Title :
Central Processing Point Deployment for e-Healthcare Services Using Wireless Networks
Author :
Majedi, Nick ; Khawaja, Shaharyar ; Naeem, Muhammad ; Anpalagan, Alagan
Author_Institution :
Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada
Abstract :
In this paper, we present an approach to jointly minimize energy consumption of wireless transmitters and harmful interference on sensitive medical devices, and optimize the central controller placement for collecting data from transmitters. In particular, a multiobjective nonconvex mixed-integer nonlinear programming problem is formulated to optimize transmit power of wireless users and central processing point deployment along with guaranteeing minimized electromagnetic interference to comply with the immunity level of medical devices. To solve this problem, an important step is to convexify it, following which, we propose the use of a standard branch-and-bound algorithm to solve it. The solution is implemented in MATLAB using optimization interface Toolbox. We analyze the results numerically and consider different cases within a single floor of a hospital and a few scenarios for a two-storey hospital building. Our results show that the proposed approach offers improvement in throughput and guaranteed immunity for medical devices.
Keywords :
biomedical communication; concave programming; health care; integer programming; interference suppression; linear programming; radio networks; radio transmitters; radiofrequency interference; tree searching; MATLAB; Toolbox optimization interface; branch-and-bound algorithm; central controller placement optimization; central processing point deployment; data collection; e-healthcare services; electromagnetic interference minimization; energy consumption minimization; harmful interference; immunity level; multiobjective nonconvex mixed-integer nonlinear programming problem; sensitive medical devices; transmit power optimization; wireless networks; wireless transmitters; Hospitals; Medical diagnostic imaging; Monitoring; Sensors; Wireless communication; Wireless sensor networks; Branch-and-bound algorithm; CPP deployment; e-Health; energy minimization;
Journal_Title :
Electrical and Computer Engineering, Canadian Journal of
DOI :
10.1109/CJECE.2015.2393631