Scheduling data transmissions in wireless sensor networks used for position tracking

Györke, Péter; Department of Measurement and Information Systems, Budapest University of Technology and Economics

Pataki, Béla; Department of Measurement and Information Systems, Budapest University of Technology and Economics

Budapest University of Technology and Economics (BME)

2014-04-07

Wireless Sensor Networks, Energy Harvesting, Hidden Markov Models, Ambient Assisted Living

In wireless sensor networks developed for ambient assisted living (AAL) applications, power supply is one of the most challenging problems. In the case when measurements have low cost; a method is proposed for decreasing the time of communication by handling the measured data locally. In AAL applications the position tracking of a person is an essential task. Position tracking with motion sensors requires high number of messages and most of them are caused by local movements. Our suggestion is to eliminate these messages. The method is based on Hidden Markov Model of the motions of an observed person. The model provides information based on the estimated global state of the system, which is the position of the person in the space of interest. This state can be forwarded to the nodes so they locally perform the filtering to save valuable energy by not transmitting messages which are not relevant.

angol

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

application/pdf

https://pp.bme.hu/eecs/article/view/2081

10.3311/PPee.2081

Periodica Polytechnica Electrical Engineering and Computer Science; Vol. 58, No. 1 (2014); 15-22

https://pp.bme.hu/eecs/article/view/2081/6337

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). As soon as the paper is accepted, finally submitted and edited, the npaper will appear in the "OnlineFirst" page of the journal, thus from this point no other internet-based publication is necessary.