انتقال داده بهینه در شبکه های اینترنت اشیا مبتنی بر حسگر بی سیم با تلفیق برنامه ریزی خطی و درخت انتشار کمینه
محورهای موضوعی : electrical and computer engineeringمحسن حیدریان 1 * , ساغر قربانی 2
1 - دانشکده فناوری اطلاعات و مهندسی کامپیوتر، دانشگاه شهید مدنی آذربایجان، تبریز، ایران،
2 - دانشکده فناوری اطلاعات و مهندسی کامپیوتر، دانشگاه شهید مدنی آذربایجان، تبریز، ایران،
کلید واژه: انتقال بهینه, درخت کمینه, شبکه حسگر بی سیم, طول عمر شبکه.,
چکیده مقاله :
در شبکه های اینترنت اشیاء موبایل (MIoT) مبتنی بر مه، مدیریت مصرف انرژی تحقیقات فراوانی را به خود اختصاص داده است. در شبکه اینترنت اشیاء حسگرهای بی سیم برای تامین انرژی خود از باطری با ظرفیت محدود استفاده میکنند لذا عملیاتی مثل جمعآوری داده ها و مسیریابی که باعث مصرف انرژی می شود نیاز به بهینه سازی دارد. جهت مدیریت این چالش ها می توان از اصول طراحی شبکه های سبز و روشهای بهینه سازی استفاده کرد و به افزایش طول عمر شبکه، بهینه سازی مصرف انرژی و افزایش کارایی شبکه کمک کرد. در این مقاله از روشهای بهینه سازی خطی و الگوریتم های مبتنی بر نظریه گراف استفاده میشود و یک الگوریتم مسیریابی جدید با عنوان الگوریتم مسیریابی انرژی- آگاه QoS بهینه (OQEAR) ارائه میشود که می تواند مصرف بهینه انرژی، کیفیت خدمات دهی، طول عمر شبکه و کارایی را بهبود ببخشد. مدل سازی ریاضی و شبیهس ازی روش جدید نشان میدهد که این الگوریتم در مقایسه با روش های موجود می تواند داده های بیشتری را با طی کردن مسیرهای کوتاه تر از شبکه عبور دهد و به نحو مطلوبی منابع شبکه را به کار بگیرد.
In Mobile Internet of Things (MIoT) or Wireless Sensor Network (WSN) networks, which can be fog-based, there are challenges such as energy consumption management, Quality of Service (QoS) improvement, and reliability, which have attracted a lot of research. have given. Limited resources and dynamic topology in these networks have made these challenges more complicated. In the Internet of Things network, wireless sensors use a battery with a limited capacity to supply their energy, so operations such as data collection and routing that cause energy consumption need to be optimized. In order to manage these challenges, the principles of green network design and optimization methods can be used to help increase the life of the network, optimize energy consumption, and increase network efficiency. In this article, linear optimization methods and graph theory-based algorithms are used, and a new routing algorithm is presented that can improve optimal energy consumption, QoS, network lifetime, and efficiency. Mathematical modeling and simulation of the new method show that this algorithm, compared to existing methods, can pass more data through the network by taking shorter routes and use the network resources optimally
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