Improving energy consuming in WSN using mobile sink

Authors

  • Ayoub Gholizadeh Pajeti Electronic Branch, Islamic Azad University
  • Nazbanuo Farzaneh Bahalgardi Imam Reza University

DOI:

https://doi.org/10.24200/jrset.vol5iss01pp1-8

Abstract

Wireless sensor networks (WSN) are consisted of many sensors which often are located in harsh and out-of-reach environments. One of the main challenges in WSNs is the limitation of theenergy consumption. One of applied methods for mitigating the energy consumption in these WSNs is to make use of the mobile sink in order to collect data of the sensor nodes from the network. In this research, a new method based on the Genetic Algorithm and fuzzy logic is proposed for reducing the WSN’s energy consumption using the mobile sink. In proposed procedure, the suitable mobile sink’s routing is determined using GA. GA functions based on stop stations position, stop time period and the coverage radius. The evaluation function in GA calculates the GA responses’ quality with phasing the network’s residual energy, amount of data collected and balance of energy consumption between network nodes. The simulation results indicate that the proposed method in different scenarios provides optimal performance in term of motion rout determination and increase in WSN lifetime relative to other existing methods. 

References

Chatzigiannakis, I., Kinalis, A., &Nikoletseas, S. Efficient data propagation strategies in wireless sensor networks using a single mobile sink. Computer Communications, 2008, 31(5), 896-914.

Yang, Y., Fonoage, M. I., &Cardei, M. Improving network lifetime with mobile wireless sensor networks. Computer communications, 2010, 33(4), 409-419.

Khan, M. I., Gansterer, W. N., & Haring, G. Static vs. mobile sink: The influence of basic parameters on energy efficiency in wireless sensor networks. Computer communications, 2013, 36(9), 965-978.

Shah, R. C., Roy, S., Jain, S., & Brunette, W. Data mules: Modeling and analysis of a three-tier architecture for sparse sensor networks. Ad Hoc Networks, 2003, 1(2), -233-215.

Basagni, S., Carosi, A., Melachrinoudis, E., Petrioli, C., & Wang, Z. M. Controlled sink mobility for prolonging wireless sensor networks lifetime. Wireless Networks, 2008, 14(6), 831-858.

Zhao, H., Guo, S., Wang, X., & Wang, F. Energy-efficient topology control algorithm for maximizing network lifetime in wireless sensor networks with mobile sink. Applied Soft Computing, 2015, 34, 539-550

Vincze, Z., Vass, D., Vida, R., Vidács, A., &Telcs, A. Adaptive sink mobility in event-driven multi-hop wireless sensor networks. In Proceedings of the first international conference on Integrated internet ad hoc and sensor networks , (2006, May), (p. 13). ACM.

Zhang, H., Shen, H., & Tan, Y. Optimal energy balanced data gathering in wireless sensor networks. In 2007 IEEE International Parallel and Distributed Processing Symposium, (2007, March), (pp. 1-10). IEEE.

Published

2019-09-13

Issue

Section

Articles