A multi-objective grey wolf optimization algorithm for energy-efficient cluster-based routing in IoT-enabled WSNs

Nature·Dec 9

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Researchers are exploring various optimization algorithms for energy-efficient routing in wireless sensor networks (WSNs) and other networks. Different approaches, including grey wolf optimization, multi-objective genetic algorithms, and bio-inspired methods, are being investigated for their potential to improve routing efficiency. The specific applications of these algorithms appear to vary, with some focused on internet of things (IoT)-enabled WSNs, healthcare data networks, and mobile ad hoc networks (MANETs).

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