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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Forest Fire Detection Using New Routing Protocol.

Fahad Taha Al-Dhief1, Ravie Chandren Muniyandi2, Naseer Sabri3

  • 1Faculty of Engineering, School of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia.

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Summary
This summary is machine-generated.

This study introduces the LAR-Based Reliable Routing Protocol (LARRR) for Mobile Ad-Hoc Networks (MANETs) to improve forest fire detection efficiency. LARRR enhances network lifetime by optimizing data transmission and energy consumption.

Keywords:
forest fire detectionlar-based reliable routing protocollocation-aided routingnode route busyness

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Area of Science:

  • Computer Science
  • Network Engineering
  • Environmental Monitoring

Background:

  • Mobile Ad-Hoc Networks (MANETs) are crucial for various applications.
  • Existing MANET routing protocols often suffer from inefficiency in data transmission and energy consumption, limiting network lifespan, especially for critical tasks like forest fire monitoring.

Purpose of the Study:

  • To develop an efficient routing protocol for MANETs specifically for forest fire detection.
  • To enhance network lifetime and reliability in forest fire monitoring scenarios.

Main Methods:

  • Development of the LAR-Based Reliable Routing Protocol (LARRR).
  • LARRR utilizes route length, temperature sensing, and node buffer status (route busyness) for routing decisions.
  • Performance evaluation using Packet Delivery Ratio (PDR), Energy Consumption (EC), End-to-End Delay (E2E Delay), and Routing Overhead (RO).

Main Results:

  • The LARRR protocol achieved a 70% Packet Delivery Ratio (PDR).
  • Energy Consumption (EC) was recorded at 403 joules.
  • End-to-End Delay (E2E Delay) averaged 2.733 seconds, with Routing Overhead (RO) at 43.04.
  • Simulations indicated superior performance compared to existing protocols.

Conclusions:

  • The proposed LARRR protocol demonstrates efficient forest fire detection capabilities in MANETs.
  • LARRR offers improved performance metrics, including PDR, EC, E2E Delay, and RO, making it suitable for forest fire monitoring.