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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jinming Chen Xiaobing Wu Guihai Chen |
| Copyright Year | 2008 |
| Description | Author affiliation: State Key Lab. for Novel Software Technol., Nanjing Univ., Nanjing (Jinming Chen; Xiaobing Wu; Guihai Chen) |
| Abstract | In this paper, we propose a reliable and energy-efficient routing algorithm for underwater wireless sensor networks (UWSNs). We first use a sphere energy depletion model to analyze the energy consumption of nodes in UWSNs. We then extend the model by considering the node mobility in UWSNs. Our analysis is in accordance with the common view that although water flows might cause the underwater environment more dynamic, this instability can actually improve energy-efficiency. However, the nodes closer to the sink still tend to die early, causing network partition around the sink. Accordingly, we propose a Reliable and Energy BAlanced Routing algorithm (REBAR). We explore the tradeoff between packet delivery ratio and energy efficiency. We design an adaptive scheme for setting data propagation range in order to balance the energy consumption throughout the network. Multi-path routing is used to provide redundancy. We further extend REBAR to deal with possible routing voids in the network which could be common in UWSNs. Simulation results show that our protocol outperforms existing VBF-based approaches in terms of reliability and network lifetime. |
| Starting Page | 349 |
| Ending Page | 355 |
| File Size | 199599 |
| Page Count | 7 |
| File Format | |
| ISBN | 9780769534497 |
| DOI | 10.1109/GCC.2008.12 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless sensor networks Energy consumption Protocols Software algorithms Laboratories routing algorithm Broadcasting Routing Grid computing Energy efficiency Computer networks underwater wireless sensor networks |
| Content Type | Text |
| Resource Type | Article |
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