The fundamentals and empirical design of a smart fire detection system / by Mohammad Samadi Gharajeh.

Format:

Book

Author/Creator:

Gharajeh, Mohammad Samadi, author.

Language:

English

Subjects (All):

Fire detectors.

Physical Description:

1 online resource (xvii, 174 pages) : illustrations

Edition:

1st ed.

Place of Publication:

Newcastle upon Tyne, England : Cambridge Scholars Publishing, [2020]

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 the remaining energy of the nodes and prolong the network lifetime. The probability of explosion, fire, burn, and suffocation is determined based on fuzzy procedures. People affected can be guided to the exit at event places based on an intelligent method. In addition, members and dispatch routes of rescue and support teams are selected using intelligent methods to reduce financial losses and human casualties. The book will be useful for professors, researchers, and engineers in computer and electrical engineering.

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

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

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

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

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

5.7. Classification and detection of fires in events

5.8. Details of rescue teams in fire departments

5.9. Event detection

5.9.1. Fuzzy decision making in event detection

5.9.2. Performance evaluation of event detection methods

5.9.2.1. Performance evaluation of the fire probability

5.9.2.1.1. Effect of data generation rate on fire results

5.9.2.1.2. Effect of initial energy on fire results

5.9.2.2. Performance evaluation of the suffocation probability

5.9.2.2.1. Effect of data generation rate on suffocation results

5.9.2.2.2. Effect of initial energy on suffocation results

5.9.2.3. Performance evaluation of the burn probability

5.9.2.3.1. Effect of data generation rate on burn results

5.9.2.3.2. Effect of initial energy on burn results

5.10. Evacuation and firefighting operations.

5.10.1. Indoor navigation

5.10.2. Firefighting operations

5.10.2.1. Calculation of fire volume

5.10.2.2. Calculation of fire progress

5.10.2.3. Selection of rescue teams

5.10.2.4. Determination of the number of rescue teams

5.10.2.5. Dispatch method of rescue teams

5.10.2.5.1. Intelligent dispatch method

5.10.2.5.2. Simulation results

5.11. Probability of node failure

5.12. Loss estimation of event detection and dispatch methods

5.12.1. Event message transmission

5.12.2. Dispatching rescue teams to the event place

5.12.3. Dispatching support teams to the event place

5.12.4. Message transmission between rescue teams and fire departments

5.12.5. Lack of necessary rescue teams at the event place

5.13. Conclusion

Chapter Six

6.1. Introduction

6.2. Sensor node

6.3. Sensor board

6.4. Sink installation

6.5. Base station installation

6.6. Application and database management system

6.7. Conclusion

Summary

List of Abbreviations

Appendix

List of Illustrations

List of Tables

Bibliography.

Notes:

Includes bibliographical references.

Description based on print version record.

Description based on publisher supplied metadata and other sources.

ISBN:

1-5275-5991-2

OCLC:

1204142961