References
- T.-L. Pham and D.-S. Kim, "Routing protocol over lossy links for ISA100.11a industrial wireless sensor networks," Wireless Networks, pp. 1-12, 2014.
- T. T. Le and D.-S. Kim, "An efficient throughput improvement through bandwidth awareness in cognitive radio networks," Journal of Communications and Networks (JCN), vol. 16, no. 2, pp. 146-154, 2014. https://doi.org/10.1109/JCN.2014.000025
- T. T. Le, P. T. A. Quang, S. Y. Shin, and D.-S. Kim, "BAR: Bandwidth-Aware opportunistic localized-routing for cognitive radio networks," GC12 WS MIMOCR, pp. 937-942, Dec. 2012.
- T. M. Phuong and D.-S. Kim, "Efficient power control scheme for cognitive industrial sensor networks," International Journal of Control and Automation (IJCA), vol. 7, no. 3, pp. 177-188, 2014.
- D. D. Tan and D.-S. Kim, "Dynamic traffic-aware routing algorithm for multi-sink wireless sensor networks," Wireless Networks, vol. 19, no. 8, 2013.
- P. Samar, M. Pearlman, and Z. Haas, "Independent zone routing: an adaptive hybrid routing framework for ad hoc wireless networks," IEEE/ACM Transactions on Networking, vol. 12, no. 4, pp. 595-608, Aug. 2004. https://doi.org/10.1109/TNET.2004.833153
- M. Pearlman and Z. Haas, "Determining the optimal configuration for the zone routing protocol," IEEE Journal on Selected Areas in Communications, vol. 17, no. 8, pp. 1395-1414, Aug. 1999. https://doi.org/10.1109/49.779922
- D. Ravilla, V. Sumalatha, and P. C. S. Reddy, "Performance comparisons of ZRP and IZRP routing protocols for Ad hoc Wireless Networks," International Conference on Energy, Automation and Signal, pp. 1-8, Dec. 2011.
- D. Karaboga, "An idea based on honey bee swarm for numerical optimization," Technical Report, Oct. 2005.
- T. D. Seeley, "Honeybee Democracy," Princeton University Press, pp. 280-288, 2010.
- H. M. Lee, D.-S. Kim, "nsect-Inspired Algorithm for Zone Radius Determination in Independent Zone Routing Protocol," Proc. of 2014 29th ICROS Annual Conference (ICROS 2014) (in Korean), Daegu, Korea, pp. 25-26 Jun. 2014.
Cited by
- Indoor Localization based on Multiple Neural Networks vol.21, pp.4, 2015, https://doi.org/10.5302/J.ICROS.2015.14.0126