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)
Imp Abstract In this pape the first alg covers an e buted mann second algo sented, com best experie not be the f (KVFPSO-L ledge and th gorithm, Im Simulation tion among 1. Introdu Coverage is sensor netwo cified area is often used as WSNs [1]. In is usually req point in the erage levels ample, for th environment low value. On is always a m vironment su(More)
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