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Shilpa,
- Dynamic Power Control Clustering Wireless Sensor Networks based on Multi-Packet Reception.
Abstract Views :157 |
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Authors
P. Sasikumar
1,
Shilpa
1
Affiliations
1 School of Electronics Engineering, VIT University, Vellore, IN
1 School of Electronics Engineering, VIT University, Vellore, IN
Source
Indian Journal of Science and Technology, Vol 9, No 37 (2016), Pagination:Abstract
Objectives: A new method of cluster head election based on Energy Evaluation Factor (EEF) using multi-packet reception technology is proposed in clustering the Wireless Sensor Networks (WSN) to improve the performance and makes the network efficient and increases lifespan of the network. Methods: First EEF is calculated initially for clustering the WSN, the transmission power ranges of the CH elected in each group is calculated and adjusted considering the count of Cluster Head (CH) in elected in the area of interest as second, and thirdly we determine the distance from the sink to CH and its residual energy to implement interference cancellation algorithm in sink using transmission power levels. Findings: Simulation results show that this power control strategy can reduce the energy consumption of sensor nodes and increase network throughput, which can greatly improve network lifetime. Improvements: The authors believe that their findings will be useful guidelines for moving forward with successive interference cancellation research in WSNs.Keywords
Cluster Head (CH), Multi-Packet Reception (MPR), Signal to Interference Noise Ratio (SINR), Successive Interference Cancellation (SIC).- Computational Tools; Indispensable Armamentarium of Medical Biotechnology
Abstract Views :234 |
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Authors
Affiliations
1 Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan - 173234, Himachal Pradesh, IN
1 Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan - 173234, Himachal Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 9, No 32 (2016), Pagination:Abstract
Objective: Computational infrastructure of medical biotechnology provides insight into elements of genomics, proteomics for understanding diseases and biological systems in a more comprehensive and systematic way. The present study exclusively focuses on role of computational and bioinformatics tools employed in troubleshooting heterogeneous data of biology origin. Method and Analysis: Methodology adopted for study included analysis of online literature through Google Scholar, Pub-med, and Science Direct by searching with comprehensive input like computational tools, biotechnology, proteomics, genomics, drug design and discovery, metagenomics to include all relevant research/review articles within period from 1980 to 2016. Collection, inclusion and exclusion of published articles, review and reports were critically assessed and discussed within line of available databases. Furthermore, bibliography of relevant research articles was taken into consideration. Findings: Major conventional biological databases i.e., National Centre for Biotechnology Information (NCBI) and its subset PubMed, not only provide and exchange biological sequence information but also allow comprehensive analysis for sequence alignment and comparisons to find out disease biomarkers like Single Nucleotide Polymorphisms (SNPs). Likewise, other computational tools and servers are developed to be specific for organism, disease, biological pathway, microbial resistance and drug design. Use of currently available computational techniques provides rapid cross-reference search with higher accession of the sequences with statistical approach. However, a significant challenge in this field is to organize and provide user access, readability and skill sets to heterogeneous data repositories like databases and web servers as well as to keep data privacy. These temporal processes significantly enhanced the vision and understanding about cryptic biological processes. Novelty/Improvement: Present study exclusively targets computational tools employed in deciphering complex biological systems through use of algorithms and software which made available large data repositories in public domain. Current study will enhance and compile amalgam of computational and bioinformatics pipelines engaged in vast perspectives of basic and applied biology.Keywords
Biotechnology, Bioinformatics, Computational Tools, Genomics, Proteomics, Web-Servers.- A Review of Amplify and Forward Bidirectional Relaying with Channel Estimation Error and Co- Channel Interference
Abstract Views :140 |
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Authors
Affiliations
1 School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara − 144402, Jalandhar, Punjab, IN
1 School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara − 144402, Jalandhar, Punjab, IN