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In contrast to traditional wireless sensor network (WSN) applications that perform only data collection and aggregation, the new generation of information processing applications such as pursuit-evasion games, tracking, evacuation, and disaster relief applications require in-network information storage and querying. Due to the resource limitations of WSNs,(More)
This paper presents a technique that based on a combination of genetic algorithm (GA) and particle swarm optimization (PSO), and is thus called GPSCA (Genetic-Particle Swarm Combined Algorithm) which is used to generate automatic test data for data flow coverage with using dominance concept between two nodes. The performance of the proposed approach is(More)
This paper presents an automatic test data generation technique that uses a new a new Algorithm called CGPSA (Combined Genetic-Particle Swarm Algorithm) that based on a combination of genetic algorithm (GA) and particle swarm optimization (PSO). It uses dominance relation between nodes. Finally, the paper presents the results of the experiments using this(More)
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