Ticket-based QoS routing optimization using genetic algorithm for WSN applications in smart grid

Baroudi, Uthman; Bin-Yahya, Manaf; Alshammari, Mashaan; Yaqoub, Umair

doi:10.1007/s12652-018-0906-0

Cited by 48 publications

(24 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As demonstrated in Table 1, our proposed algorithm, MO-GSA, provides the best performance for test functions 27 , and F 28 . On the other hand, GPSO excels in the optimization problem for function F 7 , while JADEEP derives the best solutions for functions 11 , and F 26 .…”

Section: Results Of the Modified Gsamentioning

confidence: 90%

A modified gravitational search algorithm and its application in lifetimemaximization of wireless sensor networks

Mood¹,

Javidi²

2019

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

Recently, academic communities and industrial sectors have been affected by significant advancements in wireless sensor networks (WSNs). Employing clustering methods is the dominant method to maximize the WSN's lifetime, which is considered to be a major issue. Metaheuristic algorithms have attracted wide attention in the research area of clustering. In this paper, first a novel nature-inspired optimization algorithm based on the gravitational search algorithm (GSA) is defined. To control the exploitation and exploration capabilities of this algorithm, along with calculating the masses value, the tournament selection method is employed. Tournament size, the parameter of this method, is computed automatically using a function during the computational process of the algorithm. The abilities of the algorithm are balanced using this problem-independent parameter. Therefore, the performance of the proposed algorithm is improved in this paper. Moreover, a modified GSA is applied to an energy-efficient clustering protocol for WSNs to minimize the objective function defining the compact clusters that have cluster heads with high energy. The proposed search algorithm is evaluated in terms of some standard test functions. The results suggest that this method has better performance than other state-of-the-art optimization algorithms. In addition, simulation results indicate that the proposed method for the clustering problem in WSNs has better performance on network lifetime and delivery data packets in BS than other popular clustering methods.

show abstract

Section: Results Of the Modified Gsamentioning

confidence: 90%

A modified gravitational search algorithm and its application in lifetimemaximization of wireless sensor networks

Mood¹,

Javidi²

2019

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

show abstract

“…Similar al caso anterior, Mezghani and Abdellaoui, 2015, simulan un sistema basado en la topología Khalimsky (Abdellaoui et al, 2014), que permite reducir la ruta entre nodos en un 25% con respecto al protocolo AODV, pero ejecutan un algoritmo complejo que resultaría pesado de procesar para un microcontrolador. Otro trabajo es el de Baroudi et al, 2019, que utiliza un algoritmo genético para buscar la ruta más apropiada, logrando una mejora del 28% sobre el protocolo AODV.…”

Section: Prueba Del Protocolo Aodvunclassified

“…En el eje horizontal, la letra A representa la respuesta promedio obtenida en este trabajo, la letra B es el resultado logrado por Vidhya and Sasilatha, 2018, la C fue obtenida por Saravanan et al, 2018, la D por Jaggi andWasson, 2016 Otras investigaciones orientadas a WSN muestran valores elevados del tiempo de respuesta en las comunicaciones. Es el caso de Medina, 2017, que obtuvo un valor de 9.5 ms; en el trabajo de Baroudi et al, 2019, se obtuvo un tiempo de 1.7 ms y los autores Mezghani and Abdellaoui, 2015, reportan un tiempo de 4,95 ms. Cabe indicar que en estos estudios se procesan algoritmos complejos con características especiales de las redes simuladas.…”

Section: Prueba De Tiempo De Respuesta De Solicitudes De Lecturaunclassified

“…Otro aspecto asociado a los avances de las WSN, es la evolución de la microelectrónica programable, que ha posibilitado la implementación de redes de alto grado de complejidad y tecnológicamente más avanzadas, extendiendo el número de aplicaciones y algoritmos que pueden ser implementados en estas redes (Di Nisio et al, 2016), al mejorar su función en términos de latencia y rendimiento específico (Ahmad et al, 2017). Estas características están comprendidas en las denominadas QoS (del inglés, Quality of Service) o calidad de servicio (Snigdh and Gupta, 2016), (Baroudi et al, 2019), (Saravanan et al, 2018), (Nuñez et al, 2019), que evalúan el rendimiento global de la red o sistema (Valencia et al2019), (Benítez et al, 2017).…”

Section: Introductionunclassified

See 1 more Smart Citation

Red de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendida

Merchán

Espinoza

Pina³

et al. 2020

Rev. iberoam. autom. inform. ind.

View full text Add to dashboard Cite

Las redes de sensores inalámbricos disponen de un campo muy amplio de aplicaciones y aún muchos desafíos pendientes, especialmente aquellos relacionados con la evolución de la electrónica digital, ancho de banda, reducción de costos de implementación, cobertura de red y capacidad de procesamiento. Este documento propone una configuración de red inalámbrica multisalto orientada a instalaciones domóticas inteligentes, basadas en microcontroladores de 32 bits y módulos de comunicación inalámbrica de bajo costo, que permita tener cobertura completa entre los dispositivos del sistema domótico con una reducida pérdida de datos, mejora en la capacidad de procesamiento, adaptabilidad y escalabilidad en los nodos. La evaluación del desempeño de la red considera las siguientes métricas: tiempo de respuesta, alcance de red, escalabilidad y precisión. Los resultados experimentales determinaron una adaptación exitosa del protocolo multisalto AODV, permitiendo una cobertura suficiente para una vivienda unifamiliar, a una velocidad de transmisión de 250Kbps, que garantiza la integridad y seguridad de los datos.

show abstract

“…With modern communication technologies and automated control, the SG has become a next generation electricity grid to provide better reliability and efficiency. The electric power grid infrastructure enhanced by designing an overlay communication and computing network in SG [7]. SG represents the bi-directional communication power flow between the two concerned entities, i.e.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Cryptography Key Management for Secure Communications in Smart Metering

Asundi¹,

Jyoti²,

Nagaraj³

et al. 2019

IJITEE

View full text Add to dashboard Cite

Smart Grid (SG) is used in power systems to enhance environmental sustainability and increase the efficiency of energy management. In Smart Grid systems, Smart Meter (SM) is one of the most important devices. The SM is an advanced energy meter that receives data from the load devices of end users and computes the customer’s energy consumption. After that these smart meter transfers the information to the utility company and/or system operator. The secure data transmission is the main issue between the smart meters to the smart grid. Because the advanced metering architecture is vulnerable to the cyber-attacks. In order to ensure the security of smart meter data, the cryptography based encryption techniques are used in the SG. In this paper, the secure data transmission between the SM and the SG is performed by RSA cryptography. The communication over the devices performed by Binary Phase Shift Keying (BPSK). Here, the data from the SM encrypted using RSA encryption technique and then it transmitted using BPSK to SG. At last, at the smart grid the RSA decryption technique is used to decrypt the power values from various loads. The introduced RSA based encryption key management mechanism used to provide the end to end security in the smart metering communications. The access of the data is limited by providing the key to the authorized end users for enhancing the confidentiality of the data transmission. This proposed method is named as BPSK-RSA methodology. The performance of this BPSK-RSA methodology evaluated using energy consumption of the load devices. Then the performance of BPSK-RSA methodology is compared with DFT based CHE in terms of Mean Square Error (MSE). By taking the average, the MSE of BPSK-RSA methodology is improved at 5.02% than the DFT based CHE. The performance of the BPSK-RSA methodology is also compared with ECC-SM method in terms of Packet Delivery Ratio (PDR), Throughput (TH) and End to End Delay (EED). The PDR, TH and EED of BPSK-RSA methodology are improved at 2.95%, 6.24% and 19.64% than the ECC-SM method at 100 smart meter placement.

show abstract

Ticket-based QoS routing optimization using genetic algorithm for WSN applications in smart grid

Cited by 48 publications

References 41 publications

A modified gravitational search algorithm and its application in lifetimemaximization of wireless sensor networks

A modified gravitational search algorithm and its application in lifetimemaximization of wireless sensor networks

Red de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendida

An Efficient Cryptography Key Management for Secure Communications in Smart Metering

Contact Info

Product

Resources

About