RNA is the second major form of nucleic acid in human cells that play intermediary role between D... more RNA is the second major form of nucleic acid in human cells that play intermediary role between DNA and functional protein. Several classes of RNA's are found in cells, each with distinct function. Understanding of storage and utilization of a cell's genetic information is based on the structure of RNA. Many experimental results have shown that RNA plays a greater role in the cells. RNA sequences contains signals at the structure level can be exploited to detect functional motifs common to all or a portion of those sequence. Different types of analysis of a structure can provide functional information in different degrees of detail. In this paper various types of RNA secondary structure representation has been discussed and in which appropriate structure has been adopted for probabilistic approach that shows un-ambiguity.
Journal of Discrete Mathematical Sciences and Cryptography
Abstract Efficient use of sensor’s available energy is one of prime issues to be solved for wirel... more Abstract Efficient use of sensor’s available energy is one of prime issues to be solved for wireless sensor network (WSN) alive and functional as long as possible. Appropriate relay sensor selection to forward packets to sink have been recommended as an encouraging solution to overcome the aforesaid challenge in WSN. However, the literature lacks towards link quality-oriented relay sensor selection to equalize energy consumption for longevity of the network. In this context, this paper proposes a geometrical link aware geocast routing for energy balancing (GeoLE) in WSN. Each time, GeoLE selects different sets of relay sensors based on a proposed predicted relay selection (PRS) metric to fairy equalize energy consumption of the sensors. The PRS metric is designed based on expected transmission count, forward progress, delay and residual energy. It is evident from simulation results that the proposed GeoLE approach outperforms the state of the art routing approaches in the terms of network lifetime, packet delivery ratio, average energy consumption, and energy balance factor.
In wireless sensor networks, energy is a precious resource that should be utilized wisely to impr... more In wireless sensor networks, energy is a precious resource that should be utilized wisely to improve its life. Uneven distribution of load over sensor devices is also the reason for the depletion of energy that can cause interruptions in network operations as well. For the next generation’s ubiquitous sensor networks, a single artificial intelligence methodology is not able to resolve the issue of energy and load. Therefore, this paper proposes an energy-efficient routing using a fuzzy neural network (ERFN) to minimize the energy consumption while fairly equalizing energy consumption among sensors thus as to prolong the lifetime of the WSN. The algorithm utilizes fuzzy logic and neural network concepts for the intelligent selection of cluster head (CH) that will precisely consume equal energy of the sensors. In this work, fuzzy rules, sets, and membership functions are developed to make decisions regarding next-hop selection based on the total residual energy, link quality, and forw...
RNA is the second major form of nucleic acid in human cells that play intermediary role between D... more RNA is the second major form of nucleic acid in human cells that play intermediary role between DNA and functional protein. Several classes of RNA's are found in cells, each with distinct function. Understanding of storage and utilization of a cell's genetic information is based on the structure of RNA. Many experimental results have shown that RNA plays a greater role in the cells. RNA sequences contains signals at the structure level can be exploited to detect functional motifs common to all or a portion of those sequence. Different types of analysis of a structure can provide functional information in different degrees of detail. In this paper various types of RNA secondary structure representation has been discussed and in which appropriate structure has been adopted for probabilistic approach that shows un-ambiguity.
Journal of Discrete Mathematical Sciences and Cryptography
Abstract Efficient use of sensor’s available energy is one of prime issues to be solved for wirel... more Abstract Efficient use of sensor’s available energy is one of prime issues to be solved for wireless sensor network (WSN) alive and functional as long as possible. Appropriate relay sensor selection to forward packets to sink have been recommended as an encouraging solution to overcome the aforesaid challenge in WSN. However, the literature lacks towards link quality-oriented relay sensor selection to equalize energy consumption for longevity of the network. In this context, this paper proposes a geometrical link aware geocast routing for energy balancing (GeoLE) in WSN. Each time, GeoLE selects different sets of relay sensors based on a proposed predicted relay selection (PRS) metric to fairy equalize energy consumption of the sensors. The PRS metric is designed based on expected transmission count, forward progress, delay and residual energy. It is evident from simulation results that the proposed GeoLE approach outperforms the state of the art routing approaches in the terms of network lifetime, packet delivery ratio, average energy consumption, and energy balance factor.
In wireless sensor networks, energy is a precious resource that should be utilized wisely to impr... more In wireless sensor networks, energy is a precious resource that should be utilized wisely to improve its life. Uneven distribution of load over sensor devices is also the reason for the depletion of energy that can cause interruptions in network operations as well. For the next generation’s ubiquitous sensor networks, a single artificial intelligence methodology is not able to resolve the issue of energy and load. Therefore, this paper proposes an energy-efficient routing using a fuzzy neural network (ERFN) to minimize the energy consumption while fairly equalizing energy consumption among sensors thus as to prolong the lifetime of the WSN. The algorithm utilizes fuzzy logic and neural network concepts for the intelligent selection of cluster head (CH) that will precisely consume equal energy of the sensors. In this work, fuzzy rules, sets, and membership functions are developed to make decisions regarding next-hop selection based on the total residual energy, link quality, and forw...
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Papers by rajesh varun