{"id":19361,"date":"2025-09-13T17:00:57","date_gmt":"2025-09-13T14:00:57","guid":{"rendered":"https:\/\/su.edu.ye\/voga\/?p=19361"},"modified":"2025-09-13T18:32:24","modified_gmt":"2025-09-13T15:32:24","slug":"phd-degree-awarded-to-mr-abdulsalam-mansour-in-information-technology","status":"publish","type":"post","link":"https:\/\/su.edu.ye\/voga\/en\/19361\/","title":{"rendered":"PhD Degree Awarded to Mr. Abdulsalam Mansour in Information Technology"},"content":{"rendered":"

Mr. Abdulsalam Mansour Ahmed <\/strong>was awarded a PhD degree in Computing and Information Science <\/strong>for his dissertation titled: A Novel Model for Optimizing Energy Efficiency and Enhancing Connectivity in Mobile Ad Hoc Networks (MANETs)<\/em><\/strong>, which was submitted to the Department of Information Technology, Faculty of Computer and Information Technology \u2013 Sana\u2019a University. The dissertation defense was held on Wednesday, September 3, 2025<\/strong>.<\/p>\n

The PhD Viva-Voce Committee, which was formed based on a resolution issued by the Graduate Studies and Scientific Research Council, consisted of the following:<\/p>\n

\u00a0<\/em><\/strong><\/p>\n\n\n\n\n\n\n
#<\/strong><\/td>\nCommittee Members<\/strong><\/td>\nDesignation<\/strong><\/td>\nPosition<\/strong><\/td>\n<\/tr>\n
1<\/td>\nProf. Sharaf Abdulhaq Mahyoub Al-Hamdi<\/strong><\/td>\nInternal Examiner<\/td>\nChair<\/td>\n<\/tr>\n
2<\/td>\nProf. Malek Nasser Ali Al-Jabri<\/strong><\/td>\nMain Supervisor<\/td>\nMember<\/td>\n<\/tr>\n
3<\/td>\nAssoc. Prof. Maher Ali Abdullah Al-Sanabani<\/strong><\/td>\nExternal Examiner<\/td>\nMember<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The study aimed to propose an innovative model to improve energy efficiency and extend the operational lifetime of MANETs.<\/p>\n

The study yielded several key findings, including:<\/p>\n

    \n
  • 48% improvement in network lifetime compared to AODV and 26% improvement compared to EEAODV.<\/li>\n
  • Significant reduction in packet loss rate.<\/li>\n
  • Lower end-to-end delay across the network.<\/li>\n
  • More balanced energy consumption across nodes.<\/li>\n<\/ul>\n

    The researcher concluded his dissertation with several key recommendations, including:<\/p>\n

      \n
    • Integrating intelligent energy management mechanisms into MANET routing protocols.<\/li>\n
    • Developing hybrid models leveraging artificial intelligence and machine learning to enhance route selection efficiency and proactively replace critical nodes before failure.<\/li>\n
    • Conducting further applied studies to test the proposed model in real-world environments, such as relief networks, to ensure greater reliability and extended network lifetimes under practical conditions.<\/li>\n<\/ul>\n

      The dissertation defense was attended by a number of academics, researchers, specialists, students, colleagues, and the researcher\u2019s family.<\/p>\n

      \"\" \"\" \"\"<\/p>\n