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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume: 3 | Issue: 4 | May-Jun 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 - 6470
@ IJTSRD | Unique Paper ID – IJTSRD25139 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1332
Monitoring of Forest Fire Detection System using ZigBee
Sakawah Hlaing, Soe Nay Lynn Aung
Department of Electronic Engineering, Mandalay Technological University, Mandalay, Myanmar
How to cite this paper: Sakawah Hlaing
| Soe Nay Lynn Aung "Monitoring of
Forest Fire Detection System using
ZigBee" Published in International
Journal of Trend in Scientific Research
and Development
(ijtsrd), ISSN: 2456-
6470, Volume-3 |
Issue-4, June 2019,
pp.1332-1335,URL:
https://www.ijtsrd.
com/papers/ijtsrd2
5139.pdf
Copyright © 2019 by author(s) and
International Journal of Trend in
Scientific Research and Development
Journal. This is an Open Access article
distributed under
the terms of the
Creative Commons
Attribution License (CC BY 4.0)
(http://creativecommons.org/licenses/
by/4.0)
ABSTRACT
A large number of valuable forests are destroyed in every second caused by fire
around the world. As a result of insufficient information of firefightingcannotbe
provided in time to the occurrence of fire places. Therefore, the lives of people,
animals and valuable forest have been lost for wild fire. This proposed systemis
designed by using sensors nodes and empowering them to communicate with
each other through wireless technologies. The system mainly consists of three
parts: detecting part, monitoring part and wireless sensor network part. The
detecting part was devised using Simulated Sensor Program. Temperature
sensor (LM35), humidity sensor (DHT-11) and gas sensor (MQ2) detect the
occurrence of forest fire. The monitoring partisintegrated withLCDdisplay.The
ZigBee protocol is utilized for the wireless sensor network communication.
Keywords: Arduino, Gas Sensor, Humidity Sensor, Temperature Sensor,
ZigBee wireless communication
I. INTRODUCTION
Nowadays, many natural disasters have been caused in various way all over
the world. Forest fire are one of the most important disasters and they can
create a great deal of environmental impacts due to which their early detection
is very vital. As the number of causing forest fire is rapidly increased in the
world, the number of fire accident also increased that is huge problem for the
world.
Most of people, animals are died because firefighting or fire
prevention cannot be provided in time and forest fire
information cannot be provided the emergency facilities to
the fire department as soon as possible. This proposed
system was constructed with sensors (temperature,
humidity and gas). They detect the forestconditionand send
the signal to the main station and report information. In this
proposed system, there are three nodes (node1, node2 and
main node). Each node has temperature sensor (LM35),
humidity sensor (DHT-11) and gas sensor (MQ2) along with
the Arduino and ZigBee wireless module. ZigBee wireless
module is used to communicate with other nodes and send
and receive data. In this work, program will bedeveloped on
Arduino Mega board using the Arduino IDE software. For
this system, ZigBee is a suitable technology to be adopted as
the communication infrastructure in fire detection and
monitoring system. In this way, many people and animals of
lives can be saved.
II. LITERATURE REVIEW
Some of the previous important literatures that have been
studied are discussed below. P:SJadhav, V:U. Deshmukh,
2012 proposed Forest Fire Monitoring System Based on
ZigBee Wireless Sensor Network [1]. The purpose of this
system aims at using for habit monitoring automation,
agriculture and security and it consists monitoring nodes
base stations, communication systems, internet access and
the structure of monitoring hardware and software system.
The author better has designed based on WSN protocol
includes sensors such as temperature, smoke, humidity
along with the processor LPC2138and ZigBeeas aRF device.
In this system, the processor module controls the operation
of the sensor nodes, stores and processes the collected data.
Wireless communication module communicates with other
nodes, exchanges control information and sendsand receive
data. The power modular provides the energy to the sensor
module, processing module and wireless communication
module.
U. Arun Ganesh, M. Anand, S. Arun, M. Dinesh, P. Gunaseelan
and R. Karthik 2013 proposed Forest Fire Detection Using
Optimized Solar- Powered ZigBeeWirelessSensorNetworks
[5]. This system consists of two part the monitoring area
module part and the forest area module part. The hardware
includes sensor’s module, serial communication module
using ZigBee, Optimized solar energy harvester using
maximum power point tracking (MPPT).
Wireless Sensor Network Technology was used to detect
forest fires and send the information to computer in the
Monitoring centres. The collected data will be analysed and
managed by the computer.
Harjinder, 2016 presented Forest Fire Detection using
Wireless Sensor [3]. This paper highlights the powerful
feature of wireless sensors for forest fire detection. The
sensor data is collected using Arduino development board
and transmitted to base station wirelessly. Also an alert is
send using GSM module.
IJTSRD25139
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD25139 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1333
The main components of the system are GSM (GlobalSystem
for Mobile Communication), DHT-11(Digital Temperature
Humidity Sensor), Smoke Sensor, WSN (Wireless Sensor
Network).
The system proposed solution presents the prototype for
early forest fire detection in which an alert is send to base
station via SMS (Short Message Service) and call using GSM
module when the temperature exceeds the threshold value.
All previous research works used GSM modem to inform the
danger condition of the forest to the forest department. In
this system ZigBee module is used to perform as a serial
communication between two nodes so that information of
forest fire can be send easily. Usingthisproposedsystem can
save many people and animals of lives and valuable forest.
III. BLOCK DIAGRAM OF THE SYSTEM
AND COMPONENTS
Block diagram of overall system is shown in Figure 1. This
system incorporates Arduino Mega, temperature sensor,
humidity sensor, gas sensor and ZigBee module.
Fig.1. Block diagram of overall system
This paper is concerned with a practical model of a forest
fire detection and monitoring system, which can do
firefighting or fire prevention. Actually this system consists
of three nodes. In node1, the detection of fire accident is
through temperature, humidity and gas sensor. These
sensors continuously sense for fire parameters in the forest
and send the sensor values to node2 by using ZigBee
wireless communication module. In node2, it can work two
things that are transmitter and receiver. Firstly, it receive
sensor values from node1. Secondly, read sensor values on
node 2 and transmit the sensor values from node1 and node
2 to main station. In main node, read sensor values on this
node, receive sensor values from node2 and display on LCD.
A. ZigBee Module
ZigBee is wireless network protocolspecificallydesigned for
low data rate sensors and control networks. ZigBee is a
group of software, hardware and service companies that
have developeda commonstandard forwireless,networking
of sensors and controllers. While other wireless standards
are concerned with exchanging large amounts of data,
ZigBee is for devices that have smaller throughout needs.
The other driving factors are low cost, high security, low
battery usage, simplicity and interoperability with other
ZigBee devices. In this research, the XCore2530 ZigBee
module is used. XCore2530 is a ZigBee module based on
CC2530F256. Combined with our Coordinator/Router
firmware, the XCore2530 allowstransparenttransmission of
UART data, just as easy to use any UART module.
Fig.2. XCore2530 ZigBee module
B. Arduino Mega
The Arduino Mega 2560 is a microcontroller board based on
the ATmega2560. It has 54 digital input/output pins (of
which 14 can be used as PWM outputs), 16 analog, 4 UARTs
(hardware serial ports), a 16MHz crystal oscillator, a USB
connection, a power jack, an ICSP header, and aresetbutton.
It contains everything needed to support the
microcontroller, simply connect it to a computer with a USB
cable or power it with AC-to-DC adapter or battery to get
started. The Mega is compatible with most shields designed
for the Arduino Duemilanove or Diecimila.
Fig.3. Arduino Mega
C. Temperature Sensor (LM35)
One of the important phenomenon that usually accompany
forest fire is the increase in the temperature. The increasein
the temperature may be because of fire in theforest. LM35 is
used to detect the temperature. An increase in the
temperature than normaltemperaturecangiveusindication
of forest fire. LM35 can be used to detect temperature in the
range of 0-150 degree Celsius.
Fig.4. Temperature
D. Sensor D. Humidity Sensor
Humidity is a very important feature in detecting a fire.
Relative humidity is the percentage ratio of actual water
vapour contain to the amount of water vapour that would
saturate the atmosphere at the same temperature. If the
humidity is low in environment, fuels normally transfers its
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD25139 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1334
moisturetotheatmosphere andbecomesflammable.Sudden
decrease in humidity indicates that the fire alerts. The DHT-
11 sensor can be used to detect humidity in the range of 20-
90% RH with the accuracy of ±5%RH. DHT-11 uses resistive
type humidity measurement component.
Fig.5. Humidity Sensor
E. Gas and Smoke Sensor
One of the main characteristics of fire is the smoke. Thus
smoke sensors can play a vital role in detecting fire in the
forest. Various types of smoke sensors are available in the
market. Depending upon the availability and cost factor of
sensors the smoke sensor used in this project is MQ2 sensor
which is sensitive for methane, butane and LPG. The sensor
is also sensitive for flammable and combustible gases. The
principle of MQ2 sensor is that when gas interacts with the
sensor it is first ionized into its constituents and is then
absorbed by sensing element. This absorption creates
potential difference on the element which is conveyedtothe
processor unit through output pin in the form of current.
Fig.6. Gas Sensor
IV. DEVELOPMENT OF SYSTEM
The system flow chart shown in Fig represents the
sequenced processes and steps taken to carry out specific
action with the application. Firstly, system initialize serial is
38400bps. When the system was started, the values of
parameters (such as temperature, humidity, and gas) are
read on node1. And then, these values that detect the
condition of forest are transmitted to node2 start with *
character by using the ZigBee module. In node2, the sensor
values that comes from node1 are checked whether its start
was * character. If it was, collect sensor values from node1.
If not, read sensor values from node1 again and again.
Sensors values is also read on node2. After that, the sensor
values from node1 and node2 are transmitted to main node
start with $ character. In also node3, the sensors values are
read on main node and display on LCD. And then, the data
that come from node2 are checked start with $ character. If
so, collect data from node2 and display on LCD
Fig.7. System Flow Chart
V. EXPERIMENTAL TEST AND RESULT
The construction of sensing node1 is shown in Figure 8.The
main components of this circuit are ARDUINO, temperature
(LM35), humidity (DHT-11) and gas (MQ2) and ZigBee
module. The power supplyofthefollowingcircuitissupplied
by 12V battery. In this system Arduino Mega was used as a
controller to all modules. Arduino Mega has 54 digital
input/output pins. A2 pin of Arduino is connected to LM35
and pin4 is connected to DHT-11. A0 pin of Arduino is
connected to MQ2.The sensing node2 and main node is the
same as the node1 as shown in Figure 9 and Figure 10.
Fig.8. Sensor Node1
Fig. 9. Sensor Node2
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD25139 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1335
Fig.10. Main Node
VI. CONCLUSIONS
This system consists of fire detection and monitoring using
ZigBee wireless communication technology. Wireless
communication is a cheap and easy way to provide network
communication at places where there is no wired
infrastructure. In this design, ZigBee provides low power
consumption, simple wireless communication to send the
values of fire parameters for maximum coverage area.
Because of the flexibility of wireless system, this system is
very much compatible to any of system. This system will
make the world a much better and save the human and
animal lives in time.
VII. ACKNOWLEDGMENT
The author thanks to Soe Nay Lynn Aung, Associate
Professor, Department of Electronic and Communication
Engineering for kind permission to prepare for this paper,
for his close supervision, helpful advice, encouragementand
numerous invaluable guidance. Theauthor would alsothank
to all teachers and friends who willingly helped the author
throughout the preparation of the paper.
REFERENCES
[1] P.S.Jadhav, V.U Deshmukh “Forest Fire Monitoring
System Based on ZigBee Wireless Sensor Networks”,PG
Student, Assistant Professor, Vidya Pratishthans
Colleage of Engineering Baramati, Pune University.
[2] Junguo Zhang, Jiangming Kan, Wenbib Li “Forest fire
detection system based on ZigBee wireless sensor
network”, Beijing Forestry University, September2008.
[3] Harjinder “Forest Fire Detection using Wireless Sensor”
Department of Instrumentation and Control
Engineering, Graphic Era University, Dehrabdun, 2016.
[4] R. Niranjana “An Autonomous IoT Infrastructure for
Forest Fire Detection and Alerting System”, Department
of Computer Science and Engineering, PSNACET, 2018.
[5] U. Arun Ganesh, M. Anand, S.Arun, M.Dinesh, P.
Gunaseelan and R. Karthik “Forest Fire Detection Using
Optimized Solar-Powered Zigbee Wireless Sensor
Networks” , Bachelosr’s degree ogram in Electronic and
Communication Engineering.
[6] Ahmad AA Alkhatib “Wireless Sensor Network for
Forest Fire Detection and Decision Making”,
International Journal of Advances in Engineering
Science and Technology, www.sestindia.org/volume-
ijaest/ and www.ijaestonline.com.

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Monitoring of Forest Fire Detection System using ZigBee

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume: 3 | Issue: 4 | May-Jun 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 - 6470 @ IJTSRD | Unique Paper ID – IJTSRD25139 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1332 Monitoring of Forest Fire Detection System using ZigBee Sakawah Hlaing, Soe Nay Lynn Aung Department of Electronic Engineering, Mandalay Technological University, Mandalay, Myanmar How to cite this paper: Sakawah Hlaing | Soe Nay Lynn Aung "Monitoring of Forest Fire Detection System using ZigBee" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456- 6470, Volume-3 | Issue-4, June 2019, pp.1332-1335,URL: https://www.ijtsrd. com/papers/ijtsrd2 5139.pdf Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/ by/4.0) ABSTRACT A large number of valuable forests are destroyed in every second caused by fire around the world. As a result of insufficient information of firefightingcannotbe provided in time to the occurrence of fire places. Therefore, the lives of people, animals and valuable forest have been lost for wild fire. This proposed systemis designed by using sensors nodes and empowering them to communicate with each other through wireless technologies. The system mainly consists of three parts: detecting part, monitoring part and wireless sensor network part. The detecting part was devised using Simulated Sensor Program. Temperature sensor (LM35), humidity sensor (DHT-11) and gas sensor (MQ2) detect the occurrence of forest fire. The monitoring partisintegrated withLCDdisplay.The ZigBee protocol is utilized for the wireless sensor network communication. Keywords: Arduino, Gas Sensor, Humidity Sensor, Temperature Sensor, ZigBee wireless communication I. INTRODUCTION Nowadays, many natural disasters have been caused in various way all over the world. Forest fire are one of the most important disasters and they can create a great deal of environmental impacts due to which their early detection is very vital. As the number of causing forest fire is rapidly increased in the world, the number of fire accident also increased that is huge problem for the world. Most of people, animals are died because firefighting or fire prevention cannot be provided in time and forest fire information cannot be provided the emergency facilities to the fire department as soon as possible. This proposed system was constructed with sensors (temperature, humidity and gas). They detect the forestconditionand send the signal to the main station and report information. In this proposed system, there are three nodes (node1, node2 and main node). Each node has temperature sensor (LM35), humidity sensor (DHT-11) and gas sensor (MQ2) along with the Arduino and ZigBee wireless module. ZigBee wireless module is used to communicate with other nodes and send and receive data. In this work, program will bedeveloped on Arduino Mega board using the Arduino IDE software. For this system, ZigBee is a suitable technology to be adopted as the communication infrastructure in fire detection and monitoring system. In this way, many people and animals of lives can be saved. II. LITERATURE REVIEW Some of the previous important literatures that have been studied are discussed below. P:SJadhav, V:U. Deshmukh, 2012 proposed Forest Fire Monitoring System Based on ZigBee Wireless Sensor Network [1]. The purpose of this system aims at using for habit monitoring automation, agriculture and security and it consists monitoring nodes base stations, communication systems, internet access and the structure of monitoring hardware and software system. The author better has designed based on WSN protocol includes sensors such as temperature, smoke, humidity along with the processor LPC2138and ZigBeeas aRF device. In this system, the processor module controls the operation of the sensor nodes, stores and processes the collected data. Wireless communication module communicates with other nodes, exchanges control information and sendsand receive data. The power modular provides the energy to the sensor module, processing module and wireless communication module. U. Arun Ganesh, M. Anand, S. Arun, M. Dinesh, P. Gunaseelan and R. Karthik 2013 proposed Forest Fire Detection Using Optimized Solar- Powered ZigBeeWirelessSensorNetworks [5]. This system consists of two part the monitoring area module part and the forest area module part. The hardware includes sensor’s module, serial communication module using ZigBee, Optimized solar energy harvester using maximum power point tracking (MPPT). Wireless Sensor Network Technology was used to detect forest fires and send the information to computer in the Monitoring centres. The collected data will be analysed and managed by the computer. Harjinder, 2016 presented Forest Fire Detection using Wireless Sensor [3]. This paper highlights the powerful feature of wireless sensors for forest fire detection. The sensor data is collected using Arduino development board and transmitted to base station wirelessly. Also an alert is send using GSM module. IJTSRD25139
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD25139 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1333 The main components of the system are GSM (GlobalSystem for Mobile Communication), DHT-11(Digital Temperature Humidity Sensor), Smoke Sensor, WSN (Wireless Sensor Network). The system proposed solution presents the prototype for early forest fire detection in which an alert is send to base station via SMS (Short Message Service) and call using GSM module when the temperature exceeds the threshold value. All previous research works used GSM modem to inform the danger condition of the forest to the forest department. In this system ZigBee module is used to perform as a serial communication between two nodes so that information of forest fire can be send easily. Usingthisproposedsystem can save many people and animals of lives and valuable forest. III. BLOCK DIAGRAM OF THE SYSTEM AND COMPONENTS Block diagram of overall system is shown in Figure 1. This system incorporates Arduino Mega, temperature sensor, humidity sensor, gas sensor and ZigBee module. Fig.1. Block diagram of overall system This paper is concerned with a practical model of a forest fire detection and monitoring system, which can do firefighting or fire prevention. Actually this system consists of three nodes. In node1, the detection of fire accident is through temperature, humidity and gas sensor. These sensors continuously sense for fire parameters in the forest and send the sensor values to node2 by using ZigBee wireless communication module. In node2, it can work two things that are transmitter and receiver. Firstly, it receive sensor values from node1. Secondly, read sensor values on node 2 and transmit the sensor values from node1 and node 2 to main station. In main node, read sensor values on this node, receive sensor values from node2 and display on LCD. A. ZigBee Module ZigBee is wireless network protocolspecificallydesigned for low data rate sensors and control networks. ZigBee is a group of software, hardware and service companies that have developeda commonstandard forwireless,networking of sensors and controllers. While other wireless standards are concerned with exchanging large amounts of data, ZigBee is for devices that have smaller throughout needs. The other driving factors are low cost, high security, low battery usage, simplicity and interoperability with other ZigBee devices. In this research, the XCore2530 ZigBee module is used. XCore2530 is a ZigBee module based on CC2530F256. Combined with our Coordinator/Router firmware, the XCore2530 allowstransparenttransmission of UART data, just as easy to use any UART module. Fig.2. XCore2530 ZigBee module B. Arduino Mega The Arduino Mega 2560 is a microcontroller board based on the ATmega2560. It has 54 digital input/output pins (of which 14 can be used as PWM outputs), 16 analog, 4 UARTs (hardware serial ports), a 16MHz crystal oscillator, a USB connection, a power jack, an ICSP header, and aresetbutton. It contains everything needed to support the microcontroller, simply connect it to a computer with a USB cable or power it with AC-to-DC adapter or battery to get started. The Mega is compatible with most shields designed for the Arduino Duemilanove or Diecimila. Fig.3. Arduino Mega C. Temperature Sensor (LM35) One of the important phenomenon that usually accompany forest fire is the increase in the temperature. The increasein the temperature may be because of fire in theforest. LM35 is used to detect the temperature. An increase in the temperature than normaltemperaturecangiveusindication of forest fire. LM35 can be used to detect temperature in the range of 0-150 degree Celsius. Fig.4. Temperature D. Sensor D. Humidity Sensor Humidity is a very important feature in detecting a fire. Relative humidity is the percentage ratio of actual water vapour contain to the amount of water vapour that would saturate the atmosphere at the same temperature. If the humidity is low in environment, fuels normally transfers its
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD25139 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1334 moisturetotheatmosphere andbecomesflammable.Sudden decrease in humidity indicates that the fire alerts. The DHT- 11 sensor can be used to detect humidity in the range of 20- 90% RH with the accuracy of ±5%RH. DHT-11 uses resistive type humidity measurement component. Fig.5. Humidity Sensor E. Gas and Smoke Sensor One of the main characteristics of fire is the smoke. Thus smoke sensors can play a vital role in detecting fire in the forest. Various types of smoke sensors are available in the market. Depending upon the availability and cost factor of sensors the smoke sensor used in this project is MQ2 sensor which is sensitive for methane, butane and LPG. The sensor is also sensitive for flammable and combustible gases. The principle of MQ2 sensor is that when gas interacts with the sensor it is first ionized into its constituents and is then absorbed by sensing element. This absorption creates potential difference on the element which is conveyedtothe processor unit through output pin in the form of current. Fig.6. Gas Sensor IV. DEVELOPMENT OF SYSTEM The system flow chart shown in Fig represents the sequenced processes and steps taken to carry out specific action with the application. Firstly, system initialize serial is 38400bps. When the system was started, the values of parameters (such as temperature, humidity, and gas) are read on node1. And then, these values that detect the condition of forest are transmitted to node2 start with * character by using the ZigBee module. In node2, the sensor values that comes from node1 are checked whether its start was * character. If it was, collect sensor values from node1. If not, read sensor values from node1 again and again. Sensors values is also read on node2. After that, the sensor values from node1 and node2 are transmitted to main node start with $ character. In also node3, the sensors values are read on main node and display on LCD. And then, the data that come from node2 are checked start with $ character. If so, collect data from node2 and display on LCD Fig.7. System Flow Chart V. EXPERIMENTAL TEST AND RESULT The construction of sensing node1 is shown in Figure 8.The main components of this circuit are ARDUINO, temperature (LM35), humidity (DHT-11) and gas (MQ2) and ZigBee module. The power supplyofthefollowingcircuitissupplied by 12V battery. In this system Arduino Mega was used as a controller to all modules. Arduino Mega has 54 digital input/output pins. A2 pin of Arduino is connected to LM35 and pin4 is connected to DHT-11. A0 pin of Arduino is connected to MQ2.The sensing node2 and main node is the same as the node1 as shown in Figure 9 and Figure 10. Fig.8. Sensor Node1 Fig. 9. Sensor Node2
  • 4. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD25139 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1335 Fig.10. Main Node VI. CONCLUSIONS This system consists of fire detection and monitoring using ZigBee wireless communication technology. Wireless communication is a cheap and easy way to provide network communication at places where there is no wired infrastructure. In this design, ZigBee provides low power consumption, simple wireless communication to send the values of fire parameters for maximum coverage area. Because of the flexibility of wireless system, this system is very much compatible to any of system. This system will make the world a much better and save the human and animal lives in time. VII. ACKNOWLEDGMENT The author thanks to Soe Nay Lynn Aung, Associate Professor, Department of Electronic and Communication Engineering for kind permission to prepare for this paper, for his close supervision, helpful advice, encouragementand numerous invaluable guidance. Theauthor would alsothank to all teachers and friends who willingly helped the author throughout the preparation of the paper. REFERENCES [1] P.S.Jadhav, V.U Deshmukh “Forest Fire Monitoring System Based on ZigBee Wireless Sensor Networks”,PG Student, Assistant Professor, Vidya Pratishthans Colleage of Engineering Baramati, Pune University. [2] Junguo Zhang, Jiangming Kan, Wenbib Li “Forest fire detection system based on ZigBee wireless sensor network”, Beijing Forestry University, September2008. [3] Harjinder “Forest Fire Detection using Wireless Sensor” Department of Instrumentation and Control Engineering, Graphic Era University, Dehrabdun, 2016. [4] R. Niranjana “An Autonomous IoT Infrastructure for Forest Fire Detection and Alerting System”, Department of Computer Science and Engineering, PSNACET, 2018. [5] U. Arun Ganesh, M. Anand, S.Arun, M.Dinesh, P. Gunaseelan and R. Karthik “Forest Fire Detection Using Optimized Solar-Powered Zigbee Wireless Sensor Networks” , Bachelosr’s degree ogram in Electronic and Communication Engineering. [6] Ahmad AA Alkhatib “Wireless Sensor Network for Forest Fire Detection and Decision Making”, International Journal of Advances in Engineering Science and Technology, www.sestindia.org/volume- ijaest/ and www.ijaestonline.com.