Papers

Peer-reviewed Invited
Sep, 2016

High-Capacity Wireless Access Networks Using 920 MHz Band for Wide-Area IoT/M2M Services

IEICE TRANSACTIONS ON COMMUNICATIONS
  • Kazunori Akabane
  • ,
  • Nobuaki Mochizuki
  • ,
  • Shigeru Teruhi
  • ,
  • Mamoru Kobayashi
  • ,
  • Shuichi Yoshino
  • ,
  • Masashi Shimizu
  • ,
  • Kazuhiro Uehara

Volume
E99B
Number
9
First page
1920
Last page
1929
Language
English
Publishing type
Research paper (scientific journal)
DOI
10.1587/transcom.2016SNI0001
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG

In the near future, many sensors and terminals will be connected to the public network to provide various convenient IoT/M2M services. In order to connect many sensors to the network efficiently, wireless communication systems in the 920MHz band are seen as attractive solutions. We are focusing on the 920MHz band to research and develop high-capacity protocols that can accommodate many terminals, and low power consumption technologies for battery-driven terminals. In this paper, we describe the following three concrete wireless systems that use our proposals. (1) A physical distribution pallet management system that can handle thousands of pallet-embedded sensors and a wireless module with a battery lifetime of about ten years. (2) Water leakage monitoring system for underground pipes by using sensors and a wireless module in each valve box. (3) A wide-area and high-capacity radio relay system for smart metering services like the reading of gas meters. The radio relay system can accommodate various sensors and terminals and has large potential for providing various IoT/M2M services in conjunction with smart metering services.

Link information
DOI
https://doi.org/10.1587/transcom.2016SNI0001
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000384811600002&DestApp=WOS_CPL
ID information
  • DOI : 10.1587/transcom.2016SNI0001
  • ISSN : 0916-8516
  • eISSN : 1745-1345
  • Web of Science ID : WOS:000384811600002

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