| Description |
1 online resource (193 p.) |
| Contents |
Intro -- Table of Contents -- Acknowledgements -- Preface -- Introductory note -- Chapter One -- 1.1. Introduction -- 1.2. Overall structure of sensor networks -- 1.3. Node structure -- 1.4. Protocol stack -- 1.5. Wireless sensor network applications -- 1.6. Conclusion -- Chapter Two -- 2.1. Introduction -- 2.2. Simulator architecture -- 2.3. Main features of the network simulator -- 2.4. Simulation tools -- 2.4.1. NS-2 -- 2.4.2. OMNeT++ -- 2.4.3. J-Sim -- 2.4.4. NCTUns -- 2.4.5. GloMoSim -- 2.4.6. SSFNet -- 2.4.7. Ptolemy II -- 2.4.8. Prowler -- 2.4.9. TOSSIM -- 2.4.10. OPNET |
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2.4.11. WSN Localization Simulator -- 2.4.12. Mannasim -- 2.4.13. SensorSim -- 2.4.14. SENSE -- 2.4.15. MATLAB/Simulink -- 2.5. Conclusion -- Chapter Three -- 3.1. Introduction -- 3.2. SmokeNet -- 3.3. FINDER -- 3.4. Automatic fire alarm system based on wireless sensor networks -- 3.5. Embedded neural network for fire classification -- 3.6. Some hardware devices of fire detection systems -- 3.6.1. Temperature sensor -- 3.6.2. Humidity sensor -- 3.6.3. Light intensity sensor -- 3.6.4. Wireless transceiver -- 3.7. Conclusion -- Chapter Four -- 4.1. Introduction -- 4.2. Classical logic |
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4.3. Fuzzy logic -- 4.4. Conclusion -- Chapter Five -- 5.1. Introduction -- 5.2. System architecture -- 5.2.1. Overall view -- 5.2.2. Types of environments -- 5.2.2.1. Closed environment -- 5.2.2.2. Open environment -- 5.2.2.3. Data transmission process -- 5.2.3. Identification of system elements -- 5.3. Packet format -- 5.4. The state of sensor nodes -- 5.4.1. Determination of the active and passive states -- 5.4.2. Evaluation results -- 5.4.2.1. Effect of initial energy on results -- 5.4.2.2. Effect of data generation rate on results -- 5.5. 3D fuzzy routing protocols |
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5.5.1. Static 3D fuzzy routing protocols -- 5.5.1.1. Data transmission with static protocols -- 5.5.1.2. Performance evaluation -- 5.5.1.2.1. Effect of data generation rate on static protocols -- 5.5.1.2.2. Effect of buffer size on static protocols -- 5.5.1.2.3. Effect of initial energy of nodes on static protocols -- 5.5.1.2.4. Node energy consumption -- 5.5.1.2.5. The number of live nodes -- 5.5.1.2.6. Percentage of occupied buffer -- 5.5.2. Static 3D fuzzy hybrid routing protocol -- 5.5.3. Dynamic 3D fuzzy routing protocols -- 5.5.3.1. Data transmission with dynamic protocols |
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5.5.3.2. Performance evaluation -- 5.5.3.2.1. Effect of data generation rate on dynamic protocols -- 5.5.3.2.2. Effect of buffer size on dynamic protocols -- 5.5.3.2.3. Effect of initial energy of nodes on dynamic protocols -- 5.5.3.2.4. Node energy consumption -- 5.5.3.2.5. The number of live nodes -- 5.5.3.2.6. Percentage of occupied buffer -- 5.5.4. Dynamic 3D fuzzy hybrid routing protocol -- 5.6. Data aggregation methods -- 5.6.1. Individual data aggregation -- 5.6.2. Improved individual data aggregation -- 5.6.3. Concise data aggregation |
| Summary |
This book introduces a smart fire detection system designed using a wireless sensor network and fuzzy methods. This system predicts, controls, and provides alerts to various events based on intelligent techniques. Routing protocols are performed based on intelligent procedures in which they are classified into two main groups: static and dynamic. Static protocols are used to transmit data packets between stationary nodes, while dynamic protocols are applied to transmit messages between rescue teams and fire departments. The active and passive states are specified for sensor nodes to balance th |
| Notes |
Description based upon print version of record |
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5.7. Classification and detection of fires in events |
| Subject |
Fire detectors -- Technological innovations
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Wireless sensor networks.
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Artificial intelligence.
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Computer networking & communications.
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Fire protection & safety.
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Wireless sensor networks
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| Form |
Electronic book
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| ISBN |
1527559912 |
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9781527559912 |
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