کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6857229 | 661905 | 2016 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Adaptive multi-path routing based on an improved leapfrog algorithm
ترجمه فارسی عنوان
مسیریابی چند مسیری متناسب با یک الگوریتم پیشرفته
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کلمات کلیدی
شبکه های حسگر بی سیم، چند راه، جابجایی، متغیر یادگیری عامل،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Congestion in wireless sensor networks (WSNs) can result in the phenomenon of packet loss, which in turn reduces throughput and wastes energy. Therefore, congestion in WSNs needs to be controlled to achieve the goals of high energy efficiency, prolonged system lifetime, and better fairness and quality of service. We propose an adaptive multi-path approach based on an improved leapfrog algorithm to solve the transmission-congestion problem in WSNs. Specifically, this paper establishes a path-satisfaction model that considers the predicted degree of congestion, the remaining energy, and the minimum number of hops. The algorithm is updated discretely during the local optimization process, and a variable learning factor is introduced. The memetic information of individual frogs is optimized with a threshold-selection strategy that encourages leaping from weaker individuals to better ones. In global optimization, the search orientation of each memeplex is based on exchanging and recombining information with other memeplexes, and a multi-path routing idea is introduced to select the optimal path. Simulation results show that this method performs well in real time, significantly improves energy efficiency, and prolongs the network lifetime.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volumes 367â368, 1 November 2016, Pages 615-629
Journal: Information Sciences - Volumes 367â368, 1 November 2016, Pages 615-629
نویسندگان
Dongyao Jia, Shengxiong Zou, Meng Li, Huaihua Zhu,