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In order to achieve an accurate location of unknown nodes in complex three-dimensional wireless sensor networks, in this paper, a new localization algorithm based on anchor optimization is presented. Resorting to virtual force theory, it redeploys the anchor nodes deployed randomly within a certain area to engender a good coverage state, and then uses the DV-Hop algorithm to locate the unknown nodes...
This paper considers the problem of improving the coverage of wireless sensor network (WSN) after initial deployment of the sensors. This is crucial to enhancing the quality of WSN monitoring as well as prolonging the network lifetime. A technique called biogeography-based optimization (BBO) has been employed to improve WSN coverage. This algorithm is known to have slow convergence, so a virtual force...
Sensor nodes deployment is very crucial for wireless sensor networks (WSNs). Current methods are apt to enlarge the coverage by achieving a nearly even deployment with similar density in the whole network. However, in some specific applications, the even distribution may not satisfy the sensing requirements. This paper proposes a virtual force directed coevolutionary particle swarm optimization (VFCPSO)...
Sensing deployment is an important issue addressed in wireless sensor network (WSN). This paper proposes a virtual force directed co-evolutionary particle swarm optimization (VFCPSO) algorithm, which uses a combined objective function to achieve the tradeoff of coverage and energy consumption. By considering deployment as an optimization problem, VFCPSO is more reliable and flexible for WSN, since...
In conventional directional sensor networks, coverage control for each sensor is based on a 2D directional sensing model. However, 2D directional sensing model cannot accurately characterize the actual application scene of image/video sensor networks. To remedy this deficiency, we propose a 3D directional sensor coverage-control model with tunable orientations. In order to improve the efficiency of...
The increasing ubiquity of mobile embedded systems has been matched by the evolution of a variety of wireless network standards and technologies. The major constraints of wireless embedded systems are limitations of communication bandwidth, processing capabilities, and battery power. Remote wireless embedded systems often act as sensors, which provide data to a certain community. The exchange of data...
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