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- W2911688538 abstract "Optimization techniques based on Swarm-intelligence has been reported to have significant benefits towards addressing communication issues in Wireless Sensor Network (WSN). We reviewed the most dominant swarm intelligence technique called as Bacteria Foraging Optimization (BFO) to find that there are very less significant model towards addressing the problems in WSN. Therefore, the proposed paper introduced a novel BFO algorithm which maintains a very good balance between the computational and communication demands of a sensor node unlike the conventional BFO algorithms. The significant contribution of the proposed study is to minimize the iterative steps and inclusion of minimization of both receiving / transmittance power in entire data aggregation process. The study outcome when compared with standard energy-efficient algorithm was found to offer superior network lifetime in terms of higher residual energy as well as data transmission performance." @default.
- W2911688538 created "2019-02-21" @default.
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- W2911688538 date "2018-12-01" @default.
- W2911688538 modified "2023-09-27" @default.
- W2911688538 title "Novel Bacteria Foraging Optimization for Energy-efficient Communication in Wireless Sensor Network" @default.
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- W2911688538 doi "https://doi.org/10.11591/ijece.v8i6.pp4755-4762" @default.
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