TY - JOUR
T1 - Resilient and low-latency information acquisition for FiWi enhanced smart grid
AU - Liu, Jiajia
AU - Guo, Hongzhi
AU - Zhao, Lei
N1 - Publisher Copyright:
© 1986-2012 IEEE.
PY - 2017
Y1 - 2017
N2 - As distinct SG applications have different communication requirements in terms of reliability, latency, bandwidth, and so on, it is obviously infeasible to rely on a single communication technology for SG communications. Therefore, a hybrid communication architecture integrating both low latency fiber optic and flexible wireless technologies should be a promising candidate, which gives rise to the so-called FiWi enhanced SG. Note that SG, as a national strategic infrastructure, relies heavily on physical infrastructures, and are vulnerable to various failures. In such cases, the distribution management system of SG should be able to obtain the status of overall SG infrastructure as soon as possible, so as to carry out disaster relief for power restoration and prevention of further chain-style blackouts. Toward this end, we provide in this article an architecture of FiWi enhanced SG and study the problem of resilient and low-latency information acquisition under failures. Furthermore, we propose a heuristic greedy clustering algorithm as our solution for remaining sensors to find their near-optimal clustering paths.
AB - As distinct SG applications have different communication requirements in terms of reliability, latency, bandwidth, and so on, it is obviously infeasible to rely on a single communication technology for SG communications. Therefore, a hybrid communication architecture integrating both low latency fiber optic and flexible wireless technologies should be a promising candidate, which gives rise to the so-called FiWi enhanced SG. Note that SG, as a national strategic infrastructure, relies heavily on physical infrastructures, and are vulnerable to various failures. In such cases, the distribution management system of SG should be able to obtain the status of overall SG infrastructure as soon as possible, so as to carry out disaster relief for power restoration and prevention of further chain-style blackouts. Toward this end, we provide in this article an architecture of FiWi enhanced SG and study the problem of resilient and low-latency information acquisition under failures. Furthermore, we propose a heuristic greedy clustering algorithm as our solution for remaining sensors to find their near-optimal clustering paths.
UR - http://www.scopus.com/inward/record.url?scp=85031318318&partnerID=8YFLogxK
U2 - 10.1109/MNET.2017.1600285
DO - 10.1109/MNET.2017.1600285
M3 - 文章
AN - SCOPUS:85031318318
SN - 0890-8044
VL - 31
SP - 80
EP - 86
JO - IEEE Network
JF - IEEE Network
IS - 5
M1 - 8053482
ER -