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Computer Science Project Topics and Materials for Final Year Students

If you are a Computer Science final year students and looking for research idea for your final year project, we have good list of computer science project topics and materials you can choose from to save you time. These topics were selected from Samphina Academy (samphina.com.ng) which is the No1 platform for Academic Research in Nigeria. Below are some selected Computer Science Project Topics and Materials for Final Year ....

Ikot Ekpene , Akwa Ibom , Ikot Ekpeneas , Samphina Academy , Academic Research , Health Document Classification Using Machine , School Management Board , A National Social Security Numbering System , Automated Civil Service Retirement Clearance , Nigeria Ports Authority , Automated Civil Service Employee Record Management System , University Management Information System , Online Airline Reservation Information System , Software Evaluation Using Weighted Sum , Security Network Programming Secured Client , Wireless Sensor Network , Online Book Club Management System , Hostel Allocation Using University , Holy Child Secondary School , Student Evaluation Programa Case Study , School Library Information System , Land And , Nigerian Police , Computer Science , Computer Science Project Topics , Final Year Student ,

"A cooperation federated forwarder selection technique for maximizing n" by Rajeev Tiwari, Premkumar Chithaluru et al.

Wireless Sensor Network (WSN) fulfills the requirements to solve real-life applications due to their unattended nature. But, the main constraint faced by researchers is the energy available with sensor nodes. The network should have a longer lifetime to offer better data aggregation. So there is a need to prolong the life of sensor nodes and thus WSN. It is necessary to design energy-efficient operational schemes. One of the most suitable approaches to enhance energy efficiency is the clustering scheme, which enhances the performance parameters of WSN. Thus Adaptive Ranking based Energy-efficient Opportunistic routing (AREOR) is an opportunistic scheme that creates dynamic clusters and offers a longer lifetime to the network due to its heuristic. This scheme is modified based on the cooperation of nodes termed Cooperation Federated-AREOR (CF-AREOR), further enhancing the network’s performance parameters. This protocol is implemented using a network simulator, and its performance is a ....

Wireless Sensor Network , Sensor Network , Adaptive Ranking , Energy Efficient Opportunistic , Live Node Analysis , Ead Node Analysis , Energy Optimization , Orwarder Node , Esidual Energy , Wireless Sensor Networks ,

Ph.D awardee - Star of Mysore

Ph.D awardee - Star of Mysore
starofmysore.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from starofmysore.com Daily Mail and Mail on Sunday newspapers.

Rb Hussana Johar , Electronics Engineering Sciences , Visvesvaraya Technological University , Techniques For Wireless Sensor Network , Wireless Sensor Network ,

Global IoT Wireless Sensor Market Report 2023: Sector is

Dublin, May 19, 2023 (GLOBE NEWSWIRE) The "IoT Wireless Sensor Market by Type, Technology, Solutions and Applications in Industry Verticals 2023 -. ....

United States , Latin America Io , Bosch Sensortec Gmb , Asia Pacific , Semiconductor Fairchild Semiconductors International , Renesas Electronics , Industrial Service Providers , Emerson Electric Co , Digital Living Network Alliance , Iot Sensor Technology Co Ltd , Johnson Controls International , Eaton Corporation , Hauser Group Services , Gastronics Inc , Microchip Technology Atmel Corporation , Texas Instruments Inc , Emerson Network Power , Honeywell International , Semiconductors Freescale Inc , Phoenix Sensors , Aruba Networks , Interlogix Inc , Rockwell Automation Inc , Iot Services , Consumer Electronics , Gmbh Co ,

"A novel approach based on bio-inspired efficient clustering algorithm " by Lokesh Lohar, Navneet Kumar Agrawal et al.

In large-scale heterogeneous wireless sensor networks (WSNs), clustering is particularly significant for lowering sensor nodes (SNs) energy consumption and creating algorithm more energy efficient. The selection of cluster heads (CHs) is a crucial task in the clustering method. In this paper, optimised K-means clustering algorithm and optimised K-means based modified intelligent CH selection based on BFOA for large-scale network (lar-OK-MICHB) is hybridised for CH selection process. Here, we utilised the extended capabilities of OK-MICHB algorithm for large-scale network. Furthermore, in many applications where energy is a primary constraint, such as military surveillance and natural disaster prediction, the stability region is also a significant factor, with a longer network lifespan being a primary requirement. In the proposed approach, only the CH selection is made after every round in place of cluster and CH change as done in conventional hierarchical algorithm. The simulation resu ....

Energy Efficient , Eterogeneous Sensor Nodes , Eterogeneous Wsn , Etwork Lifetime , K Michb Algorithm , Ptimisedk Means Algorithm , Stability Region , Wireless Sensor Network ,