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Design of Intelligent Management and Service System for Gas Valve
Xiaoli Wang,Feifei Wang,Yuhou Song,Guirong Zhang,Shaohui Wang 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.5
This paper introduces a design scheme of intelligent gas valve management and service system based onInternet. This scheme adds sensor and general packet radio service (GPRS) modules to the traditional gas valveand establishes communication connection between gas valve and the server through wireless packetcommunication technology, which makes the traditional gas valve have the networking ability. Compared withthe traditional gas valve management and service business, the method proposed in this paper is moreconvenient and efficient.
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Demand‐based charging strategy for wireless rechargeable sensor networks
Ying Dong,Yuhou Wang,Shiyuan Li,Mengyao Cui,Hao Wu 한국전자통신연구원 2019 ETRI Journal Vol.41 No.3
A wireless power transfer technique can solve the power capacity problem in wireless rechargeable sensor networks (WRSNs). The charging strategy is a widespread research problem. In this paper, we propose a demand‐based charging strategy (DBCS) for WRSNs. We improved the charging programming in four ways: clustering method, selecting to‐be‐charged nodes, charging path, and charging schedule. First, we proposed a multipoint improved K‐means (MIKmeans) clustering algorithm to balance the energy consumption, which can group nodes based on location, residual energy, and historical contribution. Second, the dynamic selection algorithm for charging nodes (DSACN) was proposed to select on‐demand charging nodes. Third, we designed simulated annealing based on performance and efficiency (SABPE) to optimize the charging path for a mobile charging vehicle (MCV) and reduce the charging time. Last, we proposed the DBCS to enhance the efficiency of the MCV. Simulations reveal that the strategy can achieve better performance in terms of reducing the charging path, thus increasing communication effectiveness and residual energy utility.
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