TY - GEN
T1 - Evaluation of linear component node orchestration for IoT clusters in smart grid communication networks
AU - Okafor, Kennedy Chinedu
AU - Longe, Omowunmi Mary
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/8/23
Y1 - 2021/8/23
N2 - Linear Component node orchestration (LCNO) is a novel paradigm that focuses on the use of smart routing procedures to derive random connectivity among nodes in a Smart grid communication network (SGCN). It eliminates the limitations in distributed communication involving Machine to Machine interactions among edge nodes in the substations. To achieve the aims; first, the edge layer for data stream parameter collection (from both homogenous and heterogeneous sources) is automated. Second, homogeneous linear-like Internet of Things (IoT) clusters are introduced for modular deployment at the distribution network. Third, interface protection monitoring for linear-chain topology in SGCN is deployed. To study the effect of the LCNO for system resilience, a simple routing protocol (SRP) is compared with Power-Efficient Gathering in Sensor Information System (PEGASIS) and Low Energy Adaptive Clustering Hierarchy (LEACH). Quality of service (QoS) results show that SRP is more efficient for monitoring the frequency and voltage parameters.
AB - Linear Component node orchestration (LCNO) is a novel paradigm that focuses on the use of smart routing procedures to derive random connectivity among nodes in a Smart grid communication network (SGCN). It eliminates the limitations in distributed communication involving Machine to Machine interactions among edge nodes in the substations. To achieve the aims; first, the edge layer for data stream parameter collection (from both homogenous and heterogeneous sources) is automated. Second, homogeneous linear-like Internet of Things (IoT) clusters are introduced for modular deployment at the distribution network. Third, interface protection monitoring for linear-chain topology in SGCN is deployed. To study the effect of the LCNO for system resilience, a simple routing protocol (SRP) is compared with Power-Efficient Gathering in Sensor Information System (PEGASIS) and Low Energy Adaptive Clustering Hierarchy (LEACH). Quality of service (QoS) results show that SRP is more efficient for monitoring the frequency and voltage parameters.
KW - Edge Computing
KW - Internet of Things (IoT)
KW - Machine learning
KW - Quality of Service
KW - Smart grid Communication
UR - http://www.scopus.com/inward/record.url?scp=85116638805&partnerID=8YFLogxK
U2 - 10.1109/PowerAfrica52236.2021.9543443
DO - 10.1109/PowerAfrica52236.2021.9543443
M3 - Conference contribution
AN - SCOPUS:85116638805
T3 - 2021 IEEE PES/IAS PowerAfrica, PowerAfrica 2021
BT - 2021 IEEE PES/IAS PowerAfrica, PowerAfrica 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th Annual IEEE Power and Energy Society and Industrial Applications Society PowerAfrica Conference, PowerAfrica 2021
Y2 - 23 August 2021 through 27 August 2021
ER -