Cluster based sensor scheduling in a target tracking application with particle filtering
MetadataShow full item record
CitationÖzfidan, O., Bayazıt, U., & Çırpan, H. A. (2007). Cluster based sensor scheduling in a target tracking application with particle filtering. Paper presented at the 1741-1746. doi:10.1109/ISIE.2007.4374868
In multi-sensor applications management of sensors is necessary for the classification of data they produce and for the efficient use of sensors as well. One of the important aspects in sensor management is the sensor scheduling. By scheduling the sensors, serious reductions can be achieved in the cost of bandwidth, power, and computation. In this work a simple solution for the problem of sensor scheduling in a multi-sensor target tracking application is presented. Due to non-linearity of the problem itself, proposed solution is presented in the framework of non-linear Bayesian estimation.
Source2007 IEEE International Symposium on Industrial Electronics, Proceedings, Vols 1-8
Showing items related by title, author, creator and subject.
Bu çalışmada, uzaklık ölçer algılayıcılarla hedef takibi uygulamasında algılayıcı çizelgeleme problemi ele alınmıştır. Çok algılayıcılı uygulamalarda algılayıcıların yönetimi ürettikleri verilerin sınıflandırılması için ...
Clustering can be used as an effective technique to achieve both energy load balancing and an extended lifetime for a wireless sensor network (WSN). This paper presents a novel approach that first creates energy balanced ...
On the analysis of expected distance between sensor nodes and the base station in randomly deployed WSNs In this study, we focus on the analytical derivation of the expected distance between all sensor nodes and the base station (i.e., E[dtoBS]) in a randomly deployed WSN. Although similar derivations appear in the related ...