کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4942590 | 1437413 | 2017 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Game theory based node scheduling as a distributed solution for coverage control in wireless sensor networks
ترجمه فارسی عنوان
برنامه ریزی گره مبتنی بر نظریه بازی به عنوان یک راه حل توزیع شده برای کنترل پوشش در شبکه های حسگر بی سیم
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کلمات کلیدی
مشکل پوشش منطقه، تئوری بازی، طول عمر شبکه، روش های زمان بندی گره توزیع شده، شبکه های حسگر بی سیم،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
One of the important quality of services of Wireless Sensor Networks is the coverage, which focuses on providing near optimum coverage rate without decreasing network lifetime. Many distributed solutions have been proposed for this issue most of which try to select a minimum number of nodes as active while keeping others in sleep mode to preserve energy and extend network lifetime. However, these methods suffer from lacking a mathematical basis for their nodes selection approach. In this paper, we propose a distributed method for tackling this challenge by exploiting Game Theory as the mathematical basis for selecting active nodes named Game Theory based node Scheduling for Coverage control (GTSC). In GTSC, nodes compete each other to become active through exploiting their coverage redundancy, activation cost, the number of active neighbors, and uncovered region. The comparison of simulation results with the results of a well-known method and a state-of-the-art one shows that the proposed method outperforms both of them in terms of prolonging coverage, network lifetime, and energy efficiency, besides the redundancy rate reduction.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 65, October 2017, Pages 137-146
Journal: Engineering Applications of Artificial Intelligence - Volume 65, October 2017, Pages 137-146
نویسندگان
Mahdi Movassagh, Hadi S. Aghdasi,