Enhanced system for ns2 trace file analysis with network performance evaluation

Alkenani, Jawad; Nassar, Khulood Ahmed

doi:10.52940/ijici.v1i2.22

Cited by 3 publications

(3 citation statements)

References 21 publications

(24 reference statements)

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“…The simulation of the cloudlet was performed using Network Simulator 2 (NS 2.35) (About NS2 v2.35,n.d.). We used NS 2.35 as it is a universally accepted simulator (Alkenani & Nassar, 2022). We did not use Version 3 because it needs to implement various factors, such as node grouping according to task affinity.…”

Section: Ns 2 Implementationmentioning

confidence: 99%

Custom Network Protocol Stack for Communication Between Nodes in a Cloudlet System

Kakade,

Anupama,

Nayak

et al. 2024

International Journal of Cloud Applications and Computing

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With the advent of internet of things (IoT), new network paradigms have emerged. One such technology is cloudlets. Cloudlets are being increasingly used in various IoT-based applications such as smart homes, smart cities, healthcare, and industrial automations. Cloudlets have an advantage of proximity to the end-device while offering services similar to the cloud. Existing cloudlets use IEEE 802.11 for communication between nodes. In this paper, the authors present a protocol customized for usage in cloudlets, which also considers various limitations of the node that constitute the cloudlet. The nodes on the cloudlet are generally constrained in terms of power and memory when compared to nodes on a cloud. The custom protocol also incorporates fault-tolerance, time synchronization, and factors such as task affinities for communication. The protocol proposed in this paper gave an excellent packet delivery ratio, the lowest being 91% even with increased bandwidth usage when compared to IEEE 802.11.

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Section: Ns 2 Implementationmentioning

confidence: 99%

Custom Network Protocol Stack for Communication Between Nodes in a Cloudlet System

Kakade,

Anupama,

Nayak

et al. 2024

International Journal of Cloud Applications and Computing

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“…Green Cloud Simulation extended the network simulation at the packet level known as NS2 in the work of (Alkenani & Nassar, 2022), (Clark et al, 2005).…”

Section: Simulation Toolmentioning

confidence: 99%

Empirical Comparison of Energy Efficiency Between 3-Tier and High-Speed 3-Tier Network Topologies

Alkoshman,

Atiewi

2023

International Journal of Cloud Applications and Computing

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The high levels of energy use for cloud computing affect carbon emissions and climate change. This research thoroughly compares the energy utilisation of conventional and high-speed three-tier data centres (DCs). The green cloud simulator (GCS) was used to compare network configurations and energy-saving algorithms for each cloud's energy consumption in 10 trials. The power saver schedule algorithm used the least server energy, while the green and RR schedule algorithms used more. Despite the testing of several energy conservation approaches, core switch and aggregate switch energy usage remained unchanged. Although the high-speed three-tier DC architecture used more energy than the standard design, this is a key difference between the two network topologies. The authors discuss the power saver schedule algorithm's benefits for server energy utilisation. This study shows how three-tier DC architecture can save money by reducing core switch and aggregation switch energy use. These evaluations should include the make span coefficient, and future research should focus on DC transform energy-saving techniques.

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“…To optimize energy consumption, energy-saving strategies are indispensable in all aspects of the design and operation of WSNs. In this regard, many routing protocols that offer lifetime enhancement have been developed for WSNs because a remarkable amount of energy is drained by communication [8]. The purpose of energy-aware routing methods is to reduce energy consumption in the whole network.…”

Section: Introductionmentioning

confidence: 99%

Lifetime Maximization Using Grey Wolf Optimization Routing Protocol with statistical Technique in WSNs

Khudor,

Hussein,

Kheerallah

et al. 2023

IJCAI

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The main challenge in Wireless Sensor Networks (WSNs) is to maximize the lifespan of sensor nodes powered by low-cost batteries with limited power. Energy conservation is crucial, and routing mechanisms play a vital role in preserving energy. Energy-efficient routing methods can save battery power and extend the network's lifespan. This study introduces the Grey Wolf Optimization Routing Protocol (GWORP), enhanced with a novel routing mechanism that detects the statistically optimal path. It enables the discovery and reuse of an ideal route from the source to the destination, ensuring balanced energy consumption across WSN nodes and reducing path discovery time. GWORP outperforms the PSORP (Particle Swarm Optimization Routing Protocol) algorithm, significantly reducing energy usage and minimizing end-to-end latency. The findings suggest that GWORP could potentially increase the network lifespan by approximately 73% compared to PSORP.Povzetek: Namen raziskave je bila primerjava energijske učinkovitosti protokola GWORP z algoritmom PSORP v brezžičnih senzorskih omrežjih.

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Enhanced system for ns2 trace file analysis with network performance evaluation

Cited by 3 publications

References 21 publications

Custom Network Protocol Stack for Communication Between Nodes in a Cloudlet System

Custom Network Protocol Stack for Communication Between Nodes in a Cloudlet System

Empirical Comparison of Energy Efficiency Between 3-Tier and High-Speed 3-Tier Network Topologies

Lifetime Maximization Using Grey Wolf Optimization Routing Protocol with statistical Technique in WSNs

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