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Reduce Consumption Energy Wireless Sensor Networks using Learning Automata

عنوان مقاله: Reduce Consumption Energy Wireless Sensor Networks using Learning Automata
شناسه ملی مقاله: NSOECE01_074
منتشر شده در کنفرانس بین المللی سیستمهای غیر خطی و بهینه سازی مهندسی برق و کامپیوتر در سال 1394
مشخصات نویسندگان مقاله:

Chamran Asgari - Department of Computer Engineering, Payame Noor University, Iran.

خلاصه مقاله:
In wireless sensor networks, reduce consumption energy has a direct impact on increasing the lifetime of network, Data aggregation has been put forward as an essential paradigm for wireless routing in networks. The idea is to combine the data coming from different sources, eliminating redundancy, minimizing the number of transmissions and thus saving energy. For this purpose, in this paper we propose an energy aware algorithm for construction the virtual backbone. With use of a scheduling program, we create CDS branches avoid of create the CDS with a lot hop length. The proposed algorithm considers both the consumption energy and remaining energy parameters to construct the virtual backbone which increases the network lifetime. In this paper, a learning automata based data aggregation method in sensor networks will be proposed. To evaluate the performance of the proposed method computer simulations have been conducted and the results are compared with the results of previous methods. The results have shown that the proposed method outperforms in terms of energy consumption and network lifetime is better than previous methods.

کلمات کلیدی:
Wireless Sensor Networks, Data aggregation, Learning Automata, Virtual Backbone

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/383346/