IoT Sensor Network Powered by Sediment Microbial Fuel Cell

Masato Niwa, Zhenni Pan, Shigeru Shimamoto

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

The low power consumption in mW of the IEEE802.15.4/ZigBee standard is one of its feature, even though it requires the exchange of batteries. The cost of battery exchange for wireless sensors is considered as one of the critical problems for wireless sensor networks (WSN). Sediment microbial fuel cell (SMFC) can be a promising technology to replace conventional energy sources by renewable energy sources for wireless sensors, which has the potential to supply sustainable WSN without a replacement of batteries. However, SMFC cannot drive a microcontroller directly since it only provides ultra-low voltage and ultra-low current. In addition, from a general perspective, SMFC is costly to build for wireless sensors due to its materials costs. Considered about those challenges, this paper proposed a novel energy harvesting system for the ZigBee network which consists of the SMFC sensor and a power management circuit to accumulate adequate energy for load. Intermittent data transmission between the ZigBee end-device and coordinator is conducted with the designed energy harvesting system. The experimental results showed that the SMFC-powered ZigBee sensor device is eligible to enable intermittent communication in replacement of conventional battery.

本文言語English
ホスト出版物のタイトル2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728138930
DOI
出版ステータスPublished - 2020 1月
イベント17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020 - Las Vegas, United States
継続期間: 2020 1月 102020 1月 13

出版物シリーズ

名前2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020

Conference

Conference17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020
国/地域United States
CityLas Vegas
Period20/1/1020/1/13

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ
  • 安全性、リスク、信頼性、品質管理
  • メディア記述
  • 通信

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