title: A reliable data delivery mechanism for grid power quality using neural networks in wireless sensor networks.
abstract: Power grids deal with the business of generation, transmission, and distribution of electric power. Current systems monitor basic electrical quantities such as voltage and current from major pole transformers using their temperature. We improve the current systems in order to gather and deliver the information of power qualities such as harmonics, voltage sags, and voltage swells. In the system, data delivery is not guaranteed for the case that a node is lost or the network is congested, because the system has in-line and multi-hop architecture. In this paper, we propose a reliable data delivery mechanism by modeling an optimal data delivery function by employing the neural network concept.
authors.affiliation: Department of Information Media, University of Suwon/San 2-2, Wau-ri, Bongdam-eup, Hwaseong-si, Gyeonggi-do, 445-743, Korea. yujin@suwon.ac.kr
authors.forename: Yujin
authors.initials: Y
authors.lastname: Lim
authors.forename: Hak-Man
authors.initials: HM
authors.lastname: Kim
authors.forename: Sanggil
authors.initials: S
authors.lastname: Kang
mesh_terms: D003195:Computer Communication Networks / Q000295:instrumentation*; D011211:Electric Power Supplies; D055615:Electrical Equipment and Supplies; D001330:Electronic Data Processing / Q000295:instrumentation* / Q000458:organization & administration*; D015203:Reproducibility of Results; D013686:Telemetry / Q000295:instrumentation* / Q000379:methods*; D059015:Wireless Technology / Q000295:instrumentation*