Development of wireless sensor network routing model taking into account correction of energyconsumption imbalance
DOI:
https://doi.org/10.15587/2312-8372.2015.44817Keywords:
wireless sensor network, multi-path routing, energy consumptionAbstract
Designing of a wireless sensor network with autonomous nodes arises the question how to provide the maximum duration of its life. For this purpose the paper proposes to use multipath routing mode supporting energy balancing of network nodes. The results of studies show that if the role of nodes is dynamically changed and the topology of the network is dynamically rebuilt, it is possible to bring the lifetime of the network to the terminal device lifetime. This increase of the lifetime is possible due to the fact that each of the nodes most of the time will be in the role of the terminal device. At the same time sets of concurrent routers rotate each other. Decisions on how to rebuild the topology of the network are accepted by the coordinator. The problem of multipath routing in view of redressing the imbalance of power consumption is solved. To achieve maximizing network lifetime it is necessary to find the maximum number of independent sets of routers. In solving the optimization problem of quadratic programming a uniform load between the transit nodes is obtained and hence their energy consumption will be equal.References
- Shostko, I. S., Sosedka, J. E. (2014). Analysis of the energy consumption of modules for wireless sensor networking standard IEEE 802.15.4. Radio engineering, 176, 253–257.
- Shostko, I. S., Sosedka, J. E. (2015). Remedy the imbalance of power consumption in a wireless sensor network. Scientific conference "Application of information technology in the preparation of forces and law enforcement". Kharkov: Academy of National Guard of Ukraine, 7–8
- Shostko, I. S., Sosedka, J. E. (2014). Analysis of power consumption and working offline elements of wireless sensor networks. Collection of scientific work HUVS "Information processing systems", 5 (121), 100–104.
- Chen, Y., Nasser, N. (2006). Energy-balancing multipath routing protocol for wireless sensor networks. Proceedings of the 3rd international conference on Quality of service in heterogeneous wired/wireless networks - QShine ’06. Vol. 21. ACM Press, 245–249. doi:10.1145/1185373.1185401
- Efremov, S. G. (2012). Modeling lifetime dynamically reconfigurable sensor networks with mobile sink. Dissertation of Ph.D. M., 143.
- Hussain, T. J. (2013). Methods of improving the quality of monitoring sensor networks. Dissertation of Ph.D. Kh., 166.
- Yan Jin, Ling Wang, Ju-Yeon Jo, Yoohwan Kim, Mei Yang, Yingtao Jiang. (2009, March). EECCR: An Energy-Efficient m-Coverage and n-Connectivity Routing Algorithm Under Border Effects in Heterogeneous Sensor Networks. IEEE Transactions on Vehicular Technology, Vol. 58, № 3, 1429–1442. doi:10.1109/tvt.2008.926216
- Yuping Dong, Hwa Chang, Zhongjian Zou, Sai Tang. (2011). An Energy Conserving Routing Algorithm for Wireless Sensor Networks. International Journal of Future Generation Communication and Networking, Vol. 4, № 1, 39–54. doi:10.14257/ijfgcn
- Wang, Q., Hempstead, M., Yang, W. (2006). A Realistic Power Consumption Model for Wireless Sensor Network Devices. 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks. Vol. 1. IEEE, 286–295. doi:10.1109/sahcn.2006.288433
- Gautam, G. C., Sharma, T. P. (2011). A comparative study of time synchronization protocols in wireless sensor networks. International Journal of Applied Engineering Research, Dindigul, Vol. 1, № 4, 691–705.
- Sicari, S., Grieco, L. A., Boggia, G., Coen-Porisini, A. (2012, January). DyDAP: A dynamic data aggregation scheme for privacy aware wireless sensor networks. Journal of Systems and Software, Vol. 85, № 1, 152–166. doi:10.1016/j.jss.2011.07.043
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Copyright (c) 2016 Игорь Светославович Шостко, Юлия Эдуардовна Куля
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