Mr. Shibuta made presentations at Technical Committee on Network System (NS) in September 20-21.

Mr. Shibuta made presentations at Technical Committee on Network System (NS) in September 20-21.

The titles and authours are as follows.

Authors: Naohiko Shibuta,Shanming Zhang, Hidetoshi Takeshita, Satoru Okamoto, Eiji Oki, Naoaki Yamanaka
Title: Dynamic Transmission Route Selection Towards the Contents Transmission Energy Optimization in E3-DCN
Abstract:We previously proposed Energy Efficient and Enhanced-type DCN(E3-DCN) which includes mash-up
service and Data Centric Network(DCN) and transmission energy efficiency. Mash-up service is the cloud service which combines devices, softwares, and contents on network. In the DCN, users request contents names to the network and receive requested contents from the network. E3 -DCN is built on the NeW Generation Network(NWGN), and aims at transmission energy optimization. In this paper, we propose the dynamic transmission route selection system in consideration of future traffic states. The simulation using Integer Linear Programming(ILP) shows the validity of this proposed system. And, we also introduce an experiment of a power saving mash-up service type contents distribution system.

Authors: Takashi Tazoe, Soushi Yamamoto, Harunaga Onda, Hidetoshi Takeshita, Satoru Okamoto, and Naoaki Yamanaka
Title: EDA-based Charging Algorithm for Plug-in Hybrid Electric Vehicle to Shift the Peak of Power Supply
Abstract:This paper proposes a charging algorithm which is based on the Estimation of Distribution Algorithm
(EDA) for Plug in Hybrid Electric Vehicle (PHEV). The proposed algorithm shifts the peak of power supply, satis es the requested State of Charge (SoC [%]), and minimizes the charging cost. The proposed algorithm uses exible weight for charging and upper charging limit to each PHEV to minimize the charge amount in peak time. The simulation result shows that the proposed algorithm shifts the peak of power supply in commute time zones, satis es SoC of 93% PHEVs, and reduces charging cost by 31% compared with conventional EDA algorithm.