دانلود مقاله ISI انگلیسی شماره 67592
عنوان فارسی مقاله

جمع آوری داده ها با کمک تحرک با آگاهی تابش خورشیدی در شبکه های حسگر بی سیم replenishable انرژی ناهمگن

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
67592 2015 10 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Mobility assisted data gathering with solar irradiance awareness in heterogeneous energy replenishable wireless sensor networks
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Computer Communications, Volume 69, 15 September 2015, Pages 88–97

کلمات کلیدی
شبکه های حسگر قابل شارژبی سیم - دوباره پر کردن انرژی همراه؛ خوشه؛ آگاهی تابش خورشیدی
پیش نمایش مقاله
پیش نمایش مقاله جمع آوری داده ها با کمک تحرک با آگاهی تابش خورشیدی در شبکه های حسگر بی سیم replenishable انرژی ناهمگن

چکیده انگلیسی

Wireless sensor networks adopting static data gathering may suffer from unbalanced energy consumption due to non-uniform packet relay. Although mobile data gathering provides a reasonable approach to solving this problem, it inevitably introduces longer data collection latency due to the use of mobile data collectors. In the meanwhile, energy harvesting has been considered as a promising solution to relieve energy limitation in wireless sensor networks. In this paper, we consider a joint design of these two schemes and propose a novel two layer heterogeneous architecture for wireless sensor networks, which consists of two types of nodes: sensor nodes which are static and powered by solar panels, and cluster heads that have limited mobility and can be wirelessly recharged by power transporters. Based on this network architecture, we present a data gathering scheme, called mobility assisted data gathering with solar irradiance awareness (MADG-SIA), where sensor nodes are clustered around cluster heads that adaptively change their positions according to solar irradiance, and the sensing data are forwarded to the data sink by these cluster heads working as data aggregation points. We evaluate the performance of the proposed scheme by extensive simulations and the results show that MADG-SIA provides significant improvement in terms of balancing energy consumption and the amount data gathered compared to previous work.

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