Energy-efficient wireless hospital sensor networking for remote patient monitoring

Hospitalized patients are often attached by numerous cables to medical monitoring equipment, which obstructs their mobility. Wireless patient monitoring technology can thus facilitate patient mobility and increase their autonomy. A body area network (BAN) is a base technology used for wireless patient monitoring which consists of a set of wearable medical sensor nodes (SNs) placed in, on, or around a patient's body. BANs form an integrated large-scale wireless hospital sensor network (WHSN), for which we utilize a smartphone as a master node (MN) due to its more advanced computing capabilities and connectivity as compared with other mobile devices. Since smartphones are battery-powered, however, the MN requires efficient power utilization. Large-scale WHSNs, in which different types of medical data are generated, demand smartphone MNs that are able to handle various medical data and utilize cellular network resources, due to their limited bandwidth. In this paper, we present a scheme that maximizes the lifetime of the whole integrated WHSN and of each BAN by first forming clusters consisting of MNs and then constructing minimum spanning trees (MSTs) with these clusters around access points (APs) to limit the energy consumption of the medical SNs. The effectiveness of our lifetime optimization scheme for BANs in an integrated WHSN is demonstrated by simulation results.

[1]  M. Ammad-uddin,et al.  A Survey of Challenges and Applications of Wireless Body Area Network (WBAN) and Role of a Virtual Doctor Server in Existing Architecture , 2012, 2012 Third International Conference on Intelligent Systems Modelling and Simulation.

[2]  Xiaolei Dong,et al.  Securing m-healthcare social networks: challenges, countermeasures and future directions , 2013, IEEE Wireless Communications.

[3]  Wei Song,et al.  Heterogeneous Multi-Hop Transmission of Compressed ECG Data from Wireless Body Area Network , 2011, 2011 IEEE International Conference on Communications (ICC).

[4]  Xiaofei Wang,et al.  Cloud-enabled wireless body area networks for pervasive healthcare , 2013, IEEE Network.

[5]  Zhihua Wang,et al.  An Energy-Efficient ASIC for Wireless Body Sensor Networks in Medical Applications , 2010, IEEE Transactions on Biomedical Circuits and Systems.

[6]  Jean-Pierre Cances,et al.  Indoor optical wireless system dedicated to healthcare application in hospital , 2010, 2010 7th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP 2010).

[7]  Ossama Younis,et al.  HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks , 2004, IEEE Transactions on Mobile Computing.

[8]  Benton H. Calhoun,et al.  Body Area Sensor Networks: Challenges and Opportunities , 2009, Computer.

[9]  J. Delsing,et al.  Mobile medical applications made feasible through use of eis platforms , 2003, Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412).

[10]  Joel J. P. C. Rodrigues,et al.  Body Sensor Network Mobile Solutions for Biofeedback Monitoring , 2011, Mob. Networks Appl..

[11]  Jerker Delsing,et al.  A heterogeneous sensor network architecture for highly mobile users , 2010 .

[12]  Hongyi Wu,et al.  Mobile telemedicine sensor networks with low-energy data query and network lifetime considerations , 2006 .

[13]  Aleksandar Milenkovic,et al.  System architecture of a wireless body area sensor network for ubiquitous health monitoring , 2005 .

[14]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[15]  Alf Johansson,et al.  An ANT Based Wireless Body Sensor Biofeedback Network for Medical E-Health Care , 2011, 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing.

[16]  Luís A. Castro,et al.  Activity Recognition for Context-aware Hospital Applications: Issues and Opportunities for the Deployment of Pervasive Networks , 2007, Mob. Networks Appl..

[17]  Dickson K. W. Chiu,et al.  Efficient and robust large medical image retrieval in mobile cloud computing environment , 2014, Inf. Sci..

[18]  Mihaela Cardei,et al.  Web-based heterogeneous WSN integration using pervasive communication , 2011, 30th IEEE International Performance Computing and Communications Conference.

[19]  Ray-I Chang,et al.  UPHSM: Ubiquitous personal health surveillance and management system via WSN agent on open source smartphone , 2011, 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services.

[20]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[21]  Athanasios V. Vasilakos,et al.  Body Area Networks: A Survey , 2010, Mob. Networks Appl..

[22]  Victor C. M. Leung,et al.  Enabling technologies for wireless body area networks: A survey and outlook , 2009, IEEE Communications Magazine.

[23]  Eva Onaindia,et al.  Context-Aware Multi-Agent Planning in intelligent environments , 2013, Inf. Sci..

[24]  Kyunghan Lee,et al.  On the Levy-Walk Nature of Human Mobility , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[25]  E. Alasaarela,et al.  Wireless sensor and data transmission needs and technologies for patient monitoring in the operating room and intensive care unit , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[26]  Jianfeng Wang,et al.  Applications, challenges, and prospective in emerging body area networking technologies , 2010, IEEE Wireless Communications.

[27]  Hongyi Wu,et al.  Mobile telemedicine sensor networks with low-energy data query and network lifetime considerations , 2006, IEEE Transactions on Mobile Computing.

[28]  Lui Sha,et al.  Design and analysis of an MST-based topology control algorithm , 2003, IEEE Transactions on Wireless Communications.

[29]  Ilias Maglogiannis,et al.  An overview of body sensor networks in enabling pervasive healthcare and assistive environments , 2010, PETRA '10.