Abstract
In conventional directional sensor networks, coverage control for each sensor is based on a 2D directional sensing model. However, 2D directional sensing model failed to 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. Besides, a novel criterion for judgment is proposed in view of the irrationality that traditional virtual potential field algorithms brought about on the criterion for the generation of virtual force. Furthermore, cross-set test is used to determine whether the sensory region has any overlap and coverage impact factor is introduced to reduce profitless rotation from coverage optimization, thereby the energy cost of nodes was restrained and the performance of the algorithm was improved. The extensive simulations results demonstrate the effectiveness of our proposed 3D sensing model and IPA3D (improved virtual potential field based algorithm in three-dimensional directional sensor networks).
Highlights
The sensory ability of WSNs to physical world is embodied in coverage which is often used to describe the monitoring standard of Quality of Service (QoS) [1, 2]
The target involved virtual force algorithm (TIVFA) is proposed by Li et al [8] and potential field-based coverage-enhancing algorithm (PFCEA) aiming at directional sensor model is proposed by Tao et al [9]
This paper proposed a probability-based three-dimensional directional sensory model, and based on which a novel criterion for judgment is proposed in view of the irrationality that traditional virtual potential field algorithms brought about on the criterion for the generation of virtual force
Summary
The sensory ability of WSNs to physical world is embodied in coverage which is often used to describe the monitoring standard of Quality of Service (QoS) [1, 2]. Authors of [19] put forward a three-dimensional directional sensory model and optimized coverage performance using virtual potential field and simulated annealing algorithm. Reference [21] proposed a coverage preservation protocol based on probability detection model (CPP) that makes working nodes in sensor networks as few as possible when network coverage is guaranteed. First we analyze the sensory ability of three-dimensional directional sensor based on probability model to design a novel direction-steerable three-dimensional directional sensor model and make use of virtual potential algorithm to adjust node direction to improve coverage effect.
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