
Vol 79 ◽  
pp. 920-927 ◽  
Author(s):  
Junbao Zhang ◽  
Haojun Huang ◽  
Yan Luo ◽  
Yinting Fan ◽  
Guan Yang
Keyword(s):  
Big Data ◽  
Opportunistic Networks ◽  
Redundancy Elimination ◽  
Mobile Opportunistic Networks

Analyzing the potential of mobile opportunistic networks for big data applications

IEEE Network ◽  
2015 ◽  
Vol 29 (5) ◽  
pp. 57-63 ◽  
Author(s):  
Shengling Wang ◽  
Xia Wang ◽  
Jianhui Huang ◽  
Rongfang Bie ◽  
Xiuzhen Cheng
Keyword(s):  
Big Data ◽  
Opportunistic Networks ◽  
Mobile Opportunistic Networks ◽  
Big Data Applications

scholarly journals AI-powered Energy Internet Towards Carbon Neutrality: Challenges and Opportunities

2021 ◽  
Author(s):  
Chaojie Li
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Analysis ◽  
Energy Supply ◽  
Big Data Analysis ◽  
Energy Industry ◽  
Energy Internet ◽  
Carbon Neutrality ◽  
Intelligent Decision Making ◽  
Intelligent Decision

From self-driving vehicles, voice recognition based virtual digital assistants, smart thermostats to recommendation systems, Artificial Intelligence (AI) is becoming a crucial part of the carbon neutral society that has drawn considerable interest from energy supply firms, startups, technology developers, financial institutions, national governments and the academic community. The emergence of AI initiates numerous opportunities to transform energy industry to AI-powered smart system which can revolutionize traditional approaches of creativity thinking, strategical operation, and solution seeking, especially for accelerating carbon neutrality of our society. This survey provides a comprehensive overview of fundamental principles that underpin applications of big data analysis in Energy Internet (EI), such as smart energy supply and consumption, smart health and Fintech. Next, we focus on intelligent decision-making for the energy industry and inform the state-of-the-art by thoroughly reviewing the literature. Subsequently, cybersecurity issues for AI system related to EI are discussed with recent advancements from vulnerability analysis of AI system to differential privacy and to blockchain based security technology. To our knowledge, this is one of the first academic, peer-reviewed works to provide a systematic review of AI applications for EI research and initiatives in terms of big data analysis, intelligent decision-making and AI related cybersecurity These initiatives were systematically classified into different groups according to the field of application, methodology and contribution Afterwards, potential challenges, limitations for existing research and opportunities for future directions are discussed, ranging from emerging explainable AI, to localized multi-energy marketplaces, self-driving electric vehicle charging and e-mobility. This paper can help us understand how to build smart cities and critical infrastructure for a climate-changed world towards the UN’s sustainable development goals.

Redox Reactions in Lipid Membranes as a Model for Primordial Energy-Conserving Systems

1997 ◽  
Vol 161 ◽  
pp. 437-442
Author(s):  
Salvatore Di Bernardo ◽  
Romana Fato ◽  
Giorgio Lenaz
Keyword(s):  
Experimental Evidence ◽  
Lipid Membranes ◽  
Energy Supply ◽  
Redox Reactions ◽  
Living Systems ◽  
Asymmetric Distribution ◽  
Conservation Of Energy ◽  
Asymmetrical Distribution ◽  
Energy Conserving ◽  
Living Organisms

AbstractOne of the peculiar aspects of living systems is the production and conservation of energy. This aspect is provided by specialized organelles, such as the mitochondria and chloroplasts, in developed living organisms. In primordial systems lacking specialized enzymatic complexes the energy supply was probably bound to the generation and maintenance of an asymmetric distribution of charged molecules in compartmentalized systems. On the basis of experimental evidence, we suggest that lipophilic quinones were involved in the generation of this asymmetrical distribution of charges through vectorial redox reactions across lipid membranes.

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