BR2OM: RSSI-based Refinement and Optimization Mechanism for Wireless Sensor Networks
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| Title | BR2OM: RSSI-based Refinement and Optimization Mechanism for Wireless Sensor Networks |
| Authors | |
| Abstract | There are many RSSI-based localization algorithms for wireless sensor networks (WSN). This paper proposes a RSSI-based refinement of the optimization mechanism (BR2OM) based on multi-dimensional scaling (MDS). The basic idea of the algorithm is that establishing sub-areas for localization to ensure the processing of localization can be completed successfully. The sub-area is divided by cluster which is a tree structure. At the same time, the mechanism filters the Received Signal Strength Indicator (RSSI) based on the link quality indication (LQI) to reduce the error number of RSSI. The RSSI is corrected and refined by using cosine rule and the limitation of communication range. The relationship of relative position among blind nodes is obtained by adopting classical MDS algorithm. The relative position is finally converted into the global coordinate. The experiment result shows that the algorithm has many advantages, such as high accuracy, simple condition, and moderate cost. The algorithm satisfies the requirement of large-scale network applications and also is valuable to the positioning refined problems under circumstance of the non-line-of-sight. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2009-12-01 |
| Source | Journal of Networks Vol 4, No 10 (2009): Special Issue: Selected Papers of the IEEE International Conference on Compute |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |