Abstract
The issue of data collection in wireless sensor networks was studied. In this dissertation, a mobile sink node was introduced and a track fixed data collection solution (TDCS) was proposed and realized. TDCS consisted of two phases. Firstly, a number of collection sites were selected according to the sensor distribution. And then a quantum genetic algorithm was performed to calculate the shortest loop across the sites. Simulation tests were carried out. Simulation results showed that TDCS had better performance in network throughput and energy efficiency, and it could collets more data.
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