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Quality of Service for Wireless Sensor Networks in Smart Grid Applications

Monitoring and controlling smart grid assets in a timely and reliable manner is highly
desired for emerging smart grid applications. Wireless Sensor Networks (WSNs) are
anticipated to be widely utilized in a broad range of smart grid applications due to
their numerous advantages along with their successful adoption in various critical areas
including military and health care. Despite these advantages, the use of WSNs in such
critical applications has brought forward a new challenge of ful lling the Quality of
Service (QoS) requirements of these applications. Providing QoS support is a challenging
issue due to highly resource constrained nature of sensor nodes, unreliable wireless links
and harsh operation environments. In this thesis we critically investigate the problem
of QoS provisioning in WSNs. We identify challenges, limitations and requirements for
applying QoS provisioning for WSNs in smart grid applications. We nd that the topic
of data prioritization techniques at the MAC layer to provide delay bounds in condition
monitoring applications is not well developed. We develop six novel QoS schemes that
provide data di erentiation and reduce the latency of high priority tra c in a smart
grid context. These schemes are namely; Delay-Responsive Cross layer (DRX), Fair
and Delay-aware Cross layer (FDRX), Delay-Responsive Cross layer with Linear backo
(LDRX), Adaptive Realistic and Stable Model (ARSM), Adaptive Inter-cluster head
Delay Control (AIDC) and QoS-aware GTS Allocation (QGA). Furthermore, we propose
a new Markov-based model for IEEE 802.15.4 MAC namely, Realistic and Stable Markovbased
(RSM). RSM considers actual network conditions and enhances the stability of
the WSNs. We show through analytical and simulation results that all of the presented
schemes reduce the end-to-end delay while maintaining good energy consumption and
data delivery values.

Identiferoai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/26186
Date January 2013
CreatorsAl-Anbagi, Irfan
ContributorsMouftah, Hussein
PublisherUniversité d'Ottawa / University of Ottawa
Source SetsUniversité d’Ottawa
LanguageEnglish
Detected LanguageEnglish
TypeThesis

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