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Geetha, K.
- Data Propelling Scheme for Node Level Congestion Control in WSNs
Abstract Views :162 |
PDF Views:2
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Affiliations
1 Pervasive Computing Technologies, Anna University, Tiruchirappalli, IN
2 TRP Engineering College (SRM Group), Tiruchirappalli, IN
3 Trichirappalli, IN
1 Pervasive Computing Technologies, Anna University, Tiruchirappalli, IN
2 TRP Engineering College (SRM Group), Tiruchirappalli, IN
3 Trichirappalli, IN
Source
Data Mining and Knowledge Engineering, Vol 2, No 1 (2010), Pagination:Abstract
The rising data centric Wireless sensor network (WSN) is recently emerging technology, which offers the key to isotonic situation in an un-interruptible environment application. It has the ability of keen observation and ties the information with outside world. WSN tenuously collects the dense amount of data, further communicates with the sink through various intermediate nodes. It delivers reckonable response, when unpredictable variation occurs in the environment. Rushing of the enormous data directs to overcrowd in the routing path, which affects vibrant strength of the network. Many of the existing schemes focused on link level congestion. We propose data propelling scheme, which discusses the congestion free environment in node level congestion. Once congestion notification bit is set, new data buffer node awakened, which is near-by to congested node. After its activation, all the data are re-directed to the data buffer and retrieved back in need even at unusual changes occurred further CN bit is cleared. Aspire is, make processing rate which is to be equal to transmitting rate to avoid funneling effect. Our scheme is not consuming too much of energy of new data buffers and resources. It annotates that nodes are intended for working for long time without human intervention. Further our scheme is concentrating on congestion free critical environmental applications, otherwise which drastically decrease the performance of the network.Keywords
Data Propelling, Congestion Control, Node Level Congestion, Sink.- Review on Web Usage Mining and Data Preprocessing Techniques
Abstract Views :188 |
PDF Views:4
Authors
Affiliations
1 Department of Information Technology, Dr. N.G.P. Arts and Science College, IN
1 Department of Information Technology, Dr. N.G.P. Arts and Science College, IN
Source
Data Mining and Knowledge Engineering, Vol 10, No 1 (2018), Pagination: 12-14Abstract
The popularity of World Wide Web is increasing day by day by allowing peoples to share/ transfer their information to multiple sites. WWW becomes the most popular source for containing most information from the various peoples from different locations. Search engines are most useful tool which enables users to retrieve their required contents from the websites. However retrieval of more related contents for the users would be more difficult task which is resolved by using the web mining concepts. Web mining is nothing but integration of data mining techniques with the WWW to retrieve the most useful information required by the users. There are various methodologies are proposed by different authors to perform web mining in the effective way. In this analysis work, different methodologies proposed by various authors are discussed in terms of their working procedure along with their merits and demerits.Keywords
Web Mining, Useful Information, Data Mining, World Wide Web, Search Engine.References
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