CRB-RPL: A Receiver-Based Routing Protocol for Communications in Cognitive Radio Enabled Smart Grid

Yang, Zhutian; Ping, Shuyu; Sun, Hongjian; Aghvami, A.H.

doi:10.1109/tvt.2016.2617874

Cited by 37 publications

(26 citation statements)

References 29 publications

(25 reference statements)

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“…PKM 1 dan PKM 2 secara acak menempati slot. Jika kedua PKM menempati slot yang sama, maka terjadi tabrakan, sehingga slot tidak dapat dipergunakan, PKM tidak menukarkan data, terjadi pengulangan kompetisi slot, dan memerlukan energi lebih banyak [13]- [20].…”

Section: Pendahuluanunclassified

Komunikasi M2M Kognitif Berbasis PRMA dengan Multi Ultra Frame dan Payload Exchange

Arifianto¹,

Sofwan²,

Prakoso³

2019

Jurnal Nasional Teknik Elektro dan Teknologi Informasi

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M2M communication is the process of exchanging data between devices on a network of capillary systems. The communication channel used is an empty space on a TV channel with a cognitive radio mechanism combined PRMA with a fixed and periodic scheme. The scheme has a working system that allows PRMA to place data in the same free space, which causes collisions. Therefore, it needs repetition, which requires more energy and causes inefficient communication. Thus, a Multi Ultra Frame (MUF) and Payload Exchange (PE) data exchange scheme is proposed to reduce collisions and repetition by giving grades and features to the data, with the aim to achieve optimal use of empty space. An indication of efficient communication is the optimal use of empty space, which affects the throughput (PT), duty cycle (Cyl), and interference ratio (fo). The higher PT and the lower Cyl and fo, the more efficient the communication. MUF and PE schemes produce PT of 99-41%, Cyl of 1-4.4%, and fo of 10-33%. Fixed and periodic schemes produce PT of 81-21%, Cyl of 2-9%, and fo of 15-52%. Optimization of MUF and PE schemes produce PT of 99-70%, Cyl of 0.5-2.2%, and fo of 8-14%. Optimization of fixed and periodic schemes produce PT of 66-35%, Cyl of 3-6%, and fo of 19-28%. Intisari-Komunikasi M2M merupakan proses pertukaran data antar perangkat pada jaringan sistem kapiler. Saluran komunikasi yang digunakan adalah ruang kosong pada saluran TV dengan mekanisme radio kognitif kombinasi PRMA skema tetap dan periodik. Skema tersebut memiliki sistem kerja yang menjadikan PRMA dapat menempatkan data pada ruang kosong yang sama, yang menyebabkan tabrakan. Oleh karena itu, diperlukan pengulangan, yang memerlukan energi lebih banyak, sehingga komunikasi menjadi tidak efisien. Dengan demikian, diusulkan skema pertukaran data Multi Ultra Frame (MUF) dan Payload Exchange (PE) untuk mengurangi tabrakan serta pengulangan dengan memberikan grade dan keutamaan pada data, dengan tujuan agar penggunaan ruang kosong dapat optimal. Indikasi komunikasi yang efisien adalah penggunaan ruang kosong yang sangat optimal yang berpengaruh pada throughput (PT), duty cycle (Cyl), dan interference ratio (fo). Semakin tinggi PT dan semakin rendah Cyl serta fo, semakin efisien komunikasi. Skema MUF dan PE menghasilkan PT sebesar 99-41%, Cyl 1-4,4%, dan fo 10-33%. Skema tetap dan periodik menghasilkan PT 81-21%, Cyl 2-9%, dan fo 15-52%. Optimasi skema MUF dan PE menghasilkan PT 99-70%, Cyl 0,5-2,2%, dan fo 8-14%. Sedangkan optimasi skema tetap dan periodik memberikan PT 66-35%, Cyl 3-6%, dan fo 19-28%.

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Section: Pendahuluanunclassified

Komunikasi M2M Kognitif Berbasis PRMA dengan Multi Ultra Frame dan Payload Exchange

Arifianto¹,

Sofwan²,

Prakoso³

2019

Jurnal Nasional Teknik Elektro dan Teknologi Informasi

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“…In [41], a method based on short term state forecasting is proposed that is able to detect false data injection in smart grids. A new routing protocol is presented in [42] for smart grid applications. In [43], instruction detection system is developed for smart grids.…”

Section: Recent Advances Of the Signal Processing Techniques In Smartmentioning

confidence: 99%

Recent advances of the signal processing techniques in future smart grids

Uddin

Ahmad

Qamar

et al. 2018

Hum. Cent. Comput. Inf. Sci.

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IntroductionSmart grid is a network of electric supply that manages power demand in reliable and economic manner by detecting and reacting to local changes in usage. The infrastructure comprises of smart meters, appliances, and resources with a combination of modern technologies like, control, power, instrumentation, and communication. In such a complex scenario, signal processing techniques are essential to understand, plan, design and operate the complex future smart electronic grids [1]. In addition to this, signal processing has wide variety of applications and is becoming an important tool for electric power system analysis. This is due to the fact that measurements retrieved from numerous locations of the grid can be used for data analysis. These measurements can also be used for a variety of issues such as voltage control, power quality and reliability, power system and equipment diagnostics, power system control and protection, etc [2][3][4][5][6].Power quality is one of the main issue of the smart grid research where voltage, current and frequency deviations in the power system are the main concerns of the system operator [7]. The characterization of the incompatibilities caused by these deviations requires an understanding of their principal cause. Other possible aspects that need inspection are the efficient representation of the voltage and current variations in various electrical Abstract Smart grid is an emerging research field of the current decade. The distinguished features of the smart grid are monitoring capability with data integration, advanced analysis to support system control, enhanced power security and effective communication to meet the power demand. Efficient energy consumption and minimum costs are also included in the prodigious features of smart grid. The smart grid implementation requires intelligent interaction between the power generating and consuming devices that can be achieved by installing devices capable of processing data and communicating it to various parts of the grid. The efficiency of these devices is greatly dependent on the selection and implementation of the advance digital signal processing techniques. This paper provides a comprehensive survey on the applications of signal processing techniques in smart grids, plus the challenges and shortcomings of these techniques. Furthermore, this paper also outlines some future research directions related to applications of signal processing in smart grids. Uddin et al. Hum. Cent. Comput. Inf. Sci. (2018) Page 2 of 15 Uddin et al. Hum. Cent. Comput. Inf. Sci. (2018) 8:2 equipment. Moreover, the signal processing of the power patterns leads to better understanding the behavior of these equipment. Continuous monitoring is also required to capture various events and variations. To meet future demands, methods and techniques must be developed to explore the full range of signals derived from the complex interaction between suppliers, consumers and network operators [8]. REVIEWA smart grid performs measurement, monitoring ...

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“…Similarly, it also facilitates consumer to check and monitor their energy consumption patterns and respond to power suppliers, if necessary. However, the AMI applications demand more reliability at the cost of low latency . AMI can facilitate business activities such as energy management (eg, detailed breakdown of power consumption by households, subdivisions, divisions, and county) and achieving quality of service (QoS) …”

Section: Introductionmentioning

confidence: 99%

An enhanced anonymous identity‐based key agreement protocol for smart grid advanced metering infrastructure

Mahmood

Arshad

Chaudhry

et al. 2019

Int J Communication

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Sprouting populace mass within the urban areas furnishes critical challenges of providing uninterruptible community services to fulfill the primitive needs of inhabitants in smart cities. Smart cities facilitate and uplift the living standards of inhabitants through various smart systems or infrastructures, and smart grid is one of them. Secure transmission is a key requirement in the advanced metering infrastructure (AMI) of most smart grids, and key establishment cryptographic protocols can be used to achieve such a requirement. Designing efficient and secure key establishment protocols for AMI remains challenging.For example, in this paper, we reveal several weaknesses in the identity-based key establishment protocol of Mohammadali et al (published in IEEE Trans Smart Grid, 2017), which is based on elliptic curves. We then improve their protocol and prove its security in the random oracle model. We also demonstrate that the improved protocol achieves both anonymity and untraceability, before presenting a comparative summary of the security and computational overheads of the proposed protocol and several other existing protocols. KEYWORDSadvanced metering infrastructure, anonymity, identity-based key establishment, key establishment, smart grid Int J Commun Syst. 2019;32:e4137.wileyonlinelibrary.com/journal/dac

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CRB-RPL: A Receiver-Based Routing Protocol for Communications in Cognitive Radio Enabled Smart Grid

Cited by 37 publications

References 29 publications

Komunikasi M2M Kognitif Berbasis PRMA dengan Multi Ultra Frame dan Payload Exchange

Komunikasi M2M Kognitif Berbasis PRMA dengan Multi Ultra Frame dan Payload Exchange

Recent advances of the signal processing techniques in future smart grids

An enhanced anonymous identity‐based key agreement protocol for smart grid advanced metering infrastructure

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