Abstract
There are many RSSI-based localization algorithms for wireless sensor networks (WSN). T his paper proposes a RSSI-based refinement of the optimization mechanism (BR 2 O M) 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 th e link quality indication ( LQI ) to reduce the error number of RSSI. The RSSI is c orrect ed and refin ed by using cosine rule and the limitation of communication range . T he relationship of relative position among blind node s is obtained by adopt ing 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 satisf ies the requirement of large-scale network applications and also is valua ble to the positioning refined problems under circumstance of the non-line-of-sight.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
