Raghda Samir, Salsabil Adel, Irene Samy, T. Ismail
{"title":"Secure Data Aggregation in Cultural Heritage Monitoring: NMEC Case Study","authors":"Raghda Samir, Salsabil Adel, Irene Samy, T. Ismail","doi":"10.1109/ConTEL58387.2023.10198917","DOIUrl":null,"url":null,"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.","PeriodicalId":311611,"journal":{"name":"2023 17th International Conference on Telecommunications (ConTEL)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 17th International Conference on Telecommunications (ConTEL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ConTEL58387.2023.10198917","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.