TY - GEN
T1 - A Study on Communication Network Reliability for Advanced Metering Infrastructure in Smart Grid
AU - Xu, Shengjie
AU - Qian, Yi
AU - Hu, Rose Qingyang
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - One of the critical challenges remained in advanced metering infrastructure (AMI) in smart grid is communication network reliability. Ensuring a high communication network reliability for smart grid AMI is a fundamental requirement, which defines the availability of assured data transmission and information delivery. The traditional communication architecture of an AMI follows an access network structure with a tree-based topology, which does not always satisfy high network robustness and is prone to network failures. To address the challenge, this paper conducts a reliability study on the distributed AMI communication networks. First, this paper examines the underlying connectivity issues of an AMI, and proposes two new solutions to the existing communication architecture of an AMI. Second, a mathematical model is formulated to solve a network connectivity problem, where we try to maintain a high overall network reliability, while satisfying the communication deployment cost constraint at the same time. Simulation results are provided to demonstrate the overall network reliability in terms of single link reliability and communication architecture.
AB - One of the critical challenges remained in advanced metering infrastructure (AMI) in smart grid is communication network reliability. Ensuring a high communication network reliability for smart grid AMI is a fundamental requirement, which defines the availability of assured data transmission and information delivery. The traditional communication architecture of an AMI follows an access network structure with a tree-based topology, which does not always satisfy high network robustness and is prone to network failures. To address the challenge, this paper conducts a reliability study on the distributed AMI communication networks. First, this paper examines the underlying connectivity issues of an AMI, and proposes two new solutions to the existing communication architecture of an AMI. Second, a mathematical model is formulated to solve a network connectivity problem, where we try to maintain a high overall network reliability, while satisfying the communication deployment cost constraint at the same time. Simulation results are provided to demonstrate the overall network reliability in terms of single link reliability and communication architecture.
KW - advanced metering infrastructure
KW - reliability
KW - Smart grid
UR - https://www.scopus.com/pages/publications/85037987932
UR - https://www.scopus.com/pages/publications/85037987932#tab=citedBy
U2 - 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.35
DO - 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.35
M3 - Conference contribution
AN - SCOPUS:85037987932
T3 - Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017
SP - 127
EP - 132
BT - Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017
Y2 - 6 November 2017 through 11 November 2017
ER -