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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Prabakaran, N. Geetha, K. Janani, K. |
| Copyright Year | 2012 |
| Description | Author affiliation: M.E Pervasive Computing Technologies, Anna university, Tiruchirappalli, India (Prabakaran, N.) || TRP Engg. College (SRM group), Tiruchirappalli, India (Geetha, K.) || Tiruchirappalli, India (Janani, K.) |
| 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 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. |
| Starting Page | 694 |
| Ending Page | 698 |
| File Size | 6147976 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467302135 |
| e-ISBN | 9788190904223 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-03-30 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Pillay Engineering College |
| Subject Keyword | Wireless sensor networks Gold Sink Artificial neural networks Propulsion Lead Routing protocols Node level Congestion Servers Congestion Control Data propelling |
| Content Type | Text |
| Resource Type | Article |
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