دانلود رایگان مقاله انگلیسی تخصیص بهینه منابع در شبکه های حسگر مجازی - نشریه الزویر

عنوان فارسی
تخصیص بهینه منابع در شبکه های حسگر مجازی
عنوان انگلیسی
On optimal resource allocation in virtual sensor networks
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
18
سال انتشار
2016
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E35
رشته های مرتبط با این مقاله
مهندسی فناوری اطلاعات
گرایش های مرتبط با این مقاله
شبکه های کامپیوتری
مجله
شبکه های Ad hoc
دانشگاه
موسسه تحقیقات مهندسی آراگون، دانشگاه د ساراگوسا، اسپانیا
کلمات کلیدی
شبکه های حسگر بی سیم، مجازی سازی، تخصیص منابع، اینترنت اشیا، بهینه سازی
چکیده

abstract


Sensor network virtualization is a promising paradigm to move away from highly-customized, application-specific wireless sensor network deployment by opening up to the possibility of dynamically assigning general purpose physical resources to multiple stakeholder applications. In this field, this paper introduces an optimization framework to perform the allocation of physical shared resources of wireless sensor networks to multiple requesting applications. The proposed optimization framework aims to maximize the total number of applications which can share a common physical network, while accounting for the distinguishing characteristics and limitations of the wireless sensor environment (limited storage, limited processing power, limited bandwidth, tight energy consumption requirements). Due to the complexity of the optimization problem, a heuristic algorithm is also proposed. The proposed framework is finally evaluated by simulation considering realistic parameters from actual sensor nodes and deployed applications to provide a detailed performance evaluation and to assess the gain involved in letting multiple applications share a common physical network with respect to one-application, one-network vertical design approaches

نتیجه گیری

6. Conclusion


In this paper we have analyzed the benefit of virtualization in the field of wireless sensor networks. Namely, we have proposed an optimization approach to assign the resources of a shared sensor network to multiple different applications. The proposed approach targets the maximization of the overall revenue out of the application deployment process (that is, number of deployed applications) while minimizing the cost of the required physical infrastructure (number of sensor nodes). The proposed approach accounts for constraints on the sensor nodes capabilities (memory, computation, energy) and network limitations (topology, shared bandwidth). Given the complexity of the proposed optimization problem, a heuristic algorithm is also proposed to obtain suboptimal solutions in limited computation time.


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