Table of Contents Author Guidelines Submit a Manuscript
Mobile Information Systems
Volume 2017, Article ID 1346416, 8 pages
https://doi.org/10.1155/2017/1346416
Research Article

Energy Efficient Cross-Layer Transmission Model for Mobile Wireless Sensor Networks

Electronics and Information School, Northwestern Polytechnical University, Xi’an, China

Correspondence should be addressed to Xin Yang; moc.621@911gnay_x

Received 17 October 2016; Revised 26 February 2017; Accepted 7 March 2017; Published 19 March 2017

Academic Editor: Jinglan Zhang

Copyright © 2017 Xin Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. Arifuzzaman, M. Matsumoto, and T. Sato, “An intelligent hybrid MAC with traffic-differentiation-based QoS for wireless sensor networks,” IEEE Sensors Journal, vol. 13, no. 6, pp. 2391–2399, 2013. View at Publisher · View at Google Scholar · View at Scopus
  2. S. Ping, A. Aijaz, O. Holland, and A.-H. Aghvami, “SACRP: a spectrum aggregation-based cooperative routing protocol for cognitive radio Ad-Hoc networks,” IEEE Transactions on Communications, vol. 63, no. 6, pp. 2015–2030, 2015. View at Publisher · View at Google Scholar · View at Scopus
  3. J. Wang, D. Li, G. Xing, and H. Du, “Cross-layer sleep scheduling design in service-oriented wireless sensor networks,” IEEE Transactions on Mobile Computing, vol. 9, no. 11, pp. 1622–1633, 2010. View at Publisher · View at Google Scholar · View at Scopus
  4. C.-C. Weng, C.-W. Chen, P.-Y. Chen, and K.-C. Chang, “Design of an energy-efficient cross-layer protocol for mobile ad hoc networks,” IET Communications, vol. 7, no. 3, pp. 217–228, 2013. View at Publisher · View at Google Scholar · View at Scopus
  5. L. Karim and N. Nasser, “Reliable location-aware routing protocol for mobile wireless sensor network,” IET Communications, vol. 6, no. 14, pp. 2149–2158, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. L. Zhang and Y. Zhang, “Energy-efficient cross-layer protocol of channel-aware geographic-informed forwarding in wireless sensor networks,” IEEE Transactions on Vehicular Technology, vol. 58, no. 6, pp. 3041–3052, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. X. Ji, Y. He, J. Wang, W. Dong, X. Wu, and Y. Liu, “Walking down the STAIRS: efficient collision resolution for wireless sensor networks,” in Proceedings of the IEEE Conference on Computer Communications (INFOCOM '14), pp. 961–969, IEEE, Toronto, Canada, April 2014. View at Publisher · View at Google Scholar
  8. J. Ben-Othman and B. Yahya, “Energy efficient and QoS based routing protocol for wireless sensor networks,” Journal of Parallel and Distributed Computing, vol. 70, no. 8, pp. 849–857, 2010. View at Publisher · View at Google Scholar · View at Scopus
  9. “IEEE Standard for Information Technology- Telecommunications and Information Exchange Between Systems-Local and Metropolitan Area Networks-Specific Requirements-Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications,” IEEE Std 802.11, 2007.
  10. X. Yang and L. Wang, “A multichannel transmitting and assistant nodes MAC protocol for mobile ad hoc networks,” in Proceedings of the IEEE Global Communication Conference (GLOBECOM '15), San Diego, Calif, USA, December 2015.
  11. V. Nguyen, O. T. T. Kim, T. N. Dang, and C. S. Hong, “Improving time slot acquisition through RSU's coordination for TDMA-based MAC protocol in VANETs,” in Proceedings of the 30th International Conference on Information Networking (ICOIN '16), pp. 406–411, IEEE, Kota Kinabalu, Malaysia, January 2016. View at Publisher · View at Google Scholar · View at Scopus
  12. S. H. R. Bukhari, M. H. Rehmani, and S. Siraj, “A survey of channel bonding for wireless networks and guidelines of channel bonding for futuristic cognitive radio sensor networks,” IEEE Communications Surveys and Tutorials, vol. 18, no. 2, pp. 924–948, 2016. View at Publisher · View at Google Scholar · View at Scopus
  13. S. Debroy, S. De, and M. Chatterjee, “Contention based multichannel MAC protocol for distributed cognitive radio networks,” IEEE Transactions on Mobile Computing, vol. 13, no. 12, pp. 2749–2762, 2014. View at Publisher · View at Google Scholar · View at Scopus
  14. H. A. Omar, W. Zhuang, and L. Li, “VeMAC: A TDMA-based MAC protocol for reliable broadcast in VANETs,” IEEE Transactions on Mobile Computing, vol. 12, no. 9, pp. 1724–1736, 2013. View at Publisher · View at Google Scholar · View at Scopus
  15. W. Li, M.-L. Ku, Y. Chen, and K. J. Ray Liu, “On outage probability for two-way relay networks with stochastic energy harvesting,” IEEE Transactions on Communications, vol. 64, no. 5, pp. 1901–1915, 2016. View at Publisher · View at Google Scholar · View at Scopus
  16. Z.-T. Li, Q. Chen, G.-M. Zhu, Y.-J. Choi, and H. Sekiya, “A low latency, energy efficient MAC protocol for wireless sensor networks,” International Journal of Distributed Sensor Networks, vol. 2015, Article ID 946587, 9 pages, 2015. View at Publisher · View at Google Scholar · View at Scopus
  17. Y. Lee, E.-C. Park, and C.-H. Choi, “Signaling-free max-min airtime fairness in IEEE 802.11 ad hoc networks,” Mobile Information Systems, vol. 2016, Article ID 9586893, 19 pages, 2016. View at Publisher · View at Google Scholar · View at Scopus
  18. J.-H. Noh and S.-J. Oh, “Beamforming in a multi-user cognitive radio system with partial channel state information,” IEEE Transactions on Wireless Communications, vol. 12, no. 2, pp. 616–625, 2013. View at Publisher · View at Google Scholar · View at Scopus
  19. R. S. Chib, Y. Singh, S. Singh, and R. Gupta, “Performance & Evaluation of propagation models for sub-urban areas,” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 4, no. 2, pp. 607–614, 2015. View at Publisher · View at Google Scholar
  20. W. Guibène and D. Slock, “Cooperative spectrum sensing and localization in cognitive radio systems using compressed sensing,” Journal of Sensors, vol. 2013, Article ID 606413, 9 pages, 2013. View at Publisher · View at Google Scholar · View at Scopus