Secure Data Aggregation in Cultural Heritage Monitoring: NMEC Case Study

Raghda Samir, Salsabil Adel, Irene Samy, T. Ismail
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Abstract

Intelligent management plays a vital role in the preservation and success of cultural heritage, particularly in the context of museums. To ensure the long-term safeguarding of valuable and significant artifacts housed in museums, regular inspections are necessary. In this specific research study, the National Museum of Egyptian Civilization (NMEC) serves as a case study. To effectively monitor the museum's environment and protect its cultural assets, a wireless sensor network (WSN) is proposed. This network comprises various sensors that monitor crucial environmental factors such as temperature, humidity, and light levels. These sensors collect data, which is then aggregated using a cluster-tree-based architecture. During the aggregation process, the trust score of each node is taken into consideration when selecting cluster heads. This trust score serves as a measure of reliability and ensures that the most trustworthy nodes are responsible for data aggregation and transmission. Ultimately, the collected data is transmitted from the cluster heads (CHs) to the sink base station (BS) located outside the cultural site. To determine the optimal route for data transmission, a routing strategy is employed, considering both the path trust score and energy consumption. The path with the highest trust score and the lowest energy consumption is selected for data transmission, ensuring efficient and reliable communication within the network. The research findings indicate that the system's throughput remains stable throughout 50 sensing iterations. However, after 500 iterations, the throughput experiences a gradual decay to approximately 75% of its initial value. Additionally, the energy consumption of the network remains low, with a measurement of less than 0.2J after 500 iterations.
文化遗产监测中的安全数据聚合:NMEC案例研究
智能管理在文化遗产的保护和成功中起着至关重要的作用,特别是在博物馆的背景下。为了确保博物馆中珍贵和重要的文物得到长期保护,定期检查是必要的。在这项具体的研究中,埃及文明国家博物馆(NMEC)作为一个案例研究。为了有效地监测博物馆环境,保护文物,提出了一种无线传感器网络(WSN)。该网络由各种传感器组成,用于监测关键的环境因素,如温度、湿度和光照水平。这些传感器收集数据,然后使用基于集群树的架构进行聚合。在聚类过程中,选取簇头时会考虑每个节点的信任得分。该信任分数用于衡量可靠性,并确保最值得信任的节点负责数据聚合和传输。最终,收集到的数据从群集头(CHs)传输到位于文化遗址外的汇聚基站(BS)。为了确定数据传输的最优路径,采用了一种考虑路径信任评分和能量消耗的路由策略。选择信任得分最高、能耗最低的路径进行数据传输,保证网络内通信高效可靠。研究结果表明,该系统的吞吐量在50次传感迭代中保持稳定。然而,在500次迭代之后,吞吐量逐渐衰减到其初始值的大约75%。此外,网络的能量消耗仍然很低,500次迭代后的测量值小于0.2J。
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