Presentation 2019-10-10
A Method for Improving Wireless Frequency Utilization by Flattening Periodic Sensor Traffic Using Shift-Phase Manipulation
Riki Bando, Ping Du, Akihiro Nakao,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In many cases of IoT, wireless sensor sends data periodically. If accidentally traffic of some sensors have the same phase, high peak traffic arises and higher frequency bandwidth is necessary to avoid packet loss. In this paper, we propose methods to utilize radio frequency efficiently by adjusting a periodic traffic phase of each sensor and flattening the aggregated traffic. Our methods include the one to estimate traffic phases in the network and searches to determine initial phases of sensors efficiently. We discuss the advantage and disadvantage of the methods.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Periodic traffic / Wireless sensor network / Phase-shift scheduling
Paper # NS2019-100
Date of Issue 2019-10-03 (NS)

Conference Information
Committee NS
Conference Date 2019/10/10(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Nagoya Institute of Technology
Topics (in Japanese) (See Japanese page)
Topics (in English) Network architecture (Overlay, P2P, Ubiquitous network, Scale-free network, Active network, NGN/NwGN, IoT, Edge computing, Next generation packet transport (High speed Ethernet, IP over WDM, Multi-service package technology, MPLS), Grid, etc.
Chair Yoshikatsu Okazaki(NTT)
Vice Chair Akihiro Nakao(Univ. of Tokyo)
Secretary Akihiro Nakao(Osaka Pref Univ.)
Assistant Shinya Kawano(NTT)

Paper Information
Registration To Technical Committee on Network Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Method for Improving Wireless Frequency Utilization by Flattening Periodic Sensor Traffic Using Shift-Phase Manipulation
Sub Title (in English)
Keyword(1) Periodic traffic
Keyword(2) Wireless sensor network
Keyword(3) Phase-shift scheduling
Keyword(4)
1st Author's Name Riki Bando
1st Author's Affiliation University of Tokyo(UTokyo)
2nd Author's Name Ping Du
2nd Author's Affiliation University of Tokyo(UTokyo)
3rd Author's Name Akihiro Nakao
3rd Author's Affiliation University of Tokyo(UTokyo)
Date 2019-10-10
Paper # NS2019-100
Volume (vol) vol.119
Number (no) NS-221
Page pp.pp.7-12(NS),
#Pages 6
Date of Issue 2019-10-03 (NS)