An Optimal ZigBee Wireless Sensor Network Design for Energy Storage System

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publication2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)
Subtitle of host publicationProceedings
PublisherIEEE
Pages1313-1317
ISBN (Electronic)9781728156354
ISBN (Print)9781728156361
Publication statusPublished - Jun 2020

Publication series

NameIEEE International Symposium on Industrial Electronics
Volume2020-June
ISSN (Print)2163-5137
ISSN (Electronic)2163-5145

Conference

Title29th IEEE International Symposium on Industrial Electronics (ISIE 2020)
LocationDelft University of Technology
PlaceNetherlands
CityDelft
Period17 - 19 June 2020

Abstract

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.

Research Area(s)

  • Large-scale Energy Storage System, Multiple-objective Optimization, Wireless Sensor Networks

Citation Format(s)

An Optimal ZigBee Wireless Sensor Network Design for Energy Storage System. / Liu, Yucheng; Wei, Yang; Wang, Hao; Tsang, Kim Fung; Zhu, Hongxu; Chow, Yuk Tak.

2020 IEEE 29th International Symposium on Industrial Electronics (ISIE): Proceedings . IEEE, 2020. p. 1313-1317 9152271 (IEEE International Symposium on Industrial Electronics; Vol. 2020-June).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review