New Monitoring Architectures for underwater oil/Gas Pipeline using Hyper sensors Huda Aldosari 1 , Raafat Elfouly 2 , Reda Ammar 3 and Mohammad Alsulami 4 1,3,4 University of Connecticut, 2 University of Rhode Island 1,3,4 {huda.aldosari,reda.ammar,mohammad.alsulami@uconn.edu} 2 relfouly@ric.edu Abstract In this paper we propose new real time architectures for monitoring underwater oil and gas pipelines by using underwater wireless sensor network (UWSN). New monitoring architectures for underwater oil/gas pipeline inspection system combine a real time UWSN with nondestructive In Line Inspection (ILI) technology. These architecture will help in reducing or detecting the pipeline’s defects such as cracks, corrosions, welds, pipeline’s wall thickness …etc by improving data transfer from the pipeline to the processor to extract useful information and deliver it to the onshore main station. Hence, decreasing delays in default detection. 1 Introduction Oil and gas are considered one of the most significant energy resources in the world. The transmission of these sources between and through countries is done by pipeline that are either underwater (shallow or ultra- deep water) or underground, extending for thousands of miles and can operate for several years. An example on of the longest gas pipeline is the one located [1] in the West-East of China, operated by PetroChina Pipelines. It extends up to 8,707 Km, passes through more than 66 cities in 10 provinces from Xianjing, China and spreads over different and several directions. It can hold 30 billion cubic meters of gas per year. An example on oil pipeline, Eastern Siberia-Pacific Ocean Oil Pipeline is one of the longest underwater pipelines which lunches from Taishet, in the Irkutsk oblast located in central Siberia, and planned to connect Eastern Siberia to the Chinese border states with 4,857 km in length …etc. However, such pipelines may experience some defaults, corrosions, dents, cracks, chemical defects, intentional damage and all other kinds of imperfections which can cause leaks or failures on pipelines. EPiC Series in Computing Volume 69, 2020, Pages 307–316 Proceedings of 35th International Confer- ence on Computers and Their Applications G. Lee and Y. Jin (eds.), CATA 2020 (EPiC Series in Computing, vol. 69), pp. 307–316