Name
Title | ||
|---|---|---|
Research of a resource-efficient, real-time and fault-tolerant wireless sensor network system. |
Abstract | ||
|---|---|---|
Memory optimization, energy conservation, real-time scheduling and fault tolerance are the essential research topics in the wireless sensor network (WSN). In this paper, a memory-efficient, energy-efficient, real-time and fault-tolerant WSN system LiveOS is designed and implemented. Compared to the other systems, LiveOS has several typical features. Firstly, the optimized Rate-Monotonic Scheduling (RMS) scheduling algorithm is implemented. By doing this, the memory cost of the multithreaded real-time operating system (RTOS) can be 47.3% optimized if compared to the traditional single-core node. Consequently, the RTOS becomes appropriate to run even on the memory-constrained WSN nodes. Secondly, the new research approach that addresses the WSN challenges by combining both the multi-core hardware technique and the software technique is applied in LiveOS. By means of the multi-core hardware support, the energy cost of LiveOS can be 35% optimized compared to the traditional single-core platform. Moreover, the real-time scheduling performance and the fault-tolerant ability of the WSN nodes can be optimized significantly. Due to the above features, LiveOS becomes the WSN system which has small memory footprint, long lifetime, high real-time scheduling performance and upstanding fault-tolerant ability. The evaluation on the different prototype nodes proves that LiveOS is appropriate to run on the resource-constrained WSN platforms and is competent to execute the outdoor real-time WSN applications. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.jisa.2016.05.009 | J. Inf. Sec. Appl. |
Keywords | Field | DocType |
Wireless sensor network,Memory optimization,Energy conservation,Real time,Fault tolerance | Energy conservation,Computer science,Scheduling (computing),Real-time operating system,Software,Fault tolerance,Memory footprint,Wireless sensor network,Distributed computing,Embedded system | Journal |
Volume | Issue | ISSN |
31 | C | 2214-2126 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Liu | 1 | 57 | 3.94 |
| Haiying Zhou | 2 | 87 | 13.25 |
| Shengwu Xiong | 3 | 189 | 53.59 |
| Kun Mean Hou | 4 | 45 | 15.51 |
| Christophe De Vaulx | 5 | 0 | 0.68 |
| Hongling Shi | 6 | 4 | 1.13 |