Optimal Cluster Head Number Based On Entroy For Data Aggregation In Wireless Sensor Networks

[1]J. Yick, B. Mukherjee, and D. Ghosal, “Wireless Sensor Network Survey,” Computer Networks, vol.52, no.12, pp.2292–2330, 2008. Search in Google Scholar

[2]M. Liu, N. Patwari, and A. Terzis, “Scanning the issue,” in Proceedings of IEEE, vol. 98, no. 11, pp. 1804–1807, 2010. Search in Google Scholar

[3]T. Ko, J. Hyman, E. Graham, M. Hansen, S. Soatto, and D. Estrin,”Embedded imagers: Detecting, localizing, and recognizing objects and events in natural habitats,” in Proceedings of IEEE, vol. 98, no. 11, pp. 1934–1946, 2010. Search in Google Scholar

[4]S. L. Xiao, J. C. Huang, L.B. Pan, Y.B. Cheng, and J.P. Liu “On centralized and distributed algorithms for minimizing data aggregation time in duty-cycled wireless sensor networks,” Wireless Networks, vol. 20, no.7, pp.1729–1741, 2014. Search in Google Scholar

[5]S. Roy, M. Conti, S. Setia, and S. Jajodia. “Secure Data Aggregation in Wireless Sensor Networks: Filtering out the Attacker’s Impact,” IEEE Transactions on Information Forensics and Security, vol.9, no.4, pp.681-694, 2014.10.1109/TIFS.2014.2307197 Search in Google Scholar

[6]A. De San Bernabe, J. R. Martinez-de Dios, and A. Ouero, “Entropy-aware Cluster-based Object Tracking for Camera Wireless Sensor Networks,” in Proceedings of the 25th IEEE\RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 39853992, Algarve, PORTUGAL, October, 2012. Search in Google Scholar

[7]F. Bajaber and I. Awan, “An efficient cluster-based communication protocol for wireless sensor networks,” Telecommunication Systems, vol.55, no.3 pp. 387-401, 2014.10.1007/s11235-013-9794-y Search in Google Scholar

[8]J. Y. Lee, K. Jung, H. Jung, and D. Lee, “Improving the Energy Efficiency of a Cluster Head Election for Wireless Sensor Networks,” International Journal of Distributed SensorNetworks, vol.2014, pp.1-6, 2014. Search in Google Scholar

[9]T. K. Jain, D. S. Saini, and S. V. Bhooshan, “Cluster Head Selection in a Homogeneous Wireless Sensor Network Ensuring Full Connectivity with Minimum Isolated Nodes,” Journal of Sensors, vol.2014, pp.1-8, 2014. Search in Google Scholar

[10]F. Hashikawa and K. Morioka, “An Assistance System for Building Intelligent Spaces Based on Mapsharing Among a Mobile Robot and Distributed Sensors” International Journal on Smart Sensing and Intelligent Systems, vol.8, no.1 pp. 1-25, 2015.10.21307/ijssis-2017-746 Search in Google Scholar

[11]K. Morioka, S. Kovacs, J. Lee, and P. Korondi, “A Cooperative Object Tracking System with Fuzzy-Based Adaptive Camera Selection”, International Journal on Smart Sensing and Intelligent Systems, vol.3, no.3, pp.338-358, 2010.10.21307/ijssis-2017-396 Search in Google Scholar

[12]K. Morioka, F. Hashikawa, T. Takigawa, “Human Identification Based on Walking Detection with Acceleration Sensor and Networked Laser Range Sensors in Intelligent Space”, International Journal on Smart Sensing and Intelligent Systems, vol.6, no.5, pp.2040-2053,2013. Search in Google Scholar

[13]B. Manzoor, N. Javaidl, O. Rehman, M. Akbar, Q. Nadeem, A.Lqbal, and M. Lshfaq “Q-LEACH: A New Routing Protocol for WSNs,” Procedia Computer Science, vol.16, no.9, pp. 926 - 931, 201310.1016/j.procs.2013.06.127 Search in Google Scholar

[14]C. Ranhotigamage and S. C. Mukhopadhyay, “Field Trials and Performance Monitoring of Distributed Solar Panels Using a Low Cost Wireless Sensors Network for Domestic Applications”, IEEE Sensors Journal, Vol. 11, No. 10, October 2011, pp. 2583-2590.10.1109/JSEN.2011.2150214 Search in Google Scholar

[15]K. Muthumeenakshi and S. Radha, “Optimal Techniques for Sensing Error Minimization with Improved Energy Detection in Cognitive Radios,” International Journal on Smart Sensing and Intelligent Systems, vol.7, no.4, pp.2014-2034, 2014. Search in Google Scholar

[16]S. Banerjee and S. Khuller, “Coverage Holes Recovery Algorithm Based on Nodes Balance Distance of Underwater Wireless Sensor Network,” International Journal on Smart Sensing and Intelligent Systems, vol.7, no.4, pp.1890-1907, 2014. Search in Google Scholar

[17]H. C. Jing, “A time-based cluster-head selection algorithm for LEACH,” in Proceedings of the 13th IEEE Symposium on Computers and Communications, pp. 1172-1176, Marrakech, Morocco, July 2008. Search in Google Scholar

[18]B. Y. Wang, “Optimized LEACH protocol based on cluster-head option and number of nodes,” Journal of Changchun University of Technology (Natural Science Edition), vol.34, no.6, pp.704-709, 2013. Search in Google Scholar

[19]V. Pal, G. Singh, and R. P. Yadav, “Optimizing Number of Cluster Heads in Wireless Sensor Networks for Clustering Algorithms,” in Proceedings of the 2nd International Conference on Soft Computing for Problem Solving (SocProS), pp.1267-1274,Jaipur, INDIA, December 2012. Search in Google Scholar

[20]Federico Castanedo, “A Review of Data aggregation Techniques,” The Scientific World Journal, vol. 2013, Article ID 704504, pp. 1-19, 2013. Search in Google Scholar

[21]D.L. Hall and J. Llinas, “An Introduction to Multisensory Data aggregation,” in Proceeding of the IEEE, vol.85, no.1, pp. 6-23, 1997.10.1109/5.554205 Search in Google Scholar

[22]H.P. Huang, L. Chen, X. Cao, R.C. Wang and Q.Y. Wang, “Weight-Based Clustering Decision Fusion Algorithm for Distributed Target Detection in Wireless Sensor Networks,” International Journal of Distributed Sensor Networks, vol. 2013, Article ID 192675, pp. 1-9, 2013. Search in Google Scholar

[23]J.A. Nazabal, F. Falcone, C. Fernandez-Valdivielso, S.C. Mukhopadhyay and I.R. Matias, “Accessing KNX Devices using USB/KNX Interfaces for Remote Monitoring and Storing Sensor Data”, International Journal of Smart Homes, Vol. 7, No. 2, March 2013, pp. 101-110. Search in Google Scholar

[24]H.M. Abdulsalam and B.A. Ali, “W-LEACH Based Dynamic Adaptive Data Aggregation Algorithm for Wireless Sensor Networks,” International Journal of Distributed Sensor Networks, vol. 2013, Article ID 289527, pp. 1-11, 2013. Search in Google Scholar

[25]E. Ahvar, S. Ahvar, G.M. Lee and N. Crespi, “An Energy-Aware Routing Protocol for Query-Based Applications in Wireless Sensor Networks,” The Scientific World Journal, vol. 2014, Article ID 359897, pp. 1-9, 2014. Search in Google Scholar

[26]K. Yang, Y.M. Wu and H.B. Zhou, “Research of Optimal Energy Consumption Model in Wireless Sensor Network Computer Engineering and Technology,” in Proceeding of Computer Engineering and Technology (ICCET), pp. 421-424, 2010.10.1109/ICCET.2010.5485506 Search in Google Scholar

[27]R.Y. Yu, X.W. Wang and X.S. Yi, “Energy-Balancing Data Collection based on the Multiplicatively Weighted Voronoi Diagram in Sensor Networks,” Journal of Northeastern University (Natural Science), vol. 30, no. 12, pp. 1718-1722, 2009. Search in Google Scholar

[28]J. Yang, S.Q. Zhang, X.L. Zhang, and F. Ding, “Study on Method of Determining Data Aggregators Number for Wireless Sensor Network,” Microcomputer Information (Control & Automation), vol. 22, no. 9-1, pp. 161-163, 2006. Search in Google Scholar

[29]X.Y. Deng and J. Huang, “Optimal Data Acquisition Scheme about LEACH,” Journal of Southeast University (Natural Science Edition), vol. 42, no.1, pp. 20-24, 2012. Search in Google Scholar

[30]D. B. Gu and H. S. Hu, “spatial Gaussian Process Regression with Mobile Sensor Networks,” IEEE Transactions on Neural Networks and Learning Systems, vol.23, no.8, pp.1279-1290, 2012. Search in Google Scholar

[31]A. Sinha and D. K. Lobiyal, “A Multi-Level Strategy for Energy Efficient Data Aggregation in Wireless Sensor Networks,” Wireless Personal Communications, vol.72, no.2, pp.15131531, 2013. Search in Google Scholar

[32]Z. Sheng and S.Q. Xie, Probability Theory and Mathematical Statistics, Beijing: Higher Education Press, 1979. Search in Google Scholar

[33]M.Q. Zhou, Information Theory (3), Beijing: Beijing Aerospace University Press, 2006. Search in Google Scholar