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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hsung-Pin Chang Shun-Chih Hsu |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Computer Science and Engineering, National Chung-Hsing University, 250, Kuo-Kuang Road, Taichung City 40227, Taiwan (Hsung-Pin Chang; Shun-Chih Hsu) |
| Abstract | We propose a hybrid intelligent protocol named as CEEP which results in a cross-layered style without creating any extra interfaces for information to provide energy efficiency in sink-oriented wireless sensor networks. Congestion mitigating can serve as a basis for such an efficient protocol on the sensor nodes which are designated to collect and transmit information toward the base station. At the mean time, the entire network life time is extended by improving the energy consumption on each sensor node over the network. The results show that CEEP can boost network fidelity by adapting proactive and reactive routing protocols under heavy traffic and achieve power efficiency for mobile communications under light traffic by determining the smart sleep-wakeup schedules of the sensor nodes. Thereafter, communications with such embedded operation have provided sensor devices an integrated technology to efficiently transceive data packets in sink-oriented wireless sensor networks. |
| Starting Page | 57 |
| Ending Page | 60 |
| File Size | 229584 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467325875 |
| e-ISBN | 9781467325882 |
| DOI | 10.1109/ISIC.2012.6449707 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-14 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Routing protocols Routing Wireless sensor networks Media Access Protocol Energy efficiency Ad hoc networks congestion hybrid cross-layer routing protocol mobile communications sensor network sink-oriented power efficiency |
| Content Type | Text |
| Resource Type | Article |
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