M A N SUR L . PA N A L ANGIN
Integration of Hybrid
Network on IoT-Based
Flood Early Warning
Systems:
A Proposal
Introduction
BACKGROUND:
Flooding is a frequent and devastating natural disaster causing loss of life, infrastructure damage, and
socio-economic disruptions.
Climate change and rapid urbanization are increasing the frequency and intensity of flood events.
Early Warning Systems (EWS): EWS integrate hazard monitoring, forecasting, disaster risk assessment,
communication, and preparedness to reduce disaster risks before hazardous events.
Importance of EWS: Crucial for monitoring flood conditions, predicting disasters, and disseminating
timely warnings to mitigate impacts on vulnerable communities.
Challenges in EWS: Persistent issues in communication networks, data acquisition, and scalability
despite technological advancements.
CHALLENGES IN EARLY
WARNING SYSTEMS
Emerging Technologies: Real-time data collection,
improved prediction accuracy, and automated alerts
transform flood monitoring systems.
Key Issues in IoT-based Systems: Challenges include
sensor integration, communication protocol issues,
latency, and inconsistent data flow.
Gaps in existing research
1.Limited Coverage in Remote Areas
2.Vulnerability to Failures
3.Communication Outages
4.Bandwidth and Latency Issues
5.Scalability Challenges
6.Technology Integration
Focus of this
Research
Proposal
Address the challenges In the
communication layer of IoT-based
flood early warning systems,
particularly the Single-layer
systems that fail during extreme
weather or infrastructure damage
which limit coverage in remote
areas.
Research Objectives:
This paper is conducted to:
• develop a hybrid communication framework that
combines GSM and LoRa to address coverage
limitations and ensure uninterrupted data
transmission in disaster-prone and remote areas; And
• assess the system regarding information, system, and
service quality.
Research Questions
1.
How can a communication framework combining GSM and LoRa
be designed to address coverage limitations in hybrid disasterprone and remote areas effectively?
2.
What are the technical challenges and trade-offs in integrating
GSM and LoRa communication technologies for seamless and
reliable data transmission?
3.
How does the hybrid communication system perform regarding
information quality?
4.
What are the key factors influencing the system quality of the
hybrid communication framework?
5.
How do stakeholders perceive the service quality of the hybrid
system in terms of accessibility, usability, and responsiveness
during disaster situations?
Methodology
To develop the hybrid network combining GSM and
LoRa, the Design Science Research Methodology
(DSRM) will be followed.
It is a structured approach widely used in information
systems and technology-related research to create and
evaluate artifacts that address real-world problems.
DSRM Core Steps
DSRM consists of six core steps:
1.Problem identification and motivation
2.Defining the objectives of the solution
3.Design and development of the artifact
4.Demonstration of the artifact in a relevant
environment
5.Evaluation against pre-defined objectives and
6.Communication of the results
Initial System Architecture
To provide evaluation:
Delone and Mclean's (D&M) Information Systems (IS) Success Model, first introduced in 1992 and
updated in 2003, will be used.
Initially, these steps will provide the information on:
a)
b)
c)
d)
e)
f)
Information Quality: Accuracy and timeliness of data transmitted via GSM and LoRa.
System Quality: Scalability for disaster-prone areas, reliability in adverse conditions.
Service Quality: Responsively providing alerts and availability during network outages.
Use: The frequency and extent of stakeholders' system usage.
User Satisfaction: Feedback from disaster management personnel and community leaders.
Net Benefits: Improvements in disaster response times and coverage in remote areas.