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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Low, K.S. Nguyen, H.A. Guo, H. |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Electr.&Electron. Eng., Nanyang Technol. Univ., Singapore (Low, K.S.; Nguyen, H.A.; Guo, H.) |
| Abstract | For many wireless sensor network applications, the localization of sensor nodes is an essential requirement. In this paper, a low cost localization system based on the measurements from a pedometer and communication ranging between neighboring nodes is presented. Unlike most of the existing methods that require good network connectivity, the proposed system works well in a sparse network. The localization information is obtained through a probability based algorithm that requires the solving of a nonlinear optimization problem. To obtain the optimum location of the sensor nodes, the particle swarm optimization (PSO) scheme that can be realized with a microcontroller for real time application is investigated in this paper. Experimental results show that the proposed approach yields good performance. |
| Starting Page | 1820 |
| Ending Page | 1825 |
| File Size | 405209 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424416653 |
| DOI | 10.1109/ISIE.2008.4677205 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-30 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Particle swarm optimization Wireless sensor networks Global Positioning System Sensor systems Costs Unmanned aerial vehicles Genetic algorithms Microcontrollers Energy consumption Biomedical monitoring |
| Content Type | Text |
| Resource Type | Article |
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