Work place: Department of Electrical, Electronics and Communication Engineering (EECE), St. Joseph University in Tanzania, Tanzania
E-mail: florin.wilfred@sjuit.ac.tz
Website: https://orcid.org/0000-0001-6398-7795
Research Interests: Image Processing, Computer Networks
Biography
W. Florin born on 17th July 1991, received her bachelor degree in Electronics & Instrumentation Engineering at Jeppiaar Engineering College, Chennai, Tamilnadu, India. She secured Master of Engineering in Applied Electronics at Sathyabama University, Chennai, India. She is working as an Assistant lecturer in the department of Electrical, Electronics and Communication Engineering at St.Joseph University in Tanzania. She is having two years of work experience. She has presented various papers in National/International Conferences and National/International journals indexed in Scopus and web of science. Her main area of interest includes Wireless sensor Networks, Image processing and Internet of Things.
By Ashok Battula S. Emalda Roslin W. Florin
DOI: https://doi.org/10.5815/ijcnis.2023.03.05, Pub. Date: 8 Jun. 2023
For starters, in UASN, distance between nodes as they move with water current, improved network's energy usage. The second problem with UASNs is void hole occurrence, which affects network performance. Nodes are unable to deliver data to the destination because there are no forwarder nodes (FNs) in the network. As a result, routing in UASNs aims to solve the previously mentioned issues in order to increase the network's lifespan. This research proposed novel technique in Void avoidance in underwater acoustic sensor network (UASN) with improving the energy efficiency of the network and analysing depth with security. In this proposed model, secure opportunistic energy efficient void avoidance protocol (Se_Opp_EE_VA) is used and the depth of the network has been analysed. By avoiding the vacuum zone and balancing network energy with depth analysis and security, the suggested effort extends the network lifetime. Routing techniques must be comprehensive enough to overcome all of these constraints as well as provide an energy-efficient routing that avoids empty zones while also extending network lifetime. The depth factor is used in depth-based algorithms proposed in recent decades to assess the path from sender to sink. They reduce information replication by using the holding time calculation. 81% of QoS, 92% of PDR, 96% of energy efficiency, Network lifetime attained by Proposed Se_Opp_EE_VA is 94%, and 50% of end to end delay have all improved as a result of the simulation.
[...] Read more.Subscribe to receive issue release notifications and newsletters from MECS Press journals