Name
Abstract | ||
|---|---|---|
With the advance of computer and communication technologies, wireless sensor networks (WSNs) are increasingly used in many aspects of our daily life. However, since the battery lifetime of WSN nodes is restricted, the WSN lifetime is also limited. Therefore, it is crucial to determine this limited lifetime in advance for preventing service interruptions in critical applications. This paper proposes a feasible static analysis approach to estimate the worst-case lifetime of a WSN. Assuming known routes with a given sensor network topology and S-MAC as the underlying MAC protocol, we statically estimate the lifetime of each sensor node with a fixed initial energy budget. These estimations are then compared with the results obtained through simulation which run with the same energy budget on each node. Experimental results of our research on TinyOS applications indicate that our approach can safely and accurately estimate the worst-case lifetime of WSNs. To the best of our knowledge, our work is the first one to estimate the worst-case lifetime of WSNs through static analysis method. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/PCCC.2009.5403808 | IPCCC |
Keywords | Field | DocType |
wsns,s-mac protocol,tinyos applications,static analysis,service interruption prevention,wsn worst-case lifetime estimation,access protocols,wireless sensor networks,s-mac,worst-case lifetime,communication technology,sensor network,energy budget,wireless sensor network | Sensor node,Key distribution in wireless sensor networks,Computer science,Static analysis,Computer network,Real-time computing,Battery (electricity),Wireless sensor network | Conference |
Volume | Issue | ISSN |
4 | 2 | 1097-2641 |
ISBN | Citations | PageRank |
978-1-4244-5737-3 | 11 | 0.77 |
References | Authors | |
10 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Liu | 1 | 38 | 6.46 |
| Wei Zhang | 2 | 163 | 11.75 |
| Kemal Akkaya | 3 | 2825 | 178.70 |