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In urbanized and indoor environments, outdoor positioning systems, such as Global Navigation Satellite Systems (GNSSs), are often inaccurate and adaptations of such systems to those contexts are expensive and hard to deploy. Nowadays, a lot of indoor positioning techniques have been studied, but it it quite difficult to objectively evaluate and compare their accuracies in the same environment. Our...
The recent advances in radio and embedded system technologies have enabled the proliferation of wireless microsensor networks. Such wirelessly connected sensors are released in many diverse environments to perform various monitoring tasks. The effectiveness of these networks is determined to a large extent by the coverage provided by the sensor deployment. The positioning of sensors affect coverage,...
Inspired from social swarm intelligence, a cooperative boundaries tracking model with a mobile sensor network based on social foraging swarm behavior. In the model, the nodes of mobile sensor network are viewed as simple intelligent individuals of social swarm. The cooperative moving of the individuals is driven by sensed distribution environment. For boundaries tracking problems with mobile sensor...
A novel RSSI-based localization algorithm is proposed for wireless sensor networks. The proposed distributed range-free localization scheme is implemented by a mobile anchor node equipped with a GPS. The mobile anchor node moves in sensor area and broadcasts its current position periodically. A stationary sensor node computes its location using two positions of the mobile anchor node. After first...
Using controlled mobile elements is a promising approach to collect data from sensor nodes. It is very important to calculate a number of near-optimal routes for the fusion nodes that incrementally collect the data. Based on the multi-tier mobile network model, a new moving control strategy is proposed. This method first divides the monitoring field into several sub-regions so that fusion nodes can...
Evolving networks of ad-hoc, wireless sensing nodes rely heavily on the ability to obtain position information. In this paper we first briefly analyze the theory of DV-hop algorithm. And with simulation results, we realize that the high anchor node ratio and node deployment density can improve the localization precision in random wireless sensor networks. However, this will increase the hardware cost...
This paper addresses adaptive channel estimation for time-varying mobile wireless channels with nonstationary statistics. We presents a reduced complexity adaptive channel estimator based on a set membership filtering approach known as the Optimal Bounding Ellipsoid (OBE) algorithm. To exploit time and frequency domain correlation properties of the channel in an efficient low-complexity way, we allow...
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