TELKOMNIKA Telecommunication, Computing, Electronics and Control
Energy-aware wireless mesh network deployment using optimization mechanism
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Energy-aware wireless mesh network deployment using optimization mechanism
Energy-aware wireless mesh network deployment using optimization mechanism
Subject
Energy consumption
Energy-aware deployment
Optimization
Router placement
Wireless mesh network
Wireless network planning
Energy-aware deployment
Optimization
Router placement
Wireless mesh network
Wireless network planning
Description
Wireless mesh networks are widely used to create network infrastructure in rural ar-
eas due to their flexible properties, such as self-healing mechanisms and associated
redundant paths. For example, a wireless mesh network can suitably operate with
limited battery power in wildlife monitoring applications. The locations of mobile
routers to support mobile sensor nodes are essential for extending the system lifetime.
This study proposes an energy-aware wireless mesh network deployment optimiza-
tion mechanism. The goal is to determine a suitable location for the mesh routers
with the aim of maximizing network lifetime. After the location solution is obtained
from the proposed mechanism, it is then evaluated for system lifetime and network
performance by the network simulator (ns-3). The proposed method outperforms the
brute-force method in terms of computation time for all amounts of mesh clients. For
example, for 30 mesh clients, the proposed method uses only a few minutes, while
the brute-force mechanism requires more than 200 minutes to complete the process.
Furthermore, compared to the brute-force method, it achieves nearly the same system
lifetime and other performance parameters, such as throughput, packet delivery ratio,
and packet inter-arrival time. In the real implementation, in which the sensor node
placements can be changed during the installation period owing to the environmental
status or the recommendation of the installers, the results can be recalculated in a short
period.
eas due to their flexible properties, such as self-healing mechanisms and associated
redundant paths. For example, a wireless mesh network can suitably operate with
limited battery power in wildlife monitoring applications. The locations of mobile
routers to support mobile sensor nodes are essential for extending the system lifetime.
This study proposes an energy-aware wireless mesh network deployment optimiza-
tion mechanism. The goal is to determine a suitable location for the mesh routers
with the aim of maximizing network lifetime. After the location solution is obtained
from the proposed mechanism, it is then evaluated for system lifetime and network
performance by the network simulator (ns-3). The proposed method outperforms the
brute-force method in terms of computation time for all amounts of mesh clients. For
example, for 30 mesh clients, the proposed method uses only a few minutes, while
the brute-force mechanism requires more than 200 minutes to complete the process.
Furthermore, compared to the brute-force method, it achieves nearly the same system
lifetime and other performance parameters, such as throughput, packet delivery ratio,
and packet inter-arrival time. In the real implementation, in which the sensor node
placements can be changed during the installation period owing to the environmental
status or the recommendation of the installers, the results can be recalculated in a short
period.
Creator
Aphirak Jansang, Chayathorn Simasathien, Anan Phonphoem
Source
http://telkomnika.uad.ac.id
Date
Aug 10, 2022
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Aphirak Jansang, Chayathorn Simasathien, Anan Phonphoem, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Energy-aware wireless mesh network deployment using optimization mechanism,” Repository Horizon University Indonesia, accessed February 5, 2025, https://repository.horizon.ac.id/items/show/4405.
Energy-aware wireless mesh network deployment using optimization mechanism,” Repository Horizon University Indonesia, accessed February 5, 2025, https://repository.horizon.ac.id/items/show/4405.