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Sukumaran, Dr. S.
- Performance of Greedy Algorithm for Detecting the Void Problem and Routing in Wireless Sensor Networks
Authors
1 Department of Computer Science, Erode Arts & Science College (Autonomous), IN
Source
Wireless Communication, Vol 11, No 12 (2019), Pagination: 204-207Abstract
Routing protocols plays a very significant part to produce interruption less and efficient communication between source and destination nodes. The performance, service and reliability of a network mostly depend on the selection of good routing protocol. The void problem causing the routing failure is the main challenge of the greedy routing in the wireless sensor networks. The topology of a remote sensor system changes as a few sensors come up short on force, fall flat or Join the system; which might bring about loss of information or the velocity of exchange of information backs off. This issue is solved using Greedy Algorithm and the Hop Count Reduction (HCR) plan is used as a short-listening so as to slice procedure to decrease the steering bounces to the neighbor's movement. The GAR protocol is a new protocol proposed here to guarantee the delivery of packets and excessive consumption of control overheads is resolved. The unreachability problem (i.e., void problem) that exists in the greedy routing algorithms has been studied for the wireless sensor networks.
Keywords
Greedy Routing, Void Problem, GAR Protocol, Wireless Sensor Network.
- An Efficient Vector Quantization Based Image Compression using Fruit Fly Algorithm
Authors
1 Department of Computer Science, Erode Arts and Science College, Erode, Tamil Nadu, IN
Source
Digital Signal Processing, Vol 12, No 1 (2020), Pagination: 16-19Abstract
Image compression is a searing research topic because of the large-scale increase in multimedia applications. The goal of the image compression is not only to reduce the quantity of bits needed to represent the images but also to get used to the image quality in accordance with the users’ requirements. The existing methodology CSGRVQ is evaluated by the performance of the parameter. Fruity Fly (FF) optimization algorithm proposed to further improving the FF-GRVQ. Extensive experiment demonstrates our proposed FF-GRVQ algorithm outperforms existing algorithm in term of quantization accuracy and computation accuracy.
Keywords
VQ, Fruit Fly, Image Compression, GRVQ- Text Mining Preprocessing Techniques and its Significance based on the Dataset
Authors
1 Department of Computer Applications Velalar College of Engineering and Technology, Erode, Tamilnadu, IN
Source
Fuzzy Systems, Vol 12, No 1 (2020), Pagination: 13-15Abstract
Social Network can be termed as a network of social interactions and personal relationships. The most popular social networks include Facebook, Google+ and Twitter. The content shared in such networks is usually unstructured text. Nowadays, various algorithms are being generated and analyzed to understand and extract meaningful inferences from such unstructured data. In this survey, we have the tendency to review the text mining techniques and analyze combination of those techniques to get varied textual patterns from the social networking sites. Here are some of the techniques used in preprocessing.