Enablers for smart cities / / edited by Amal El Fallah Seghrouchni [and three others]

• Pubblicazione: Hoboken, New Jersey : , : Wiley, , 2016
• Descrizione fisica: 1 online resource (273 p.)
• Disciplina: 307.1416
• Soggetto topico: City planning; Cities and towns - Growth
• Persona (resp. second.): El Fallah SeghrouchniAmal
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover; Title Page; Copyright; Contents; Preface; Introduction; Biographies of the editors; Amal El Fallah Seghrouchni; Fuyuki Ishikawa; Laurent Hérault; Hideyuki Tokuda; Acknowledgments; Introduction; 1: Shared Wireless Sensor Networks as Enablers for a Context Management System in Smart Cities; 1.1. Introduction; 1.2. Background; 1.3. XAC middleware; 1.3.1. Architecture of XAC middleware; 1.4. Task-description language; 1.4.1. Existing solutions; 1.4.1.1. Data-level languages; 1.4.1.2. Group-level languages; 1.4.1.3. Node-level languages; 1.4.2. XAC middleware solutions ; 1.5. Runtime task management1.5.1. Existing solutions; 1.5.1.1. Task deployment management by the base station; 1.5.1.2. Self-adaptive task deployment management; 1.5.2. XAC middleware solutions; 1.5.2.1. Relocation of multiple components; 1.5.2.2. Dynamic components reconstruction; 1.6. Self-adaptation; 1.6.1. Existing solutions; 1.6.1.1. Self-adaptability to change inside the node; 1.6.1.2. Self-adaptability to change outside the node; 1.6.2. XAC middleware solutions; 1.6.2.1. Self-adaptive task management; 1.6.2.2. Self-adaptive communication management; 1.7. Discussion; 1.8. Conclusion ; 1.9 Bibliography2: Sensorizer: An Architecture for Regenerating Cyber-physical Data Streams from the Web; 2.1. Introduction; 2.2. Sensorizer architecture; 2.2.1. Sensing process of EWC; 2.2.2. Sensorizer architecture; 2.2.2.1. Browser extension; 2.2.2.2. Probe; 2.3. Implementation; 2.3.1. Sensorizer browser extension; 2.3.2. Probe; 2.3.3. Sensorizer/SoX API; 2.4. Case of sensorized smart cities; 2.5. Conclusion; 2.6. Bibliography; 3: Smart Agent Foundations: From Planning to Spatio-temporal Guidance; 3.1. Introduction; 3.2. Smart-campus: use case and scenario; 3.2.1. Smart-campus architecture ; 3.2.2. Scenario3.3. Description of the software architecture for a smart ambient agent; 3.4. Higher order agent model; 3.4.1. Application to the scenario; 3.5. Description of the concurrent planner based on AgLOTOS language; 3.5.1. Agent plan structure; 3.5.2. Syntax of AgLOTOS plans; 3.5.2.1. Agent plan level; 3.5.2.2. Intention plan level; 3.5.2.3. Elementary plan level; 3.5.3. Building of the agent plan from the intentions; 3.5.4. Planning state of the agent; 3.6. Contextual planning guidance; 3.6.1. Semantics of AgLOTOS plans; 3.6.1.1. Elementary plan level; 3.6.1.2. Intention plan level ; 3.6.1.3. Agent plan level3.6.2. Contextual planning system; 3.6.3. Application to the scenario; 3.7. Spatio-temporal guidance from past experiences; 3.7.1. Contextual planning architecture; 3.7.2. Learning actions from past experiences; 3.7.2.1. Data acquisition; 3.7.2.2. Data relevance strategies; 3.7.2.2.1. The forgetting strategy; 3.7.2.2.2. The time filtering strategy; 3.7.2.3. Computing the expected performance and expected duration for an action; 3.7.3. Spatio-temporal guidance; 3.7.3.1. Contextual planning system with Learning (CPS-L); 3.7.3.2. Optimal trace of the CPS-L ; 3.7.3.3. Exploration versus exploitation
• Titolo autorizzato: Enablers for smart cities
• ISBN: 1-119-32999-X; 1-119-32998-1; 1-119-32995-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910814297703321
• Lo trovi qui: Univ. Federico II
• Serie: Information systems, web and pervasive computing series.; THEi Wiley ebooks.