Abstract
In view of the random deployment of directional sensor nodes, this article establishes the directional probability sensing model and proposes a distributed deployment strategy based on D-S theory, which makes the perceived probability of the target points in the monitoring area is equal to or greater than the threshold through the collaborative sensing among multiple nodes. The proposed algorithm uses fewer nodes to achieve the target coverage and meet the required overall coverage level. The simulation results indicate that the proposed algorithm reduces the number of nodes effectively and guarantees the better coverage.
Highlights
Wireless sensor networks (WSNs) are capable of realtime monitoring, sensing, and collecting information from various types of environmental and monitored objects through various types of integrated micro sensors and apply in military battlefield surveillance, public facilities maintenance and management, inspection and maintenance of industrial equipment, scientific observations of the gathering place of plants and animals, and so on.[1]
In view of the sensor nodes randomly deployed, we establish a directional probabilistic sensing model and use the information fusion method to realize collaborative sensing through information exchange among multiple sensor nodes
If the sensing probability is greater than the preset threshold, the event is detected
Summary
Wireless sensor networks (WSNs) are capable of realtime monitoring, sensing, and collecting information from various types of environmental and monitored objects through various types of integrated micro sensors and apply in military battlefield surveillance, public facilities maintenance and management, inspection and maintenance of industrial equipment, scientific observations of the gathering place of plants and animals, and so on.[1]. With the calculating method of the node number in the omnidirectional sensor network, the sensing area of the single directional sensor node s is
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