Kongu Engineering College

About: Kongu Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Cluster analysis. The organization has 2001 authors who have published 1978 publications receiving 16923 citations.

Biologically inspired QoS aware routing protocol to optimize lifetime in Sensor Networks

Abstract: A Wireless Sensor Network (WSN) is a self-governing network of sensor nodes organized in autonomous manner to monitor the region; connected using wireless links. Each node communicates with the other neighbor nodes, which lie in its transmission range and the entire region monitored by the combined effort of all the sensor nodes in the network, are termed as coverage area. The purpose of sensor nodes is to convey the event occurred to the base station or the sink node. Due to dynamic topology and limited network resources, sensor nodes experience a high failure rate. The ant based enhanced BiO4SeL QoS aware routing algorithm (EBiO4SeL) designed is based on the meta-heuristic approach of Ant Colony Optimization (ACO) framework, stimulated by natural ant behavior. Artificial ants are used to gather the QoS parameters such as delay, bandwidth, bit error rate, energy, signal strength etc., of the neighbor nodes. The path chosen for data transfer is computed with Path Preference Probability which satisfies all the Quality of Service (QoS) requirements. This algorithm is suitable for real time applications as it enhances node lifetime and downgrades packet loss and end to end delay. It is compared with existing BiO4SeL (Biologically-inspired Optimization for Sensor Lifetime) routing protocol.

Enhanced performance study of microbial fuel cell using waste biomass-derived carbon electrode

Abstract: The microbial fuel cell (MFC) efficiency was assessed by using biochar electrode. Electrodes were made of silicon (Si0.4), zinc (Zn0.4), and copper (Cu0.4) in 40% proportions mixed with derived waste coconut shell (CS) biochar materials after the carbonization process. The specific surface area of CS-Si0.4 (0.1920 m2 g−1), CS-Zn0.4 (0.2025 m2 g−1), and CS-Cu0.4 (0.2532 m2 g−1) is higher when compared to Graphite Particle (GP) (0.2165 m2 g−1). Electrodes’ power production outputs were CS-Si0.4 ((19.22 ± 0.5) mW m−2), CS-Zn0.4 ((26.40 ± 0.6) mW m−2), and CS-Cu0.4 ((47.04 ± 0.5) mW m−2) similar to GP ((32 ± 0.5) mW m−2). Experimental results show that the CS-Cu0.4 electrode provides maximum power output and efficiency. The inclusion of metals will increase surface area of biochar electrodes, and it increases the microbial fuel cell efficiency. The CS-Cu0.4 electrodes are therefore feasible, biocompatible, and cost-effective for environmentally sustainable systems.

The homogeneous balance method and its applications for finding the exact solutions for nonlinear equations

Abstract: The main objective of this paper is to solve non-linear equations for engineering and science applications. Various emerging engineering and science applications are using non-linear equation to represent the entire problem. Several earlier research works have been focused on solving linear and non-linear equation using different methods but they are application based. In recent days applications are described and represented mathematically in accordance to the non-linear, discreate and non-discrete data. Few research works have used homogeneous balance method for solving multi-dimension equations. Some of the earlier approaches have used homogeneous balance method for investigating WBKL, Kaup–Kupershmidt, and CSNLPD equations, whereas all the methods are not complexity reduced. In order to provide a complexity reduced, fast and highly suitable method for solving non-linear equations representing recent engineering applications. Also, it is well known that the homogeneous balance method is a powerful technique to symbolically compute traveling wave solutions of some nonlinear wave and evolution equations. Hence, in this paper the exact solutions of Gardner equation and Burgers equation are obtained by using homogeneous balance method and verified using MATHEMATICA.

Detoxification of electroplating sludge by bioleaching: process and kinetic aspects

Abstract: The presence of significant amounts of heavy metals in industrial sludge poses a severe threat to the environment and human health. In this study, bioleaching of heavy metals from electroplating industrial sludge was investigated using indigenous Acidithiobacillus ferrooxidans as the bacterial agent. The effect of sludge loading on the efficiency of heavy metal removal by bioleaching was studied. The efficiency of bioleaching was assessed based on media acidification, oxidation-reduction potential, and concentration of heavy metals in the aqueous solution. Experimental results showed that the sludge loading had great impact on the bioleaching process. At sludge loading of 1% (w/v), maximum removal of 96.31% and 84.4% was achieved for the heavy metals Zn and Ni, respectively. Bioleaching data were subjected to first-order-based kinetic studies for rate constant and further shrinking core model analysis was applied. It was found that the rate constants for Zn and Ni bioleaching were maximum at the treatment with lower sludge loading. The kinetic analysis using the shrinking core model revealed that chemical reaction step controls the overall rate of the bioleaching process. Such a kinetic study will be helpful in designing the sludge detoxification process by bioleaching.