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In dense mobile wireless sensor networks, it is desirable to reduce traffic for data gathering as much as possible while satisfying an application requirement. In this paper, focusing on an application which monitors the time-variant shape of events, we discuss an approach to achieve an efficient monitoring with small traffic in dense mobile wireless sensor networks.
In this paper, we consider a bionanosensor network composed of nano-to-micro-scale nanomachines distributed over a 1- or 2-D bounded area. The goal of the bionanosensor network is to detect and remove a target signal that appears in the monitoring area and propagates via Brownian motion. The problem considered in this paper is formulated as a nanomachine placement problem to minimize the mean residence...
In this paper, we extend an energy-efficient data gathering method, named ODAS/SS, to improve the accuracy of monitoring applications in wireless sensor networks. ODAS/SS adopts spatial interpolation and sleep scheduling mechanisms in order to suppress the energy consumption and the variation in residual energy among nodes. In the original ODAS/SS, nodes which keep awake are selected only based on...
In this paper, we propose an autonomous and energy-efficient data gathering mechanism with transmission reduction for wireless sensor networks (WSNs). In our proposed mechanism, sensor nodes schedule their message transmission timing in a self-organizing manner such that they can gather sensor data over a whole WSN and transmit that data to a sink node while switching between a sleep state and an...
In this paper, we propose a dynamic route construction method based on measured characteristics of radio propagation in a real environment. Our method first measures characteristics of radio propagation for each link, and determines a communication route from every node to the sink node and its transmission power based on the measured characteristics. While operating the system, our method dynamically...
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