Minimizing thin film thickness in TiN coatings using genetic algorithms

Jarrah, Muath; Jaya, A.; Azam, Mohd Asyadi; Muhamad, Mohd Razali; Akbar, Habibullah

doi:10.1063/1.5055463

Cited by 4 publications

(1 citation statement)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The objective function in the context of wireless communication can vary significantly depending on the specific goals of the system. When optimizing the objective function, there are several common optimization algorithms used in wireless communication, such as particle swarm optimization (Lee et al, 2023), genetic algorithm (Jarrah et al, 2018) and Lagrangian methods (Ravi et al, 2019). In this research, we employ the latest optimization algorithm known as the Killer Whale Algorithm (KWA) (Biyanto et al, 2017) which aims to reduce delay and optimize latency in data transmission between NB-IoT devices.…”

Section: Objective Functionmentioning

confidence: 99%

Optimization of Delay Using Killer Whale Algorithm (KWA) on NB-IoT

Hadi,

Widodo,

Firmansyah

et al. 2023

SinkrOn

View full text Add to dashboard Cite

NB-IoT is designed to connect IoT devices with low-power, wide-area coverage and efficient costs. Ensuring optimal data transmission delay is a challenge in NB-IoT implementation. Inadequate coverage can hinder IoT adoption. Optimization balances energy saving and delay trade-off. The Killer Whale Algorithm (KWA) optimizes delay by adjusting repetition variables. KWA addresses dimensions, variable limits. Applying KWA in NB-IoT optimizes transmission, enhancing QoS. Optimizing delay involves reducing latency in uplink data transmission using repetition variables. This study applies KWA to optimize NB-IoT delay. Analysis in Table 4 shows non-linear repetition-distance correlation. Interestingly, delay outcomes exhibit a contrasting relationship. Still, delay remains advantageous, remaining under 1 second even at 10 km, specifically 9.2674 ms (0.0092674 seconds). This thesis aims to optimize delay in NB-IoT network transmission using the Killer Whale Algorithm (KWA), crucial for modern communication networks and IoT applications. Leveraging KWA, the research identifies solutions to reduce transmission delay, enhancing efficiency and meeting IoT communication demands for speed and timeliness

show abstract