Open Access
Issue
MATEC Web Conf.
Volume 100, 2017
13th Global Congress on Manufacturing and Management (GCMM 2016)
Article Number 02033
Number of page(s) 5
Section Part 2: Internet +, Big data and Flexible manufacturing
DOI https://doi.org/10.1051/matecconf/201710002033
Published online 08 March 2017
  1. G.Z. Yang, Body Sensor Networks, Springer, (2006). [CrossRef] [Google Scholar]
  2. A. Pantelopoulos, N.G. Bourbakis, A survey on wearable sensor-based systems for health monitoring and prognosis, IEEE Transaction on System, Man, and Cybernetics 40, (2010) [Google Scholar]
  3. M. Deylami, E. Jovanov, Performance Analysis of Coexisting IEEE 802.15.4-Based Health Monitoring WBANs, 34th Annual International Conference of the IEEE EMBS, (2012). [Google Scholar]
  4. W. Lusheng, C. Goursaud, N. Nikaein, etc, Cooperative Scheduling for Coexisting Body Area Networks, IEEE Trans. Wireless Commun., (2012). [Google Scholar]
  5. F. Martelli, Modeling Query-Based Wireless CSMA NetworksThrough Stochastic Geometry, IEEE Trans. Veh. Technol., 63, (2014). [Google Scholar]
  6. B. Cho, K. Koufos, Bounding the Mean Interference in Matern Type II Hard-Core Wireless Networks, IEEE Wireless Commun. Letters, 2, (2013). [Google Scholar]
  7. A. Busson, G. Chelius, J. Gorce, Interference Modeling in CSMA Multi-Hop Wireless Networks. (2009). [Google Scholar]
  8. E. Hesham, H. Ekram, C. Sergio, Spectrum-efficient multi-channel design for coexisting IEEE 802.15.4 networks:a stochastic geometry approach. IEEE J. Sel. Areas Commun, 13, (2014). [Google Scholar]
  9. F. Martelli, C. Buratti, R. Verdone, Modeling query-based wireless CSMA networks through stochastic geometry. IEEE Trans. Veh. Technol., 63, (2014). [Google Scholar]
  10. F. Baccelli, B. Blaszczyszyn. Stochastic geometry and wireless networks, Volume II: applications. Paris, Now Press, (2005). [Google Scholar]
  11. E. Hesham, H. Ekram, A Modified Hard Core Point Process for Analysis of Random CSMA Wireless Networks in General Fading Environments, IEEE Trans.Wireless Commun., 61, (2013). [Google Scholar]
  12. S. Hamed, M. Pakravan, Analytical Modeling and Performance Analysis of Flooding in CSMA-Based Wireless Networks, IEEE Trans. Veh. Technol., 61, (2013). [Google Scholar]
  13. S. Chiu, D. Stoyan, Stochastic geometry and its applications. Third Edition. UK, (2013). [Google Scholar]
  14. P. Yiyang, L. Yingchang, K. Chan, Energy-Efficient Design of Sequential Channel Sensing in Cognitive Radio Networks: Optimal Sensing Strategy, Power Allocation, and Sensing Order, IEEE J. Sel. Areas Commun., 29, (2011). [Google Scholar]
  15. J. Akhtman, L. Hanzo, Power versus bandwidth efficiency in wireless communications: the economic perspective. In: Proceeding of Proc. IEEE VTC-Fall09, (2009). [Google Scholar]
  16. Y. Fengji, S. Yi, B. Sikdar, Scaling of Spatial Reuse and Saturation Throughput in a Class of MAC Protocols, IEEE Trans.Wireless Commun., 10, (2007). [Google Scholar]
  17. W. Xiaofei, T. Berger, Spatial channel reuse in wireless sensor networks, Wireless Netw., 14, (2008). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.