Original scientific paper
https://doi.org/10.24138/jcomss-2024-0118
A D2D Based Captious Communication Architecture for Automatic Emergency Response and Disaster Management
Sambi Reddy Gottam
orcid.org/0009-0005-6251-8512
; VIT-AP University, Amaravathi, India
*
Udit Narayana Kar
orcid.org/0000-0003-4254-3866
; VIT-AP University, Amaravathi, India
* Corresponding author.
Abstract
Safety of the public To provide the best possible applications and solutions for disaster management, network communication technologies must crossover to the next generation of architecture. Even in the event of a disaster-related partial malfunction of the cellular architecture, the fifth-generation (5G) architecture is set to have a guaranteed network connection. This paper develops an automatic emergency response and disaster management (AER-DM) system that uses D2D communication technologies in fifth-generation networks to facilitate postdisaster communication. By passing the need for relay through a network design, it enables direct communication between nearby devices. A crucial D2D network is created when mobile nodes (MNs) under the compromised base station move to D2D communication mode if there is no cellular access. Through a nearby Wi- Fi network or base station, the MNs in the disaster area can establish an active network. Unlike many prior works, this model considers practical wireless channel impairments such as fading and interference, making it suitable for real-world disaster scenarios.To increase the data rate,energy efficiency of individual nodes and the overall network lifetime, a multihop D2D communication associated with the adaptive partial reinforcement optimizer (APRO) is considered. The number of active participating nodes is then reduced by clustering, and the number of packets in the network is reduced via data aggregation. The proposed method is implemented in MATLAB, and the performance is evaluated via performance measures. Additionally, it is compared with conventional techniques.
Keywords
automatic emergency response; device-to-device communication; mobile nodes; disaster management; partial reinforcement optimizer
Hrčak ID:
336745
URI
Publication date:
24.7.2025.
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