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    Efficient Heuristic for Optimal MILP-LoRa Adaptive Resource Allocation for Aquaculture

    M. Iniyan Arasu1,*, S. Subha Rani1, G. Raswin Geoffery2

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 729-742, 2022, DOI:10.32604/iasc.2022.021973

    Abstract LoRa is well-known for its extensive communication range, inexpensive efficiency, and reduced or less power consumption in end devices. End-device energy consumption in LoRa networks is ludicrous because some end-devices use massive dissemination variables to reach the remote doorway. Furthermore, the batteries in these end devices deplete very quickly, reducing network life significantly. To address this issue, an optimal mixed-integer linear programming long-range technique (OMILP-LoRa) was used in this study. The primary goal of this research is to enable adaptive resource allocation using the unique OMILP-LoRa protocol. The ACCURATE heuristic and the OMILP model for More >

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