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EN
Automatic Meter Reading (AMR) system is expected to be used for real time load monitoring to optimize power generation and energy efficiency. Recently, it has been a serious problem that user’s lifestyle may be revealed by a tool to estimate consumer’s lifestyle from a real-time load profile. In order to solve this issue, Battery-based Load Hiding ( BLH ) algorithms are proposed to obfuscate an actual load profile by charging and discharging. Although such BLH algorithms have already been studied, it is important to consider multiple households case where one battery is shared among them due to its high cost. In this paper, a monetary fair BLH algorithm for multiple households is proposed. In presented scheme, the core unit calculates the difference between the charged amount and discharged one for each household. If the difference is bigger than the predefined threshold (monetary unfair occurs), the most disadvantageous and advantageous households are given priority to discharge and charge the battery and other households should charge to achieve monetary fairness. The efficiency of the scheme is demonstrated through the computer simulation with a real dataset.
2
Content available remote Vibration-base key exchange among multiple smart devices on the desk
EN
Eavesdropping is a real concern in mobile NFC (Near Filed Communication) pay- ment and data sharing applications. Although DH (Diffie-Hellman) scheme has been widely used in key exchange for secure communica- tions, it may fail in an indoor environment due to the vulnerability against man-in-the-middle attack. In this paper, we propose a vibration- based key exchange among multiple smart de- vices on the desk. In our scheme, devices are assumed to be placed next to each other and each device vibrates with patterns converted from a key to be exchanged and measures them with accelerometer to recover it. Then, each key is recovered from measured acceleration. We implement our scheme with Android smart- phones to show the effectiveness of the pro- posed scheme.
EN
Recently, forest fire monitoring system in wireless sensor networks has received much attention. The conventional scheme receives fire alert data quickly to inform about fire forest event. However, since two or more nodes may detect a fire, high priority fire detection data frequently collide. In this paper, a new forest fire monitoring system is proposed in order to reduce high priority fire detection data dropped rate, by specifying a high priority received data immediately after fire detection and just before the destruction by fire. Furthermore, the node only transmits high priority data to a node, which has a low possibility of destruction by fire for low end-to-end delay of high priority fire detection data. The simulation results show that proposed scheme can reduce high priority data dropped ratio and the end-to-end delay, and have less effect of wind direction compared with the conventional scheme.
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