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Kaoru Sezaki

Researcher at University of Tokyo

Publications -  267
Citations -  4382

Kaoru Sezaki is an academic researcher from University of Tokyo. The author has contributed to research in topics: Wireless sensor network & Network packet. The author has an hindex of 24, co-authored 245 publications receiving 4107 citations. Previous affiliations of Kaoru Sezaki include Waseda University & National Institute of Informatics.

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Journal ArticleDOI

Development of an Optimal Vehicle-to-Grid Aggregator for Frequency Regulation

TL;DR: This work proposes an aggregator that makes efficient use of the distributed power of electric vehicles to produce the desired grid-scale power and applies the dynamic programming algorithm to compute the optimal charging control for each vehicle.

CARAVAN: Providing Location Privacy for VANET

TL;DR: This paper proposes a location privacy scheme called CARAVAN, and evaluates the privacy enhancement achieved under some existing standard constraints of VANET applications, and in the presence of a global adversary.
Proceedings ArticleDOI

Enhancing wireless location privacy using silent period

TL;DR: The results show that the silent period proposal significantly reduces the duration of time a node can be tracked continuously, and is the first step to realizing random address protection in wireless location privacy.
Journal ArticleDOI

Estimation of Achievable Power Capacity From Plug-in Electric Vehicles for V2G Frequency Regulation: Case Studies for Market Participation

TL;DR: It is essential to estimate how much power can be delivered from vehicles to grid, called achievable power capacity (APC), for practical vehicle-to-grid (V2G) services, and a method of estimating the APC in a probabilistic manner is proposed.
Proceedings ArticleDOI

An improved DV-Hop localization algorithm for wireless sensor networks

TL;DR: An improved DV-Hop localization algorithm for wireless sensor networks, named iDV-Hop, is proposed in this article, where the unknown node upgrades its location by exploiting the obtained information in solving the system of equations to obtain higher localization accuracy.