Communication in Black Spot Using LoRa Technology

The Communication in Black Spot Using LoRa Technology simulation project aims to create a reliable, low-power communication model for data transmission in areas with limited or no network connectivity. Leveraging LoRa (Long Range) technology, known for its long-range, low-bandwidth, and energy-efficient capabilities, this work focuses on enhancing data communication in critical situations where traditional networks fail, such as remote areas and emergency response zones. Through a Python-based simulation, this work models LoRa nodes, gateways, and a central server to evaluate data transmission over extended distances. Key metrics such as transmission range, power consumption, packet reliability, and message latency are assessed to determine LoRa's effectiveness in black spots. The simulation tests the communication range and reliability between nodes and gateways, examining how distance and environmental factors impact performance. Additionally, it investigates LoRa?s power efficiency, making it suitable for battery-powered devices in remote monitoring systems. Results from this project provide insights into LoRa?s potential as a sustainable communication solution for emergency services and remote data collection, highlighting its role in enhancing community resilience and safety in underserved regions. This simulation thus contributes valuable data to the study of IoT-based communication in challenging connectivity environments, supporting future developments in disaster management and remote area networking.

Authors

Publication Details

Journal
Kaav International Journal of Science Engineering & Technology A Peer Review Quarterly Journal
Published
2025-04-01
DOI
https://doi.org/10.52458/23485477.2025.v12.iss2.kp.a2
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
0.00
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article

Communication in Black Spot Using LoRa Technology

Anoop Chauhan, Dushyant Singh
Kaav International Journal of Science Engineering & Technology A Peer Review Quarterly Journal
IoT Networks and Protocols
article

Communication in Black Spot Using LoRa Technology

Anoop Chauhan, Dushyant Singh
article en

Abstract

The Communication in Black Spot Using LoRa Technology simulation project aims to create a reliable, low-power communication model for data transmission in areas with limited or no network connectivity. Leveraging LoRa (Long Range) technology, known for its long-range, low-bandwidth, and energy-efficient capabilities, this work focuses on enhancing data communication in critical situations where traditional networks fail, such as remote areas and emergency response zones. Through a Python-based simulation, this work models LoRa nodes, gateways, and a central server to evaluate data transmission over extended distances. Key metrics such as transmission range, power consumption, packet reliability, and message latency are assessed to determine LoRa's effectiveness in black spots. The simulation tests the communication range and reliability between nodes and gateways, examining how distance and environmental factors impact performance. Additionally, it investigates LoRa?s power efficiency, making it suitable for battery-powered devices in remote monitoring systems. Results from this project provide insights into LoRa?s potential as a sustainable communication solution for emergency services and remote data collection, highlighting its role in enhancing community resilience and safety in underserved regions. This simulation thus contributes valuable data to the study of IoT-based communication in challenging connectivity environments, supporting future developments in disaster management and remote area networking.

Kaav International Journal of Science Engineering & Technology A Peer Review Quarterly Journal
Climate action
Openalex Percentile: Top 88%
IoT Networks and Protocols
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