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Brief information is given on the NTP servers of the All-Russia Research Institute of Physicotechnical and Radio Measurements (VNIIFTRI). Data of experimental investigations performed for the purpose of determining the real divergence of the system time scales of client computers relative to UTC(SU) in synchronization with respect to a group of Stratum 1 level NTP servers as well as the results of...
In wireless sensor network studies the main objective is minimizing the energy consumption so that the lifetime is maximized under the limited battery capacity constraints. In most event-driven surveillance applications, the end-to-end delay should also be minimized. In this paper we present a new EDO-MAC (energy and delay optimization Media Access Control) which reaches a good balance between energy...
There are different data processing methods in power quality monitoring system. This paper proposes a new data processing method based on data pre-processing, reasonable choice of time interval for analysis and generating daily statistical file. On the basis of IEC standard, it is effective to obtain clear and explicit graphs and quickly create different statistical reports in the power quality control...
A novel sensor buoy platform was developed for detailed environmental monitoring of coastal areas. Using many buoys in a mesh network on low power ZigBee basis allows dramatic reduction of the overall power consumption, enabling an autonomous operation on a single battery set over 3 y. Each buoy acts as sensor node but also as router forwarding messages from neighbor buoys to a centralized server...
Embedded computing platforms have long incorporated non-traditional architectures (e.g., FPGAs, ASICs) to combat the diminishing returns of Moore's Law as applied to traditional processors. These specialized architectures can offer higher performance potential in a smaller space, higher power efficiency, and competitive costs. A price is paid, however, in development difficulty in determining functional...
A key obstacle to large-scale network simulation over PC clusters is the memory balancing problem where a memory-overloaded machine can slow down an entire simulation due to disk I/O overhead. Memory balancing is complicated by (i) the dfficulty of estimating the peak memory consumption of a group of nodes during network partitioning-a consequence of per-node peak memory not being synchronized-and...
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