A Routing Optimization Method for Wireless Sensor Networks Based on Immune Clone Selection
A wireless sensor and immune cloning technology, applied in the field of Internet of Things, can solve problems such as limited energy, node failure, and difficulty in reaching monitoring targets, and achieve the effects of improving robustness, improving optimization speed, and reducing self-healing time.
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[0055] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.
[0056] Such as figure 1 As shown, the main idea of the immune cloning algorithm is: take the initial population as the center, expand a single population into multiple populations through cloning and mutation operations, and then select antibodies with good quality from the parent antibody as the antibody group for local range search, saving Search time, use suppression to establish inter-group connections, eliminate antibodies with high similarity in clonal variation, increase the global search range, and find areas where there may be optimal solutions through joint searches in local and global ranges.
[0057] When the artificial immune clone selection algorithm is used for route optimization, the constraints of route selection are measured by the closely related distance and remaining energy, and only nodes within its communication range...
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