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| Content Provider | Springer Nature Link |
|---|---|
| Author | Huang, Xiaoxia Fang, Yuguang |
| Copyright Year | 2007 |
| Abstract | Sensor nodes are densely deployed to accomplish various applications because of the inexpensive cost and small size. Depending on different applications, the traffic in the wireless sensor networks may be mixed with time-sensitive packets and reliability-demanding packets. Therefore, QoS routing is an important issue in wireless sensor networks. Our goal is to provide soft-QoS to different packets as path information is not readily available in wireless networks. In this paper, we utilize the multiple paths between the source and sink pairs for QoS provisioning. Unlike E2E QoS schemes, soft-QoS mapped into links on a path is provided based on local link state information. By the estimation and approximation of path quality, traditional NP-complete QoS problem can be transformed to a modest problem. The idea is to formulate the optimization problem as a probabilistic programming, then based on some approximation technique, we convert it into a deterministic linear programming, which is much easier and convenient to solve. More importantly, the resulting solution is also one to the original probabilistic programming. Simulation results demonstrate the effectiveness of our approach. |
| Starting Page | 465 |
| Ending Page | 478 |
| Page Count | 14 |
| File Format | |
| ISSN | 10220038 |
| Journal | Wireless Networks |
| Volume Number | 14 |
| Issue Number | 4 |
| e-ISSN | 15728196 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2007-01-04 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Quality of service Routing Constrained optimization Wireless sensor network Business Information Systems Electronic and Computer Engineering Computer Communication Networks Communications Engineering, Networks |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Information Systems Electrical and Electronic Engineering |
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