@inproceedings{c824c4c278b64ad598f14554b16998eb,
title = "A QoS-based ONU Group planning algorithm for smart grid communication network",
abstract = "To satisfy the quality of service requirements of various electricity information interactive applications in power fiber to the home network, we propose a QoS-based optical network unit group planning algorithm. This method uses several ONUs to converge data from all kinds of sensors in a network and then transmit it to OLT through the optical fiber composite low-voltage cable. Process of this method is divided into two stages. First, based on QoS requirements of a network including packet delay, packet error probability and packet loss rate, the number of ONUs in a certain area is solved by a series of mathematical methods such as queuing theory. Then, locations of ONUs are planned by using a tabu-search-Algorithm-based ONU location planning method to achieve the lowest power consumption of ONUs. Evaluation results show that our proposed method can guarantee QoS of a network and reduce total power consumption effectively.",
keywords = "Network planning, power fiber to the home, quality of service, tabu search algorithm, wireless sensor network",
author = "Lu, {Jun Hai} and Meng, {Fan Bo} and Xu, {Si Ya} and Dong Guo and Chen, {Xing Yu} and Ying Li",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017 ; Conference date: 27-09-2017 Through 29-09-2017",
year = "2017",
month = nov,
day = "1",
doi = "10.1109/APNOMS.2017.8094173",
language = "English",
series = "19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "25--30",
booktitle = "19th Asia-Pacific Network Operations and Management Symposium",
address = "United States",
}
