Software Survey: Distributed job scheduling based on Swarm Intelligence: A survey
Computers and Electrical Engineering
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To solve high real-time and complexity calculation problems such as feature extraction and pattern classification when wireless sensor network real-time diagnosis and equipment health record of the mine coal underground equipments monitoring, this paper purpose a optimal algorithm for task scheduling underground wireless monitoring network based on distributed computing, this method use the fast convergence feature of GA, combine the fish swarm algorithm with survival mechanism and GA, improves the global search capability and convergence rate, referring the advance of distributed computing model, introducing the distributed computing to wireless network task scheduling, with fish swarm genetic algorithm, it can balance resource loads. The simulation results show that this algorithm not only has very strong global search capability and convergence, but also improve the network lifetime.