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All Journal Bulletin of Electrical Engineering and Informatics
Nagarajan Ramalingam
Gnanamani College of Technology
Electrical & Electronics Engineering

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Power analyzer of linear feedback shift register techniques using built in self test Kannadhasan Suriyan; Nagarajan Ramalingam; Kanagaraj Venusamy; Sathish Sivaraman; Kiruthiga Balasubramaniyan; Manjunathan Alagarsamy
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3331

Abstract

Wasteful patterns that don't lead to fault dropping squander a tone of energy in the linear-feedback shift register and circuit under examination in a random research region. Random switching actions in the CUT and scan pathways between applications with two consecutive vectors are another significant cause of energy loss. This study proposes a unique built-in self-test (BIST) technique for scan-based circuits that might help save energy. Only the available vectors are produced in a fixed series thanks to a mapping logic that alters the LFSR's state transitions. As a consequence, and without reducing fault coverage, the time it takes to execute trials has decreased. Experiments on circuits demonstrated that during random testing, the linear feedback shift register saves a significant amount of power.
Performance enhancement of mobile ad hoc network life time using energy efficient techniques Guruprasath Rengarajan; Nagarajan Ramalingam; Kannadhasan Suriyan
Bulletin of Electrical Engineering and Informatics Vol 12, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i5.5184

Abstract

Due to the dynamic topology and limited resources in mobile ad hoc networks (MANETs), multicast routing and quality of service (QoS) provisioning are difficult issues. This study introduces an agent-based QoS routing method that uses fuzzy logic to choose the best route while taking into account a variety of independent QoS indicators, including buffer occupancy rate, remaining mobile node battery capacity, and hop count. On the other hand, finding such pathways requires a lot of work in terms of efficiency and security. This study continues to test the security of weak models, and it has been shown that it may be challenging to accept various sorts of assaults. A distributed approach is given that may be used to determine the best resource distribution at each node. Additionally, the least energy-intensive directed acyclic network network flow is selected from a group using the embedded sleep scheduling algorithm. The process of choosing the flow and allocating the resources for each video frame is adjusted to the characteristics of the network connection channel. Results show that the suggested resource allocation and flow selection algorithms provide considerable performance benefits with minimal optimality gaps at a reasonable computational cost when applied to various network topologies.
Co-Authors Guruprasath Rengarajan Kanagaraj Venusamy Kannadhasan Suriyan Kannadhasan Suriyan Kiruthiga Balasubramaniyan Manjunathan Alagarsamy Sathish Sivaraman