Performance evaluation of MAC backoff algorithm in Narrowband PLC

Mudriievskyi, Stanislav; Tsokalo, Ievgenii; Haidine, Abdelfatteh; Adebisi, Bamidele; Lehnert, Ralf

doi:10.1109/smartgridcomm.2011.6102300

Cited by 12 publications

(11 citation statements)

References 5 publications

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“…The last case is the most robust and therefore the PHY datarate is near 1 Mbit/s. However the last case may be the realistic for the smart grid, where short packets are used [7] [8]. The calculated PHY datarates are correct for the constant packet interarrival time that is not smaller than TX frame duration.…”

Section: Phy Datarate Calculationmentioning

confidence: 99%

Performance evaluation of the G.hn PLC PHY layer

Mudriievskyi

Lehnert

2014

18th IEEE International Symposium on Power Line Communications and Its Applications

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Simulation of the IP end-to-end communication system requires accurate models which include the layers 4 to 1 of the ISO/OSI protocol stack. Usually these models are an abstraction of the real system. In this paper we focus on the PHY layer of a G.hn [1] system over PLC and calculate its throughput with respect to the PHY layer parameters: forward error correction (FEC) block size, packet size, repetitions number, etc. The parameters setup influences the efficiency of the PLC network very much. The results show that correct parameter settings for the specific traffic and channel conditions may save either energy required for transmission or equipment costs. This gives the opportunity for efficient scheduling on the medium access (MAC) layer in terms of effective use of the transmission capacity.

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Section: Phy Datarate Calculationmentioning

confidence: 99%

Performance evaluation of the G.hn PLC PHY layer

Mudriievskyi

Lehnert

2014

18th IEEE International Symposium on Power Line Communications and Its Applications

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“…The frame contains a number of windows with constant size (guard intervals, priorities, etc. [5]) and a contention window with variable size that is measured in slots. The performance of the complete MAC layer depends basically on the algorithm, according to which the contention window is changed.…”

Section: Mac Descriptionmentioning

confidence: 99%

“…Fig. 1 Contention window adaptation [5] In the figure the curves show the actual size of the contention window and the straight line the optimal values.…”

Section: Mac Descriptionmentioning

confidence: 99%

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CSMA/CA: Improvements of the contention window adaptation

Mudriievskyi

Radeke

Lehnert

2013

2013 IEEE 17th International Symposium on Power Line Communications and Its Applications

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We study the Narrowband Power Line Communications (NB-PLC) system intended to be used for Smart Grid applications. The performance of such system highly depends on the implementation and the used techniques. In this paper the Medium Access Control (MAC) layer of a specific system with the Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) mechanism is studied. The main feature of the used technique is that it automatically adopts the parameters of the protocol to the dynamically changing network. We investigate the protocol and suggest the improvements that give a higher performance.

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“…According to [3], some tangible deliverables from smart grid initiatives include real-time pricing, demand response (DR), electric vehicle charging control, integration of distributed Furthermore, many smart grid applications require low data rate; hence, it is understandable that NPLC dominated previous discussions [9][10][11][12][13][14], and funded projects such as [15][16][17][18][19] in relation to smart grids and their applications in low voltage (LV) regions. Apart from electromagnetic compatibility (EMC) issues in PLC generally [20,21], other major arguments against BPLC have been that 2-30 MHz cannot traverse an medium voltage/low voltage (MV/LV) step-down transformer without external bypass coupling circuit and that it suffers from high attenuation with distance [6].…”

Section: Introductionmentioning

confidence: 99%

Broadband PLC for Clustered Advanced Metering Infrastructure (AMI) Architecture

2016

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Advanced metering infrastructure (AMI) subsystems monitor and control energy distribution through exchange of information between smart meters and utility networks. A key challenge is how to select a cost-effective communication system without compromising the performance of the applications. Current communication technologies were developed for conventional data networks with different requirements. It is therefore necessary to investigate how much of existing communication technologies can be retrofitted into the new energy infrastructure to cost-effectively deliver acceptable level of service. This paper investigates broadband power line communications (BPLC) as a backhaul solution in AMI. By applying the disparate traffic characteristics of selected AMI applications, the network performance is evaluated. This study also examines the communication network response to changes in application configurations in terms of packet sizes. In each case, the network is stress-tested and performance is assessed against acceptable thresholds documented in the literature. Results show that, like every other communication technology, BPLC has certain limitations; however, with some modifications in the network topology, it indeed can fulfill most AMI traffic requirements for flexible and time-bounded applications. These opportunities, if tapped, can significantly improve fiscal and operational efficiencies in AMI services. Simulation results also reveal that BPLC as a backhaul can support flat and clustered AMI structures with cluster size ranging from 1 to 150 smart meters.

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Performance evaluation of MAC backoff algorithm in Narrowband PLC

Cited by 12 publications

References 5 publications

Performance evaluation of the G.hn PLC PHY layer

Performance evaluation of the G.hn PLC PHY layer

CSMA/CA: Improvements of the contention window adaptation

Broadband PLC for Clustered Advanced Metering Infrastructure (AMI) Architecture

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