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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rui Huang Zaruba, G.V. Huber, M. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Texas Univ., Arlington, TX, USA (Rui Huang; Zaruba, G.V.; Huber, M.) |
| Abstract | In ad hoc networks, links are established on the fly as mobile nodes move in and out of each other's transmission range. Due to this mobility, routes can be disrupted while in service. Availability of a good estimation of link longevity between neighboring nodes could permit the selection of a more stable route, thus enabling a better enforcement of quality of service (QoS) contracts. In this paper, we propose three link longevity estimators that could be embedded into mobile nodes. In our approach, link longevity estimates do not require knowledge of the mobility patterns/models of nodes. The foundation of all three designs lies in extended Kalman filtering, where a linear process model is implemented to represent the state transition, while a non-linear measurement model is included to account for the received signal strength indication measurements. We provide with the mathematical background for our estimators and their input/output vectors, and show various performance metrics using extensive simulations. We conclude that our filters provide good estimates for the remaining up-time of wireless links. |
| Starting Page | 2819 |
| Ending Page | 2823 |
| File Size | 256604 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780379543 |
| ISSN | 10903038 |
| DOI | 10.1109/VETECF.2003.1286117 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-10-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Ad hoc networks Quality of service Availability Contracts Signal design Kalman filters Nonlinear filters Filtering Signal processing Vectors |
| Content Type | Text |
| Resource Type | Article |
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