DocumentCode :
3001500
Title :
Data Aggregation in Body Sensor Networks: A Power Optimization Technique for Collaborative Signal Processing
Author :
Ghasemzadeh, Hassan ; Jafari, Roozbeh
Author_Institution :
Dept. of Electr. Eng., Univeristy of Texas at Dallas, Richardson, TX, USA
fYear :
2010
fDate :
21-25 June 2010
Firstpage :
1
Lastpage :
9
Abstract :
Body sensor networks (BSNs) have proved their viability to greatly improve quality of medical care by providing continuous and in-home monitoring solutions. Highly constrained nature of the platform demands a design that efficiently utilizes limited resources of the system. Energy optimization techniques are especially desirable as the system lifetime is constrained by small batteries that power sensor nodes in a BSN. In this paper, we introduce a novel data-centering routing model to minimize communication energy, taking collaborative nature of signal processing for healthcare applications into consideration. Transmission energy for a path is determined as a compromise between the path length and the amount of data being transmitted along the path. Data produced by different nodes are aggregated to form packets of large size that consume smaller energy per bit. We formulate the problem as a minimum concave cost multicommodity flow problem and propose two approaches to find both optimal and approximate solutions. We evaluate performance of our energy minimization techniques on a variety of synthesized signal processing task graphs, as well as a real application for evaluating human postural control system. The results show an average of 35% energy saving with our proposed routing against a simple shortest path approach.
Keywords :
body sensor networks; graph theory; health care; medical signal processing; patient monitoring; telecommunication network routing; body sensor network; collaborative signal processing; communication energy; continuous monitoring; data aggregation; data-centering routing model; energy minimization; energy optimization; energy saving; healthcare; human postural control system; in-home monitoring; medical care; minimum concave cost multicommodity flow; path length; power optimization; power sensor node; shortest path approach; system lifetime; transmission energy; Batteries; Biomedical monitoring; Body sensor networks; Collaboration; Constraint optimization; Control system synthesis; Power system modeling; Routing; Sensor systems; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Mesh and Ad Hoc Communications and Networks (SECON), 2010 7th Annual IEEE Communications Society Conference on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-7150-8
Electronic_ISBN :
978-1-4244-7151-5
Type :
conf
DOI :
10.1109/SECON.2010.5508270
Filename :
5508270
Link To Document :
بازگشت