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Kalaiselvan S.A.,Stpeters University | Parthasarathy V.,Vel Technology Multi Technology Dr Rr Drsr Engineering College | VenkataSwaroop G.,Stpeters University
International Journal of Applied Engineering Research | Year: 2014

An effective communication in wireless sensor network depends mainly on the limited power of the nodes deployed in the network. When there is no effective protocol to save power, then the routing among the nodes is difficult. Underwater Acoustic Sensor networks are mainly used for monitoring instruments, controlling of pollution, recording of changes in climate, natural disaster prediction, search missions and marine life study. The underwater network data transmission among the nodes or in a rout, needs a continuous communication. Else it makes data loss and it cannot be recoverable by any other node or by the base station. In such a situation it is necessary to ensure that the energy efficient network is adopted. In order to provide energy efficiency in routing with successful data transmission, this paper introduces an optimized energy efficient routing protocol [OEERP] via nodes having highest energy in a shortest path where the node highest energy and path least distance is optimized using AFISHS optimization algorithm. FISH is a Bio-inspired optimization algorithm, where it is too dynamic, repetitive and reliable. It provides the optimized highest energy nodes sited in a least distance based shortest path in the network. The simulation result shows the performance evaluation of the proposed AFISHS optimization algorithm than the existing ACO algorithm in various factors like Energy, PDR, and throughput and data loss. In terms of energy, throughput, PDR are increased as 5.5% Joules, 12% kb/sec and 0.6% of packets respectively than the Existing approaches. © 2014 Research India Publications.


Murugaboopathi G.,Vel Technology Multi Technology Dr Rr Drsr Engineering College | Parthasarathy V.,Vel Technology Multi Technology Dr Rr Drsr Engineering College | Chellaram C.,Vel Technology Multi Technology Dr Rr Drsr Engineering College | Anand T.P.,Vel Technology Multi Technology Dr Rr Drsr Engineering College | Vinurajkumar S.,Vel Technology Multi Technology Dr Rr Drsr Engineering College
Biosciences Biotechnology Research Asia | Year: 2013

Food processing industry faces various challenges; one of the foremost challenges is the need for quick and cost effective methods to detect the presence of allergenic components and pathogens in the food. Biosensors pave way for the rapid detection of pathogens, allergens as well as pesticide residues in food. Detection of contaminants, verification of product contents, product freshness and monitoring of raw materials conversion are the areas of potential biosensor applications. Generally in the food and the agricultural industries, chemical and microbiological analyses are done periodically by trained operators, which are expensive and require steps of extraction or sample pretreatment, increasing the time of analysis. Biosensors can overcome all these disadvantages by offering rapid, non-destructive and affordable methods for quality control. Biosensors have the potential to produce an analytical revolution to resolve the challenges in the agricultural and the food industries. This review gives an overview of various types of biosensors used in the food industry and outlines its future prospects.

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