Load-Balancing Enhancement by a Mobile Data Collector in Wireless Sensor Networks

[1]F. Aiello, et al., “An agent-based signal processing in-node environment for real-time human activity monitoring based on wireless body sensor networks,” Engineering Applications o fArtificial Intelligence, vol. 24, pp. 1147–1161, 2011. Search in Google Scholar

[2]K. Lin, M. Chen, S. Zeadally, and J. J. P. C. Rodrigues, “Balancing energy consumption with mobile agents in wireless sensor networks,” Future Generation Computer Systems, vol. 28, pp. 446–456, 2012. Search in Google Scholar

[3]M. Liu, S. Xu, and S. Sun, “An agent-assisted QoS-based routing algorithm for wireless sensorn etworks,” Journal of Network and Computer Applications, vol. 35, pp. 29–36, 2012. Search in Google Scholar

[4]S. Vupputuri, K. K. Rachuri, and C. S. Murthy, “Using mobile data collectors to improve network lifetime of wireless sensor networks with reliability constraints,” J. Parallel Distrib. Comput., vol. 70, pp. 767-778, 2010. Search in Google Scholar

[5]S. G. a. M. K. D. R. Dutta, “Power Consumption and Maximizing Network Lifetime during Communication of Sensor Node in WSN,” Procedia Technology, vol. 4, pp. 158-162, 2012. Search in Google Scholar

[6]K. Lahmar, R. Chéour, and M. Abid, “Wireless Sensor Networks: Trends, Power Consumption and Simulators,” in Sixth Asia Modelling Symposium, pp. 200-204, 2012. Search in Google Scholar

[7]M. Kamarei, M. Hajimohammadi, A. Patooghy, and M. Fazeli, “OLDA: An Efficient On-Line Data Aggregation Method for Wireless Sensor Networks,” in Eighth International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA 2013), Compiegne, France, pp. 49-53, 2013. Search in Google Scholar

[8]M. Marta and M. Cardei, “Improved sensor network lifetime with multiple mobile sinks,” Pervasive and Mobile Computing, vol. 5, pp. 542-555, 2009. Search in Google Scholar

[9]H. Yoo, M. Shim, and D. Kim, “A scalable multi-sink gradient-based routing protocol for traffic load balancing,” Journal on Wireless Communications and Networking EURASIP, vol. 85, pp. 1-16, 2011. Search in Google Scholar

[10]S. Kwon, J. H. Ko, J. Kim, and C. Kim, “Dynamic timeout for data aggregation in wireless sensor networks,” Computer Networks, vol. 55, no. 3, pp. 650-664, 2011. Search in Google Scholar

[11]T. Srisooksai, et al., “Practical data compression in wireless sensor networks: A survey,” Journal of Network and Computer Applications, vol. 35, no. 1, pp. 37–59, 2012. Search in Google Scholar

[12]S. R. S. J. W. B. R. Shah, “Data MULEs: Modeling a three-tier architecture for sparse sensor networks,” in 1st IEEE International Workshop on Sensor Network Protocols and Applications, pp. 30-41, 2003. Search in Google Scholar

[13]A. A. Somasundara, et al., “Controllably mobile infrastructure for low energy embedded networks,” IEEE Transactions on Mobile Computing, vol. 5, no. 8, pp. 958-973, 2006. Search in Google Scholar

[14]B. Behdani, Y. S. Yun, J. C. Smith, and Y. Xia, “Decomposition algorithms for maximizing the lifetime of wireless sensor networks with mobile sinks,” Computers & Operations Research, vol. 39, pp. 1054–1061, 2012. Search in Google Scholar

[15]P. D. Hossein Zadeh, C. Schlegel, and M. H. Schlegel, “Distributed optimal dynamic base station positioning in wireless sensor networks,” Computer Networks, vol. 56, p. 34–49, 2012. Search in Google Scholar

[16]J. Yu, Y. Qi, G. Wang, and X. Gu, “A cluster-based routing protocol for wireless sensor networks with nonuniform node distribution,” AEU - International Journal of Electronics and Communications, vol. 66, no. 12, pp. 54-61, 2012. Search in Google Scholar

[17]D. Bein, Y. Wen, S. Phoha, B. B. Madan, and A. Ray, “Distributed network control for mobile multi-modal wireless sensor networks,” J. Parallel Distrib. Comput., vol. 71, pp. 460–470, 2011. Search in Google Scholar

[18]Y. Bi, et al., “HUMS: An autonomous moving strategy for mobile sinks in data-gathering sensor networks,” EURASIP Journal on Wireless Communications and Networking, 2007. Search in Google Scholar

[19]F. Tong, R. Xie, L. Shu, and Y. C. Kim, “A Cross-Layer Duty Cycle MAC Protocol Supporting a Pipeline Feature for Wireless Sensor Networks,” Sensors, vol. 11, no. 5, pp. 5183-5201, 2011. Search in Google Scholar

[20]B. C. Cheng, et al., “Network lifetime bounds for hierarchical wireless sensor networks in the presence of energy constraints,” Computer Networks, vol. 56, no. 2, pp. 820–831, 2012. Search in Google Scholar

[21]J. Luo and J. P. Hubaux, “Joint mobility and routing for lifetime elongation in wireless sensor networks,” in Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies, pp. 1735-1746, 2005. Search in Google Scholar

[22]J. Wang, Y. Yin, J. U. Kim, S. Kim, and C. Lai, “An Mobile-sink Based Energy-efficient Clustering Algorithm for Wireless Sensor Networks,” in IEEE 12th International Conference on Computer and Information Technology, pp. 678-683, 2012. Search in Google Scholar

[23]C. Zhu, C. Zheng, L. Shu, and G. Han, “A survey on coverage and connectivity issues in wireless sensor networks,” Journal of Network and Computer Applications, vol. 35, pp. 619–632, 2012. Search in Google Scholar

[24]S. V. Annlin Jeba and B. Paramasivan, “Energy efficient multipath data transfer scheme to mitigate false data injection attack in wireless sensor networks,” Computers and Electrical Engineering, vol. 39, pp. 1867–1879, 2013.Search in Google Scholar