Abstract
Recent advances in wireless networked systems, intelligent low-power sensors and medical sensors, have led to the development and emergence of new embedded networks in the last years known as Wireless Body Area Networks (WBANs). These WBANs carry the promise of expanding the quality of life and care across a large variety of healthcare applications. In this chapter, we will review two fundamental mechanisms of WBANs including data dissemination and sensor deployment. A bi-objective nonlinear non-convex model based on a Min-Max formulation is proposed for deployment issue. On the other hand, a trade-off between energy consumption and the number of hops in the network was proposed for the purpose of data dissemination. The common objective of these two main proposals is saving energy and hence increasing network lifetime.
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References
Patel, M., Wang, J.: Applications, challenges and prospective in emerging body area networking technologies. IEEE Wireless Communications 17(1), 80–88 (2010)
Ullah, S., et al.: A comprehensive survey of Wireless Body Area Networks. Journal Med. Syst. (published online, August 2010)
Latre, B., Moerman, I., Dhoedt, B., Demeester, P.: Networking in Wireless Body Area Networks. In: 5th FTWPHD Symposium (2004)
Wang, Q., Hempstead, M., Yang, W.: A Realistic Power Consumption Model for Wireless Sensor Network Devices. In: IEEE Comm. Society Conference on Sensor, Mesh and Ad hoc Communications and Networks (2006)
Anastasi, G., et al.: Performance Measurements of Motes Sensor Networks. In: International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems (2004)
Chipcon AS. CC2420 2.4 GHz IEEE 802.15.4/ZigBee-ready RF Transceiver (2007), http://inst.eecs.berkeley.edu/cs150/ (retrieved October 2009)
Network Simulator 2 (n.d.), http://www.isi.edu/nsnam/ns/
Chipcon AS. CC1000 Single Chip Very Low Power RF Transceiver (2007), http://focus.ti.com/lit/ds/symlink/cc1000.pdf (retrieved October 2009)
Crossbow Technology MICA2 Motes, http://www.xbow.com (retrieved June 2009)
Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd Hawaii International Conference on System Sciences (2000)
Yang, S., Li, M., Wu, J.: Scan-Based Movement-Assisted Sensor Deployment Methods in Wireless Sensor Networks. IEEE Trans. on Parallel and Distributed Systems 18(8), 1108–1121 (2007)
Senouci, M.R., Abdelhamid, M., Assnoune, K.: Localized Movement-Assisted Sensor Deployment Algorithm for Hole Detection and Healing. IEEE Transactions on Parallel and Distributed Systems (May 29, 2013)
Oldewurtel, F., Riihijarvi, J., Mahonen, P.: Impact of Correlation in Node Locations on the Performance of Distributed Compression. In: Proceedings of the WONS, Snowbird, USA, pp. 135–142 (2009)
Özdemir, S., Attea, B.A., Khalil, Ö.A.: Multi-Objective Evolutionary Algorithm Based on Decomposition for Energy Efficient Coverage in Wireless Sensor Networks. Wireless Personal Communications 71(1), 195–215 (2013)
Deb, K.: Multi-Objective Optimization Using Evolutionary Algorithms. Wiley and Sons (2002) ISBN: 978-0-471-87339-6
Ren, H., Meng, M.Q.H.: Rate control to reduce bioeffects in wireless biomedical sensor networks. In: 3rd Annual International Conference on Mobile and Ubiquitous Systems - Workshops, San Jose, CA, pp. 1–7 (July 2006)
Zhou, G., He, T., Krishnamurthy, S., Stankovic, J.A.: Models and solutions for radio irregularity in wireless sensor networks. ACM Trans. Sen. Netw. 2(2), 221–262 (2006)
Ramos, H.S., Zhang, T., Liu, J., Priyantha, B., Kansal, A.: LEAP: A Low Energy Assisted GPS for Trajectory-Based Services. In: 13th ACM International Conference on Ubiquitous Computing (UbiComp), September 17. ACM (2011)
Jacquet, P., Muhlethaler, P., Minet, P., Qayyum, A., Laouiti, A., Clausen, T., Viennot, L., Adjih, C.: Optimized Link State Routing Protocol - Internet Engineering Task Force – Manet Group, RFC 3626 (2003)
IEEE 802.15.6WPAN Task Group 6 (TG6) – Body Area Networks, http://www.ieee802.org/15/pub/TG6.html
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Boudjit, S., Moungla, H. (2015). mHealth: WBANs’ Issues and Challenges. In: Adibi, S. (eds) Mobile Health. Springer Series in Bio-/Neuroinformatics, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-12817-7_33
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DOI: https://doi.org/10.1007/978-3-319-12817-7_33
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12816-0
Online ISBN: 978-3-319-12817-7
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