Cluster size optimisation with Tunable Elfes sensing model for single and multi-hop wireless sensor networks

References

• Abbasi, A. A., & Younis, M. (2007). A survey on clustering algorithms for wireless sensor networks. Elsevier Science direct Computer Communications, 30, 2826–2841. doi:10.1016/j.comcom.2007.05.024
   Web of Science ®Google Scholar
• Akyildiz, I. F., & Vuran, M. C. (2010). Wireless sensor networks. Chichester: John Wiley and Sons, Ltd.
   Google Scholar
• Amini, N., Vahdatpour, A., Dabiri, F., Noshadi, H., & Sarrafzadeh, M. (2009). Joint consideration of energy-efficiency and coverage-preservation in microsensor networks. In Wireless communications and mobile computing. Wiley Publication. doi:10.1002/wcm.852
   Google Scholar
• Azad, P., & Sharma, V. (2015, July). Pareto-optimal clusters scheme using data aggregation for wireless sensor networks. International Journal of Electronics, 102(7), 1165–1176. doi:10.1080/00207217.2014.966775
   Web of Science ®Google Scholar
• Banerjee, T., Xie, B., Jun, J. H., & Agrawal, D. P. (2009). Increasing lifetime of wireless sensor networks using controllable mobile cluster heads. Journal of Wireless Communications and Mobile Computing. doi:10.1002/wcm.763
   Google Scholar
• Chan, T. J., Chen, M. C., Huang, Y. F., Lin, J. Y., & Chen, T. R. (2008, August). Optimal cluster number selection in ad-hoc wireless sensor networks. WSEAS Transaction on Communication, 7(8), 837–846.
   Google Scholar
• Choi, J., & Lee, C. (2011). Energy consumption and lifetime analysis in clustered multi-hop wireless sensor networks using the probabilistic cluster-head selection method. EURASIP Journal Wirel Communication Networks, 1–13. doi:10.1186/1687-1499-2011-156
   Web of Science ®Google Scholar
• Comeau, F., Sivakumar, S. C., Robertson, W., & Phillips, W. J. (2006, January). Energy conserving architectures and algorithms for wireless sensor networks. 39th Hawaii International Conference on System Sciences, Kauai, HI (p. 236c).
   Google Scholar
• Dabirmoghaddam, A., Ghaderi, M., & Williamson, C. (2014, February). On the optimal randomized clustering in distributed sensor networks. Journal of Computer Network, 59(11), 17–32. doi:10.1016/j.bjp.2013.12.008
   Web of Science ®Google Scholar
• Elfes. (1991). Occupancy grids: A stochastic spatial representation for active robot perception. In S. S. Iyengar & A. Elfes (Eds.), Autonomous mobile robots: Perception, mapping and navigation (Vol. 1, pp. 60–70). IEEE Computer Society Press.
   Google Scholar
• Förster, A., & Murphy, A. L. (2010). Optimal cluster sizes for wireless sensor networks: An experimental analysis. Ad Hoc Networks, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 28, 49–63.
   Google Scholar
• Halgamuge, M. N., Zukerman, M., Ramamohanarao, K., & Vu, H. L. (2009). An estimation of sensor energy consumption. Progress in Electromagnetics Research B, 12, 259–295. doi:10.2528/PIERB08122303
   Google Scholar
• Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. (2002, October). An application-specific protocol architecture for wireless microsensor networks. IEEE Transaction on Wireless Communication, 1(4), 660–670. doi:10.1109/TWC.2002.804190
   Web of Science ®Google Scholar
• Hossain, A., Chakrabarti, S., & Biswas, P. K. (2012). Impact of sensing model on wireless sensor network coverage. IET Wireless Sensor Systems, 2(3), 272–281. doi:10.1049/iet-wss.2011.0101
   Google Scholar
• Ilyas, M., & Mahgoub, I. (2005). Handbook of sensor networks: Compact wireless and wired sensing systems. Boca Raton: CRC PRES.
   Google Scholar
• Karl, H., & Willig, A. (2005). Protocols and architectures for wireless sensor networks. Chichester: John Wiley and Sons, Ltd.
   Google Scholar
• Kim, H., Kim, S. W., Lee, S. B., & Son, B. (2005). Estimation of the optimal number of cluster-heads in sensor network. Knowledge-based intelligent information and engineering systems, Volume 3683 of the series Lecture Notes in Computer Science. In Proceeding of KES, Melbourne (Vol. 3, pp. 87–94). Springer.
   Google Scholar
• Kumar, V., Jain, S., & Tiwari, S. (2011). Energy efficient clustering algorithms in wireless sensor networks: A survey. IJCSI International Journal of Computer Science Issues PP, 8(5), 1694–1814.
   Google Scholar
• Kumar, V., & Tiwari, S. (2012). Routing in IPv6 over low-power wireless personal area networks (6LoWPAN): A survey. Journal of Computer Networks and Communications, 2012, 1–10. doi:10.1155/2012/316839
   Google Scholar
• Kushwaha, S., Kumar, V., & Jain, S. (2010). Node architectures and its deployment in wireless sensor networks: A survey. In High performance architecture and grid computing, Volume 169 of the series Communications in Computer and Information Science (pp. 515–526). Berlin: Springer.
   Google Scholar
• Li, H., Shunjie, X., Shurong, L., Weixia, Z., & Zheng, Z. (2009, July 10–11). Novel method for optimal number of cluster heads in LEACH. WASE International Conference on Information Engineering, Taiyuan (pp. 302–309).
   Google Scholar
• Naeimi, S., Ghafghazi, H., Chow, C., & Ishii, H. (2012). Survey on the taxonomy for cluster-based routing protocols for homogeneous wireless sensor networks. Journal of Sensor, MDPI, 12(6), 7350–7409. doi:10.3390/s120607350
   PubMed Web of Science ®Google Scholar
• Navid, A., Alireza, V., Wenyao, X., Mario, G., & Majid, S. (2012, January). Cluster size optimization in sensor networks with decentralized cluster-based protocols. Journal of Computer Communications, 35(2), 207–220. doi:10.1016/j.comcom.2011.09.009
   PubMed Web of Science ®Google Scholar
• Pottie, G., & Kaiser, W. (2000). Wireless integrated network sensors. Communications of the ACM, 43(5), 51–58. doi:10.1145/332833.332838
   Web of Science ®Google Scholar
• Singh, A. K., Purohit, N., & Varma, S. (2014, May). Analysis of lifetime of wireless sensor network with base station moves on different paths. International Journal of Electronics, 101(5), 605–620. doi:10.1080/00207217.2013.794480
   Web of Science ®Google Scholar
• Tao, Y., & Zheng, Y. L. (2006, September 22–24). The combination of the optimal number of cluster-heads and energy adaptive cluster-head selection algorithm in wireless sensor networks. In Proceedings of international conference on wireless communications, networking and mobile computing (WiCOM 2006), Wuhan (pp. 1–4).
   Google Scholar
• Tripathi, R. K., Singh, Y. N., & Verma, N. K. (2013, February). Clustering algorithms for non-uniformly distributed nodes in WSNs. Electronics Letters, 49(4), doi:10.1049/el.2012.3512
   PubMed Web of Science ®Google Scholar
• Tuah, N., Ismail, M., & Jumari, K. (2011, November 25–27). Energy efficient algorithm for heterogeneous wireless sensor network. IEEE International Conference on Control System, Computing and Engineering, Penang (pp. 92–96).
   Google Scholar
• Yang, K., Wu, Y., & Zhou, H. (2010, April). Research of optimal energy consumption model in wirelss sensor network. 2nd International Conference on Computer Engineering and Technology Chengdu, China, pp. V7-421–V7-424.
   Google Scholar
• Yu, J., Qi, Y., Wang, G., & Gu, X. (2012). A cluster based routing protocol for wireless sensor networks with Non uniform node distribution. AEU International Journal of Electronics and Communications, 66(1), 54–61. doi:10.1016/j.aeue.2011.05.002
   Web of Science ®Google Scholar
• Zhao, L., & Liang, Q. (2004). An access-based low-energy hierarchy for sensor networks. In Proceedings of the IEEE international symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Barcelona.
   Google Scholar
• Zuniga, M., & Krishnamachari, B. (2007). An analysis of unreliability and asymmetry in low power wireless links. ACM Transactions on Sensor Networks, 3(2), 1–30.
   Web of Science ®Google Scholar