An adaptive MAC for HomePlug Green PHY PLC to support realistic smart grid applications

Ayar, Muharrem; Latchman, Haniph A.; McNair, Janise

doi:10.1109/smartgridcomm.2015.7436364

Cited by 4 publications

(9 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the results reported in [16] shows that the throughput and the medium access delay performance of standard HomePlug/IEEE 1901 MAC degrades significantly when the number of active users increases. This paper extends the work presented in [17] by broadening the analysis to include not only throughput but also delay performance and also now considers channel access prioritization which have never been considered in [12], [13]. The saturation condition results presented in [17] with a single priority class, demonstrates that the MAC efficiency is maintained at about 80% for up to 100 contending users while the efficiency of the standard HomePlug MAC falls to 10% with the same number of users.…”

Section: Introductionmentioning

confidence: 62%

“…This paper extends the work presented in [17] by broadening the analysis to include not only throughput but also delay performance and also now considers channel access prioritization which have never been considered in [12], [13]. The saturation condition results presented in [17] with a single priority class, demonstrates that the MAC efficiency is maintained at about 80% for up to 100 contending users while the efficiency of the standard HomePlug MAC falls to 10% with the same number of users. However, the medium access delay and throughput performance of different priority classes were not evaluated.…”

Section: Introductionmentioning

confidence: 62%

“…The proposed MAC protocol, described in [17], redefines the backoff resolution scheme of HomePlug MAC by using the bi-dimensional Markov chain model shown in Figure 3. The operational flow chart of the adaptive contention window size based MAC protocol is very similar to that of standard HomePlug MAC with the exception that the DC value is kept fixed and the contention window (CW) size is updated based on the network population.…”

Section: Adaptive Contention Window Mechanismmentioning

confidence: 99%

“…defined a method to enhance throughput and fairness by computing the number of consecutive idle slots between two transmission attempts instead of estimating the number of nodes [10]. Although, estimating number of consecutive idle slot is relatively easier than estimating the number of nodes, [10] analyzed the performance of HomePlug MAC [11], [14], [16] and some improvements have been presented through [12], [13], [15], [17]. All of these consisted of adaptive CW adjustments.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the Markov chain model that is used to define the proposed model in [12] and [13] did not consider the time spent for a successful transmission or collision during which a node must freeze its backoff counter until the ongoing transmission attempt terminates, that is, as long as the node senses the channel idle. The defined problem was addressed in [17] by redefining the Markov chain model of [13].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A delay and throughput study of adaptive contention window based HomePlug MAC with prioritized traffic classes

Ayar

Latchman

2016

2016 International Symposium on Power Line Communications and Its Applications (ISPLC)

Self Cite

View full text Add to dashboard Cite

Power Line Communication (PLC) has become an integral part of home area networks (HANs) with increasing deployment of intelligent and connected devices. The advent of smart devices creates a heterogeneous type of network with a variety of throughput and delay sensitive applications that must coexist in the HAN. Meeting the quality of service (QoS) for various applications requires high MAC throughput, low channel access delay and prioritized channel access for certain types of data. The Medium Access Control (MAC) protocol for PLC, defined in HomePlug and IEEE 1901, exhibits significant degradation in MAC throughput and increasing channel access delay when the number of users increases. PLC MAC layer issues have received relatively modest attention of researchers compared with physical layer problems and as a result relatively little improvement in MAC throughput and delay performance has been reported over the standard IEEE 1901 protocol. This paper studies an adaptive contention window PLC MAC protocol with a view to assessing access delay performance of this modified protocol, with the throughput and prioritized traffic classes. In the adaptive protocol, each node observes the channel status and adaptively finds the optimum contention window size. Results demonstrate a significant improvement in both MAC efficiency and access delay for the highest priority class in the presence of lower priority classes. Whereas the MAC efficiency drops down to 10% in standard protocols, the proposed adaptive MAC protocol retains its efficiency at about 81% for up to 100 users. Also, the channel access delay is for the modified protocol is maintained under 200 ms for 100 users compared to more than 1000 ms for the standard HomePlug MAC.

show abstract

Section: Introductionmentioning

confidence: 62%

Section: Introductionmentioning

confidence: 62%

Section: Adaptive Contention Window Mechanismmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A delay and throughput study of adaptive contention window based HomePlug MAC with prioritized traffic classes

Ayar

Latchman

2016

2016 International Symposium on Power Line Communications and Its Applications (ISPLC)

Self Cite

View full text Add to dashboard Cite

show abstract

Wi‐Fi 6‐based home area network for demand response in smart grid

Edirisinghe,

Wijethunge,

Ranaweera

2024

Int J Communication

View full text Add to dashboard Cite

SummaryThe past decade has brought prolific developments to power systems that range from large‐scale renewable integration to digital twins. Modern power systems consist of highly variable generation clusters. Hence, monitoring and prediction of power generation has become a vital part of today's power systems. On the other hand, detailed real‐time information of power usage is also a key parameter for the control algorithms used for the demand side management. With this information flow, power systems become smart grids which offer improved service and enable many advanced operations. In this regard, the home area network (HAN), which collects the power consumption/generation of household devices, plays a key role. So far, a number of technologies such as ZigBee, Z‐Wave, and Power Line Communication (PLC) have been considered for the HAN. Yet, widely used wireless local area network (WLAN) technology, Wi‐Fi, was not identified as a prominent candidate due to the limitations in its latency and reliability. However, with the introduction of the IEEE 802.11ax standard, Wi‐Fi 6 was developed, and it demonstrates guaranteed latency and reliability for its users. Thus, with its widespread deployment in households, Wi‐Fi is becoming a natural candidate for HAN. In this article, we present a comprehensive HAN protocol based on Wi‐Fi 6 which can achieve guaranteed latency and reliability for HAN users. The results show that when an efficient resource allocation mechanism is in place, using Wi‐Fi for HAN does not adversely affect the other Wi‐Fi users in the normal WLAN.

show abstract