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- W3204128614 abstract "Wireless sensor network (WSN) is composed by a set of sensor nodes with low energy consumption and low cost which could sense quantities like humidity, temperature, pressure and send them to the central node. The routing optimization in IoT networks is required taking into account the traffic, congestion, and failure of some or all network services. In fact, low traffic and network congestion means high quality routing in that network. Increasing the network lifetime and improving the routing quality is one of the main concerns of IoT-based sensor networks. In this paper, a new clustering algorithm is proposed to increase the network efficiency in the IoT-based sensor networks using the fuzzy logic and particle swarm optimization (PSO) algorithm. In this approach, the cluster was created in WSN using energy modelling for effective routing of data packages via using fuzzy logic and (PSO). The stimulation results of the proposed method showed higher capabilities by comparison with reported algorithms (e.g. LEACH, FLCFP, HEED, FBCFP) s that were used for energy consumption optimization in WSN." @default.
- W3204128614 created "2021-10-11" @default.
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- W3204128614 date "2021-01-01" @default.
- W3204128614 modified "2023-09-23" @default.
- W3204128614 title "Integration of PSO Algorithm and Fuzzy Logic to Reduce Energy Consumption in IoT-Based Sensor Networks" @default.
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- W3204128614 doi "https://doi.org/10.1007/978-3-030-88113-9_36" @default.
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