Informatics Publishing Limited

S. Selvi , P. Umadevi , D. Devipriya , P. Chinnaswamy

Abstract

The ethanolic extract of Calocybe indica was studied for its free radical scavenging property on different in vitro models like 1, 1 - diphenyl-picryl hydrazyl (DPPH) Assay, Ferric Reducing Antioxidant Power (FRAP) assay and in vitro antilipidperoxidative assay using goat liver homogenate and RBC Ghost model. The in vitro Lipid peroxidation (LPO) was inhibited to a good extent by the Calocybe indica ethanolic extract and the extent of inhibition being higher in the RBC membrane model than the liver homogenate model. The mushroom extract showed good dosedependent free radical scavenging property in both the models.

Keywords

Free Radical Scavenging, Calocybe indica, Antioxidant

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D. Devipriya ¹, B. Rajesh Shyamala Devi ¹, K. Thenkumari ¹

Affiliations
1 Department of Electronics and Communication Engineering, Hindustan University, Chennai – 603103, Tamil Nadu, IN

Abstract

Background/Objectives: The Particle Swarm Optimization (PSO) uses the sleeping mechanism that provided energy optimization in Wireless Sensor Networks (WSN), but failed to provide better energy efficiency. Methods/Analysis: This paper proposes an Artificial Bee Colony (ABC) Algorithm, to improve the energy efficiency of WSN by proper Cluster Head (CH) selection. The proposed algorithm helps to form a cluster in a network, in which the nodes are randomly deployed. Findings: The selection of CHs is based on the energy of each node which is communicated using ABC algorithm. The energy and time involved in the CH search mechanism are much minimal than the time and energy consumed by PSO algorithm. Thus, the overall network lifetime is enhanced by generating more alive nodes. Novelty/Improvement: The performance of the proposed system is validated in terms of Packet delay Ratio (PDR), Throughput and the lifetime of the WSN.

Keywords

Artificial Bee Colony (ABC) Algorithm, Cluster Head Selection, Packet Delay Ratio (PDR), Throughput, Improved Lifetime, Wireless Sensor Networks (WSN).

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