A power harvesting, dynamic and reliable wireless body area networks model deployment for health care applications

This paper presents our conducting research and describes a new optimal deployment model for medical wireless body area network (WBAN) sensor devices (without mobility) and the relevant possible trade-offs between coverage, connectivity and network life time. We also integrate the effect of interference in wireless medium, and try to devise many-to-one and many-to-many model, that minimize the interference throughout the network and thus increase signal quality of wireless communication. The decrease in interference also facilitates energy efficiency, by increasing reliability, i.e. success ratio of wireless links. Topologies generated from our proposed model exhibit minimum energy consumption at maximum sensing coverage. The results show that significant improvements of initial deployments using feasible and cost-efficient solutions are possible. Our model leads to significantly optimized initial network deployments which can be subsequently used with other existing optimization techniques in literature. Overall operational lifetime and sensing coverage of WBSNs are strongly improved by our suggested deployment model.

[1]  Brian J. d'Auriol,et al.  An Integrated Sleep-Scheduling and Routing Algorithm in Ubiquitous Sensor Networks Based on AHP , 2007, IEICE Trans. Commun..

[2]  Konstantinos Kalpakis,et al.  Efficient algorithms for maximum lifetime data gathering and aggregation in wireless sensor networks , 2003, Comput. Networks.

[3]  Thomas F. La Porta,et al.  Movement-assisted sensor deployment , 2004, IEEE INFOCOM 2004.

[4]  Chris Van Hoof,et al.  Bio-Medical Application of WBAN: Trends and Examples , 2011, Bio-Medical CMOS ICs.

[5]  Deborah Estrin,et al.  Controllably mobile infrastructure for low energy embedded networks , 2006, IEEE Transactions on Mobile Computing.

[6]  Brian J. d'Auriol,et al.  Optimal Deployment of Mobile Sensor Networks and Its Maintenance Strategy , 2007, GPC.

[7]  Ingrid Moerman,et al.  A Comprehensive Survey of Wireless Body Area Networks , 2012, Journal of Medical Systems.

[8]  Klara Nahrstedt,et al.  A utility-based distributed maximum lifetime routing algorithm for wireless networks , 2005, IEEE Transactions on Vehicular Technology.

[9]  Max Q.-H. Meng,et al.  Rate Control to Reduce Bioeffects in Wireless Biomedical Sensor Networks , 2006, 2006 3rd Annual International Conference on Mobile and Ubiquitous Systems - Workshops.

[10]  Jie Wu,et al.  Scan-Based Movement-Assisted Sensor Deployment Methods in Wireless Sensor Networks , 2007, IEEE Transactions on Parallel and Distributed Systems.

[11]  Anantha Chandrakasan,et al.  Low-power wireless sensor networks , 2001, VLSI Design 2001. Fourteenth International Conference on VLSI Design.

[12]  Sungyoung Lee,et al.  Coverage-Driven Self-Deployment for Cluster Based Mobile Sensor Networks , 2006, The Sixth IEEE International Conference on Computer and Information Technology (CIT'06).

[13]  Deborah Estrin,et al.  ASCENT: adaptive self-configuring sensor networks topologies , 2004, IEEE Transactions on Mobile Computing.

[14]  Pramod K. Varshney,et al.  A distributed self spreading algorithm for mobile wireless sensor networks , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[15]  R. K. Ursem.  Multi-objective Optimization using Evolutionary Algorithms , 2009 .

[16]  Zhen Liu,et al.  Maximum lifetime routing in wireless ad-hoc networks , 2004, IEEE INFOCOM 2004.

[17]  YangYang,et al.  Wireless sensor and actuator networks , 2010 .

[18]  Christos G. Cassandras,et al.  On maximum lifetime routing in Wireless Sensor Networks , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[19]  D.B. Jourdan,et al.  Layout optimization for a wireless sensor network using a multi-objective genetic algorithm , 2004, 2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514).

[20]  Lui Sha,et al.  Real-time communication and coordination in embedded sensor networks , 2003, Proc. IEEE.

[21]  Frank Oldewurtel,et al.  Impact of correlation in node locations on the performance of distributed compression , 2009, 2009 Sixth International Conference on Wireless On-Demand Network Systems and Services.

[22]  Zhi-Quan Luo,et al.  A Distributed Algorithm with Linear Convergence for Maximum Lifetime Routing in Wireless Sensor Networks , 2005 .

[23]  Leonidas J. Guibas,et al.  A dual-space approach to tracking and sensor management in wireless sensor networks , 2002, WSNA '02.

[24]  Paolo Santi.  Topology control in wireless ad hoc and sensor networks , 2005 .