Green Communication Networks Challenges, Opportunities and Future Role

Hamdi, Mustafa Maad; Audah, Lukman; Rashid, Shah Samiur; Alani, Sameer; Аl-Мashhadani, Mohammad Abdulrahman; Mustafa, A. F.

doi:10.12720/jcm.15.3.256-262

Cited by 13 publications

(6 citation statements)

References 36 publications

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“…The range of conditions that are no longer available in this way can be good, and these programs are often combined with other detection methods. [8]. In voltage base detection schemes also check reactive power difference before islanding state and DG absorbing capability of reactive power.…”

Section: A Under/over Voltagementioning

confidence: 99%

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Machine Learning Based Islanding Detection During Blackout

Ghafoor

2022

IJSET

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In modern era, demand of electricity is increasing rapidly due to fast development in industrial sector, communication technologies, commercial and domestic usage. The need of the hour is to protect the power system from blackouts during abnormal conditions, like voltage collapse and frequency disturbance etc between the generation and consumption. The sudden change in weather conditions, loading of power system, and over ageing of transmission and distribution lines becomes the cause of blackouts. Islanding detection and protection is one of the best possible techniques to improve the power quality, reliability, system security, transmission congestion relief and efficient energy utilization. Distribution generators (DGs), if properly placed have many positive impacts on the operation of power system. The islanding can improve the reliability by counting the operation of electrical power to keep the balance between consumption and generation. The main problem is sustained islanding with fast timing. Plant should sustain its island mode condition when fault occurs in transmission lines. Most islanding detection algorithms suffer from large NDZ and Non detection zone must be minimized to protect system properly and avoid blackouts. This study presents a technique to develop a reliable system to prevent complete blackouts, while maintaining the stability of the power system with high variability and uncertainty under the abnormal conditions. It is also needed to present the period all the DGs need to connect and disconnect immediately when the island occurs. For this purpose, each DG must be equipped with islanding detection devices. In this research work the presented system is a two-step process, based on the collection of some of the key characteristics in the current and voltage signals to analyze second harmonic by the Fourier transform (FT).

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Section: A Under/over Voltagementioning

confidence: 99%

“…Under and over voltage rating of the nominal voltage shows islanding state. DGs protection schemes depend upon voltage relay that checked islanding mode [8].…”

Section: A Under/over Voltagementioning

confidence: 99%

Machine Learning Based Islanding Detection During Blackout

Ghafoor

2022

IJSET

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“…In typical routing protocols are proposed for MANET, such as AODV or DSR, the cost of a route is determined by the hop numbers that the packet has to travel from the source node to the destination node. This routing method has many limitations [2], [7][8][9][10][11][12][13][14] 21]. The ETX metric is defined as the expected number of transmissions at the data link layer to transmit a successful packet on the link.…”

Section: Routing Metricmentioning

confidence: 99%

“…Therefore, many studies have been done to improve availability and reliability in MANET [2,5]. Through the related studies [6][7][8][9][10][11][12][13][14][15][16][17][18][19][21][22][23][24][25] showed that how to use mobile agent technology with the intention of improving the performance of MANET becomes an increasingly exciting research topic. The specific solution is to integrate mobile agents into the control of routing protocols in MANET to improve the overall performance of the system.…”

Section: Introductionmentioning

confidence: 99%

An Improved Agent-Based AODV Routing Protocol for MANET

Nguyen¹,

Nam²,

Linh³

et al. 2021

EAI Endorsed Transactions on Industrial Networks and Intelligen

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The mobile ad-hoc network (MANET) is a special mobile network that has self-configuration and self-establish abilities to communicate conveniently. MANET is forming mobile devices such as mobile phones, personal digital assistants (PDAs), laptops, etc. As a result of the rapid, flexibility, and facilitate in communication, nowadays, MANET has revolutionized many real-life applications, ranging from smart agriculture and smart cities to forest fire detection systems, and expected to have vital contributions into the future of the Internet. However, due to the mobile nature of network nodes combined with the network architecture that without relying on central devices pre-installed such as base stations, the high-performance routing problem is one of the most significant challenges in the MANET environment. In this study, we propose a highperformance routing protocol, namely agent-based ad-hoc on-demand distance vector (A-AODV), to select the optimal route with high throughput and low latency. Through the developed routing algorithm, we explain how the suitable route with the lowest cost based on agents. To demonstrate the effectiveness of the proposed protocol, we compared A-AODV's performance with two well-known traditional protocols on NS2. Simulation results show that A-AODV improves superior performance over the traditional protocols.

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“…Despite being limited in ability and capacity, MANETs have proven to be outstanding advantages in communicating with flexible infrastructure. They are applied in very many domains such as smart cities [7], healthcare [8] smart traffic [9], military [10], emergency and disaster recovery [11][12], as well as promising a vital contribution to the future development of the Internet [13].…”

Section: Introductionmentioning

confidence: 99%

A High-Performance Routing Protocol Based on Mobile Agent for Mobile Ad Hoc Networks

Quy

Chuan

Nam

et al. 2021

Int. J. Interact. Mob. Technol.

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This paper presents a modification of a well-known routing protocol, namely Ad hoc On-Demand Distance Vector, as a solution to improve the performance of mobile ad hoc networks. We adapted the mobile agent technology as to novel metrics for routing in those networks. The metric is a function of the loss rate, the bandwidth and the end-to-end delay of the link. Indeed, we established a new tunable parameter to obtain a tradeoff between throughput and delay when computing the new metric. As a result, any routing protocol using this metric can al-ways choose a high-throughput and low-delay path between a source and a destination. Hence, the achievable performance of the mobile ad hoc networks has been improved remarkably with our modified routing protocol,

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Green Communication Networks Challenges, Opportunities and Future Role

Cited by 13 publications

References 36 publications

Machine Learning Based Islanding Detection During Blackout

Machine Learning Based Islanding Detection During Blackout

An Improved Agent-Based AODV Routing Protocol for MANET

A High-Performance Routing Protocol Based on Mobile Agent for Mobile Ad Hoc Networks

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