Big data analysis and cloud computing are gaining much interest in various applications including disaster management. One of the major difficulties in the process of exchanging environmental data in the disaster affected areas has been considered as one of the emerging areas of research. This research focuses on maintaining the environmental data information management of the disaster affected areas, where the intermediate node has been used to transmit the information during transmission and an optimized routing has been used to create efficient data transmission, such as temperature, pressure, humidity, and the level of pollution within the network. The intermediate node may also be hacked during data processing. In this article, the efficient big data‐based clustering technique has been proposed. In this research, the information is grouped into a cluster in every comparable node and the energy consumption has been efficiently managed with the hybrid metaheuristic optimization‐based effective routing technique. The system excellence has been evaluated using the energy utilization factor, packet delivery ratio, and attack‐free routing effectiveness metrics to handle environmental information on disaster affected areas.

中文翻译：

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灾区大数据背景下可靠数据传输的节能路由技术

大数据分析和云计算在包括灾害管理在内的各种应用中越来越受到关注。在受灾地区交换环境数据过程中的主要困难之一被认为是新兴的研究领域之一。本研究的重点是维护受灾地区的环境数据信息管理，在传输过程中使用中间节点来传递信息，并使用优化的路由来创建高效的数据传输，如温度、压力、湿度、以及网络内的污染程度。中间节点也可能在数据处理过程中被黑客入侵。本文提出了基于大数据的高效聚类技术。在这项研究中，信息被分组到每个可比较节点中的一个集群中，并且通过基于混合元启发式优化的有效路由技术有效地管理了能源消耗。该系统的卓越性已使用能源利用率、数据包传递率和无攻击路由有效性指标进行评估，以处理受灾地区的环境信息。