2016
DOI: 10.1155/2016/2046392
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Directional Probability Perceived Nodes Deployment Based on Particle Swarm Optimization

Abstract: Node deployment is the key problem of wireless sensor network technology. For a directional sensor network, the perceived probability model reflects the quality of the network. The problem of the probability node deployment is too little of the distribution of the nodes asymmetrical. In this paper, we study the probability model of directional perceived nodes and propose an improved deterministic deployment algorithm based on particle swarm optimization to increase perceived probability. By analyzing the cover… Show more

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Cited by 4 publications
(1 citation statement)
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“…In order to validate the efficiency of node deployment based on BiCM, the simulation trials are conducted using MATA-LAB R2016a [30]. The performance among BiCM, tuned BiCM, and FOA is carried out using the simulation setup parameters given in Table 2.…”
Section: Simulation Results and Discussionmentioning
confidence: 99%
“…In order to validate the efficiency of node deployment based on BiCM, the simulation trials are conducted using MATA-LAB R2016a [30]. The performance among BiCM, tuned BiCM, and FOA is carried out using the simulation setup parameters given in Table 2.…”
Section: Simulation Results and Discussionmentioning
confidence: 99%