GENETIC ALGORITHM-BASED CLUSTERING OF WIRELESS SENSOR NETWORK WITH NOVEL DATA ENCRYPTION

Wireless sensor networks (WSNs) have been used widely in so many applications. It is the most efficient way to monitor the information. There areso many ways to deploy the sensors. Many problems are not identified and solved. The main challenge of WSN is energy efficiency and information security. WSN power consumption is reduced by genetic algorithm-based clustering algorithm. Information from cluster head to base station may have a lot of chances to get hacked. The most reliable way to manage energy consumption is clustering, and encryption will suit best for information security. In this paper, we explain clustering techniques and a new algorithm to encrypt the data in the network

Micropropagation and Attempts to Develop RAPD Molecular Markers for Salt Tolerant Cultivars of Pearl Millet

Differences were observed among four salt tolerant cultivars of pearl millet to in vitro culture media. Among the four cultivars, Cv IP 6098 is the most salt sensitive had maximum number of multiple shoots (15)/ seed, and the more salt tolerant cvs IP 6106 and IP 22269 developed 3-6 shoots/seed while cv IP 19612 the seeds remained single shooted in MS+3.0mg/L media up to 7 months. The multiple shoots 20% of cv IP 6098, flowered in 5 months with the reduction in hormone concentration (MS+1.0 mg/L BAP) whereas, the other three cultivars did not flower under the tested conditions. The present study was carried to detect genetic differences among the four cultivars of pearl millet at molecular level through RAPD PCR markers. RAPD analysis was carried with 12 primers, each 10-mer, only 7 primers were amplified showed polymorphism for the four cultivars. Primer OPM 16 revealed a single unique band of approx. 485bp in the genotype IP 22269 and three polymorphic bands in the genotype IP 6106. The results were repeatable, and further studies in this direction may enable to link the single band in the genotype IP 22269 to a morphological trait or physiological condition like salt tolerance

An integrated fuzzy MCDM approach to supplier selection—Indian automotive industry case

Multi-criteria decision-making (MCDM) techniques are being adopted in the supplier selection in the automotive industry. Due to their flexibility to interact with the factors needed in determining the supplier selection. The concept of a balanced scorecard is proposed for rating the supplier while evaluating their performance. Due to limitations in each MCDM technique, it is difficult to find a potential supplier using specific methodologies. Therefore, this paper proposes the integration of Fuzzy TOPSIS, Fuzzy AHP, and Fuzzy VIKOR in determining the potential supplier for a bus body building unit in the Indian context. After finding the rankings using each MCDM technique, spearman rank correlation coefficient is used to test the reliability in the ranks generated by each technique. The output results of this study help the company in establishing a robust supplier selection framework to select the best supplier.- (undefined