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


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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic


eISSN: 1178-5608



VOLUME 7 , ISSUE 5 (December 2014) > List of articles

Special issue ICST 2014

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

Ahmad Patooghy / Meisam Kamarei / Ali Farajzadeh / Fatemeh Tavakoli / Mehdi Saeidmanesh

Keywords : Energy Consumption, Mobile Data Collector,   Load-Balancing; Wireless Sensor Networks

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 5, Pages 1-5, DOI: https://doi.org/10.21307/ijssis-2019-134

License : (CC BY-NC-ND 4.0)

Published Online: 15-February-2020



 Decrease in the time interval between the first node death and the last node death, due to the completion of their energy supply, is the main goal of load-balancing methods in Wireless Sensor Networks (WSN). This paper proposes a Load-Balancing Enhancement (LBE) method, in WSN. LBE method uses a mobile data collector to data gathering from sensor nodes. The mobile data collector can directly communicate with the base station. Indeed, the mobile data collector acts as an interface between sensor nodes and the base station. LBE method divides WSN to four logical partitions. Then, LBE method directs the mobile data collector to the center of each logical partition of the network with considering the density and the mean residual energy of the desired partition, i.e., the more the partition density and the mean residual energy, the more the obtaining chance of the desired partition. Simulation results that have been implemented with NS-2 software show LBE method achieves load-balancing in energy consumption for all logical partitions. LBE method also balances logical partitions density and it increases the network coverage efficiency.

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[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.

[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.

[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.

[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.

[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.

[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.

[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.

[8] M. Marta and M. Cardei, "Improved sensor network lifetime with multiple mobile sinks," Pervasive and Mobile Computing, vol. 5, pp. 542-555, 2009.

[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

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.