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| Content Provider | ACM Digital Library |
|---|---|
| Author | Noda, Claro Boano, Carlo Alberto Voigt, Thiemo Alves, Mário Prabh, Shashi |
| Abstract | Reliability of communications is key to expand application domains for sensor networks. Since Wireless Sensor Networks (WSN) operate in the license-free Industrial Scientific and Medical (ISM) bands and hence share the spectrum with other wireless technologies, addressing interference is an important challenge. In order to minimize its effect, nodes can dynamically adapt radio resources provided information about current spectrum usage is available. We present a new channel quality metric, based on availability of the channel over time, which meaningfully quantifies spectrum usage. We discuss the optimum scanning time for capturing the channel condition while maintaining energy-efficiency. Using data collected from a number of Wi-Fi networks operating in a library building, we show that our metric has strong correlation with the Packet Reception Rate (PRR). This suggests that quantifying interference in the channel can help in adapting resources for better reliability. We present a discussion of the usage of our metric for various resource allocation and adaptation strategies. |
| Starting Page | 43 |
| Ending Page | 48 |
| Page Count | 6 |
| File Format | |
| ISSN | 15513688 |
| DOI | 10.1145/2095256.2095262 |
| Journal | ACM SIGBED Review (SIGBED) |
| Volume Number | 8 |
| Issue Number | 4 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2004-10-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Wireless sensor networks Channel quality Interference Dynamic resource adaptation Ism bands |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science 1700/1701 Engineering 2200/2201 |
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