Renewable energy for smart and sustainable cities :
[Book]
artificial intelligence in renewable energetic systems /
Mustapha Hatti, editor.
Cham, Switzerland :
Springer,
[2019]
1 online resource :
illustrations
Lecture notes in networks and systems ;
volume 62
Includes bibliographical references and index.
Intro; Short Preface; Short Biography; Contents; Artificial Intelligence; The Approach Used for Comfortable and High Efficient Buildings in Sustainable Cities by Different Actors; Abstract; 1 Introduction; 2 Problematic; 3 Methodological Approach; 4 Results and Discussion; 4.1 Advice of Certain Researchers on Questions Launched on (researchGate.net); 4.2 Interpretation of the Answers to Interviews Conducted with Some Actors of Buildings on the Performance of Their Projects and Environmental Approach Followed; 5 General Conclusion; References
6 Taxonomy of Security Mechanisms for 6LoWPAN Network6.1 Scenarios Under Consideration; 6.2 Classification; 6.2.1 The Security Mechanisms for Outside Communication in the 6LoWPAN Network; 6.2.2 The Security Mechanisms for Inside Communication in the 6LoWPAN Network; 6.3 End-to-End Security Protocols; 6.3.1 The Proposed Techniques for DTLS Protocol; 6.3.2 The Proposed Techniques for HIP Protocol; 6.3.3 The Proposed Techniques for IPsec/IKE Protocol; 6.4 Intrusion Detection Systems; 6.4.1 Routing Attacks; 6.4.2 DoS Attacks; 6.4.3 Other Attacks
Abstract1 Introduction; 1.1 Internet of Things; 1.2 Android; 1.3 Connected Bracelet; 1.4 Objectives of Connected Medical Bracelets; 2 Why Connected Bracelet; 3 System Components; 3.1 Central Module; 3.2 Detection Modules; 4 System Architecture; 5 Test and Result; 6 Conclusion; References; Security Mechanisms for 6LoWPAN Network in Context of Internet of Things: A Survey; Abstract; 1 Introduction; 2 6LoWPAN Network Overview; 3 Related Surveys and Our Positioning; 4 Security Requirements for 6LoWPAN Network; 5 Challenges and Limits in the Usage of Classic Security Mechanisms
ESMRsc: Energy Aware and Stable Multipath Routing Protocol for Ad Hoc Networks in Smart CityAbstract; 1 Introduction; 2 Multipath Energy-Aware and Stable Routing Protocols; 3 Energy Aware and Stable Multipath Routing Protocol in Smart City; 3.1 Multipath Routing Selection; 3.1.1 Energy Aware Cost Function; 3.1.2 Link Stability Aware Cost Function; 3.1.3 Objective Problem Formulation; 4 Performance Evaluation of ESMRsc; 4.1 Mobility Model; 4.2 Performance Parameters; 4.3 Performance Evaluation; 5 Conclusion; References; Development of a Connected Bracelet Managed by an Android Application
Multi-agent Approach to Analysis Data from Social Media for Building Smart CitiesAbstract; 1 Introduction; 2 Related Works; 3 Proposed Model for Social Big Data and Smart Cities; 4 Experimentation and Results; 5 Conclusion and Future Works; References; Parametrically Generated Building Designed in an Artificially Intelligent Environment; Abstract; 1 Introduction; 2 The Philosophy of AI and Architecture; 3 Method; 3.1 The Analysis Phase; 3.2 The Sketching Phase; 3.3 The Synthesis Phase; 4 Results; 5 Conclusion; References
0
8
8
8
8
This book features cutting-edge research presented at the second international conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2018, held on 24-26 November 2018, at the High School of Commerce, ESC-Koléa in Tipaza, Algeria. Today, the fundamental challenge of integrating renewable energies into the design of smart cities is more relevant than ever. While based on the advent of big data and the use of information and communication technologies, smart cities must now respond to cross-cutting issues involving urban development, energy and environmental constraints; further, these cities must also explore how they can integrate more sustainable energies. Sustainable energies are a major determinant of smart cities' longevity. From an environmental and technological standpoint, these energies offer an optimal power supply to the electric network while creating significantly less pollution. This requires flexibility, i.e., the availability of supply and demand. The end goal of any smart city is to improve the quality of life for all citizens (both in the city and in the countryside) in a way that is sustainable and respectful of the environment. This book encourages the reader to engage in the preservation of our environment, every moment, every day, so as to help build a clean and healthy future, and to think of the future generations who will one day inherit our planet. Further, it equips those whose work involves energy systems and those engaged in modelling artificial intelligence to combine their expertise for the benefit of the scientific community and humanity as a whole.
Springer Nature
com.springer.onix.9783030047894
9783030047887
9783030047900
Artificial intelligence.
Clean energy industries.
Computational intelligence.
Renewable energy sources.
Alternative & renewable energy sources & technology.