Abstract
The use of multi-objective network in crisis identification and management operations is quite evident due to the aggregation of collected information and the instantaneous information of the region and the geographical area of operation on forest experts, crisis management, officers and intelligence and security managers. The existence of restrictions on energy consumption and the challenges of scientists and researchers have led to the idea of networking several multifunctional networks, using various sensors simultaneously and researching and developing algorithms and communication protocols to reduce energy consumption. The clustering technique of network components and sensors uses the genetic algorithm of relative justice to select the main network cluster and finally, after aggregating the information, directs them to the operating station. The operating station also relays the information to the main station, which compresses the data and reduces battery consumption on the multi-purpose network. In this research paper, we want to use a multi-objective network that plays the role of a direct workstation and a multi-objective network that plays the role of a client in the field of identification and relief by combining fuzzy logic and genetic algorithm in identifying and performing operations. Improve relief and rescue.
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