TY - GEN
T1 - An Optimal ZigBee Wireless Sensor Network Design for Energy Storage System
AU - Liu, Yucheng
AU - Wei, Yang
AU - Wang, Hao
AU - Tsang, Kim Fung
AU - Zhu, Hongxu
AU - Chow, Yuk Tak
PY - 2020/6
Y1 - 2020/6
N2 - Energy Storage System (ESS) has become a vital development for smart buildings and smart grids. Centralized intelligent ESS controller requires intelligent sensing with accurate real-time sensing data, which demands high latency and packet abnormal rate (PAR) performance of the communications between sensors and the control centralizer. Large scale indoor public spaces (IPS), generally characterized by large volumes, require robust connections among deployed sensors for ESS management. Wireless sensor network (WSN) has been proven to be one of the best candidates for data transmission in large scale ESS systems. ZigBee, attributed to its excellent performance on scalability, low power consumption and relatively sufficient data rate, is a crucial wireless protocol for WSNs in building applications. In this paper, a ZigBee based optimal WSN for ESS is proposed. The design considers multiple parameters for ESS which includes power efficiency, throughput, and robustness (i.e. packet loss, packet error). The parameters are optimized by designing a multi-objective optimization formulation on ESS. The optimization achieves a low latency and a low packet abnormal rate (PAR) and yet provides a real-time accurate data transmission. Experimental results reveal that the proposed system achieves a low PAR of 0.08%. The optimal design provides generic guidance for large scale WSNs design for ESS using ZigBee.
AB - Energy Storage System (ESS) has become a vital development for smart buildings and smart grids. Centralized intelligent ESS controller requires intelligent sensing with accurate real-time sensing data, which demands high latency and packet abnormal rate (PAR) performance of the communications between sensors and the control centralizer. Large scale indoor public spaces (IPS), generally characterized by large volumes, require robust connections among deployed sensors for ESS management. Wireless sensor network (WSN) has been proven to be one of the best candidates for data transmission in large scale ESS systems. ZigBee, attributed to its excellent performance on scalability, low power consumption and relatively sufficient data rate, is a crucial wireless protocol for WSNs in building applications. In this paper, a ZigBee based optimal WSN for ESS is proposed. The design considers multiple parameters for ESS which includes power efficiency, throughput, and robustness (i.e. packet loss, packet error). The parameters are optimized by designing a multi-objective optimization formulation on ESS. The optimization achieves a low latency and a low packet abnormal rate (PAR) and yet provides a real-time accurate data transmission. Experimental results reveal that the proposed system achieves a low PAR of 0.08%. The optimal design provides generic guidance for large scale WSNs design for ESS using ZigBee.
KW - Large-scale Energy Storage System
KW - Multiple-objective Optimization
KW - Wireless Sensor Networks
KW - Large-scale Energy Storage System
KW - Multiple-objective Optimization
KW - Wireless Sensor Networks
KW - Large-scale Energy Storage System
KW - Multiple-objective Optimization
KW - Wireless Sensor Networks
UR - http://www.scopus.com/inward/record.url?scp=85089473760&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85089473760&origin=recordpage
U2 - 10.1109/ISIE45063.2020.9152271
DO - 10.1109/ISIE45063.2020.9152271
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781728156361
T3 - IEEE International Symposium on Industrial Electronics
SP - 1313
EP - 1317
BT - 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)
PB - IEEE
T2 - 29th IEEE International Symposium on Industrial Electronics (ISIE 2020)
Y2 - 17 June 2020 through 19 June 2020
ER -