Presentation 2018-03-02
Localization in forest environment using LPWAN
Keisuke Umezawa, Sezaki Kaoru, Hiroki Kobayashi,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Understanding forest environment or an ecological system of animals is a key factor for human to coexist with nature and animals respectively. Since periodically sensing these data for human is not efficient, there is a system that in stead of human sensing such data, animals do that. However, there is a problem that such sensed data by animals doesn’t have geological information, and is not shared with other animals properly. Hence, we propose “One-hop forwarding system with geological information”. Concretely, using LoRa, one of LPWAN, we try to solve such a problem. To confirm validation of our proposal, we conducted an experiment in forest. As a result, we verify how our system functions in such an environment.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) LPWAN / LoRa / Sensor Network / Animal Sensing / IoT
Paper # LOIS2017-94
Date of Issue 2018-02-22 (LOIS)

Conference Information
Committee LOIS
Conference Date 2018/3/1(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Naha-City IT Souzoukan(Okinawa)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Hiroyuki Nishi(Sojo Univ.)
Vice Chair Tomohiro Yamada(NTT)
Secretary Tomohiro Yamada(Nagasaki Univ.)
Assistant Motoi Okamoto(Research Organization of Information and Systems)

Paper Information
Registration To Technical Committee on Life Intelligence and Office Information Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Localization in forest environment using LPWAN
Sub Title (in English)
Keyword(1) LPWAN
Keyword(2) LoRa
Keyword(3) Sensor Network
Keyword(4) Animal Sensing
Keyword(5) IoT
1st Author's Name Keisuke Umezawa
1st Author's Affiliation The University of Tokyo(The University of Tokyo)
2nd Author's Name Sezaki Kaoru
2nd Author's Affiliation The University of Tokyo(The University of Tokyo)
3rd Author's Name Hiroki Kobayashi
3rd Author's Affiliation The University of Tokyo(The University of Tokyo)
Date 2018-03-02
Paper # LOIS2017-94
Volume (vol) vol.117
Number (no) LOIS-464
Page pp.pp.135-140(LOIS),
#Pages 6
Date of Issue 2018-02-22 (LOIS)