Roghayeh Soleimanzadeh

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The effectiveness of wireless sensor networks (WSNs) depends on the coverage and target detection probability provided by dynamic deployment, which is supported by the several methods. Particle Swarm Optimization (PSO) algorithm is one these methods, however computation time required is a big bottleneck. This paper proposes three dynamic PSO-based(More)
In Wireless Sensor Network (WSN), the existing sensor positioning technique may result in increased cost, energy consumption, connectivity failure and less accuracy. In order to overcome these issues, in this paper, we propose a range-free sensor positioning based on Bacterial Foraging Algorithm (BFO) in WSN. In this technique, initially the anchor nodes(More)
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